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3 Commits

Author SHA1 Message Date
Romuald Członkowski
808088f25e docs: fix connection keys documentation to say "node names" not "node IDs" (#510) (#511)
The documentation incorrectly stated connection keys should be "node IDs"
when n8n actually requires "node names". This caused workflow creation
failures for AI-generated workflows.

Changes:
- tools-n8n-manager.ts: "Keys are source node names (the name field, not id)"
- n8n-create-workflow.ts: "Keys are source node names (not IDs)"
- Fixed example: "Webhook"/"Slack" instead of "webhook_1"/"slack_1"
- get-template.ts: clarified "source node names"

Closes #510

Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Romuald Członkowski <romualdczlonkowski@MacBook-Pro-Romuald.local>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-26 14:50:58 +01:00
Romuald Członkowski
20663dad0d chore: update n8n to 2.1.4 and bump version to 2.31.2 (#507)
- Updated n8n from 2.0.2 to 2.1.4
- Updated n8n-core from 2.0.1 to 2.1.3
- Updated n8n-workflow from 2.0.1 to 2.1.1
- Updated @n8n/n8n-nodes-langchain from 2.0.1 to 2.1.3
- Rebuilt node database with 540 nodes (434 from n8n-nodes-base, 106 from @n8n/n8n-nodes-langchain)
- Refreshed template database with 2,737 workflow templates from n8n.io
- Updated README badge with new n8n version
- Updated CHANGELOG with dependency changes

Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Romuald Członkowski <romualdczlonkowski@MacBook-Pro-Romuald.local>
Co-authored-by: Claude <noreply@anthropic.com>
2025-12-24 15:15:22 +01:00
Romuald Członkowski
705d31c35e fix: mcpTrigger nodes no longer flagged as disconnected (#503) (#506)
Fixed validation bug where mcpTrigger nodes were incorrectly flagged as
"disconnected nodes" when using n8n_update_partial_workflow or
n8n_update_full_workflow. This blocked ALL updates to MCP server workflows.

Changes:
- Extended validateWorkflowStructure() to check all 7 connection types
  (main, error, ai_tool, ai_languageModel, ai_memory, ai_embedding, ai_vectorStore)
- Updated trigger node validation to accept either outgoing OR inbound connections
- Added 7 new tests covering all AI connection types

Fixes #503

Conceived by Romuald Członkowski - https://www.aiadvisors.pl/en

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-authored-by: Romuald Członkowski <romualdczlonkowski@MacBook-Pro-Romuald.local>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
2025-12-23 18:50:55 +01:00
28 changed files with 864 additions and 331 deletions

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@@ -7,6 +7,74 @@ and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0
## [Unreleased]
## [2.31.3] - 2025-12-26
### Fixed
**Documentation Bug: Connection Keys Say "Node IDs" but Require "Node Names" (Issue #510)**
Fixed documentation that incorrectly stated connection keys should be "node IDs" when n8n actually requires "node names".
**Problem:**
The `n8n_create_workflow` documentation and examples showed using node IDs (e.g., `"webhook_1"`) as connection keys, but the validator requires node names (e.g., `"Webhook"`). This caused workflow creation failures and contributed to low success rates for AI-generated workflows.
**Changes:**
- Updated `tools-n8n-manager.ts` parameter description: "Keys are source node names (the name field, not id)"
- Updated `n8n-create-workflow.ts` documentation: "Keys are source node names (not IDs)"
- Fixed example to use `"Webhook"` and `"Slack"` instead of `"webhook_1"` and `"slack_1"`
- Clarified `get-template.ts` return description
**Before (incorrect):**
```javascript
connections: {
"webhook_1": { "main": [[{node: "slack_1", ...}]] } // WRONG
}
```
**After (correct):**
```javascript
connections: {
"Webhook": { "main": [[{node: "Slack", ...}]] } // CORRECT
}
```
**Impact:**
- AI models following documentation will now generate valid workflows
- Clear distinction between node `id` (internal identifier) and `name` (connection key)
- No breaking changes - validator behavior unchanged
## [2.31.2] - 2025-12-24
### Changed
- Updated n8n from 2.0.2 to 2.1.4
- Updated n8n-core from 2.0.1 to 2.1.3
- Updated n8n-workflow from 2.0.1 to 2.1.1
- Updated @n8n/n8n-nodes-langchain from 2.0.1 to 2.1.3
- Rebuilt node database with 540 nodes (434 from n8n-nodes-base, 106 from @n8n/n8n-nodes-langchain)
- Refreshed template database with 2,737 workflow templates from n8n.io
## [2.31.1] - 2025-12-23
### Fixed
**mcpTrigger Nodes No Longer Incorrectly Flagged as "Disconnected" (Issue #503)**
Fixed a validation bug where `mcpTrigger` nodes were incorrectly flagged as "disconnected nodes" when using `n8n_update_partial_workflow` or `n8n_update_full_workflow`. This blocked ALL updates to MCP server workflows.
**Root Cause:**
The `validateWorkflowStructure()` function only checked `main` connections when building the connected nodes set, ignoring AI connection types (`ai_tool`, `ai_languageModel`, `ai_memory`, `ai_embedding`, `ai_vectorStore`). Additionally, trigger nodes were only checked for outgoing connections, but `mcpTrigger` only receives inbound `ai_tool` connections.
**Changes:**
- Extended connection validation to check all 7 connection types (main, error, ai_tool, ai_languageModel, ai_memory, ai_embedding, ai_vectorStore)
- Updated trigger node validation to accept either outgoing OR inbound connections
- Added 7 new tests covering all AI connection types
**Impact:**
- MCP server workflows can now be updated, renamed, and deactivated normally
- All `n8n_update_*` operations work correctly for AI workflows
- No breaking changes for existing workflows
## [2.31.0] - 2025-12-23
### Added

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@@ -5,7 +5,7 @@
[![npm version](https://img.shields.io/npm/v/n8n-mcp.svg)](https://www.npmjs.com/package/n8n-mcp)
[![codecov](https://codecov.io/gh/czlonkowski/n8n-mcp/graph/badge.svg?token=YOUR_TOKEN)](https://codecov.io/gh/czlonkowski/n8n-mcp)
[![Tests](https://img.shields.io/badge/tests-3336%20passing-brightgreen.svg)](https://github.com/czlonkowski/n8n-mcp/actions)
[![n8n version](https://img.shields.io/badge/n8n-2.0.2-orange.svg)](https://github.com/n8n-io/n8n)
[![n8n version](https://img.shields.io/badge/n8n-2.1.4-orange.svg)](https://github.com/n8n-io/n8n)
[![Docker](https://img.shields.io/badge/docker-ghcr.io%2Fczlonkowski%2Fn8n--mcp-green.svg)](https://github.com/czlonkowski/n8n-mcp/pkgs/container/n8n-mcp)
[![Deploy on Railway](https://railway.com/button.svg)](https://railway.com/deploy/n8n-mcp?referralCode=n8n-mcp)

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@@ -1 +1 @@
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@@ -1024,14 +1024,18 @@ async function handleGetExecution(args, context) {
const client = ensureApiConfigured(context);
const schema = zod_1.z.object({
id: zod_1.z.string(),
mode: zod_1.z.enum(['preview', 'summary', 'filtered', 'full']).optional(),
mode: zod_1.z.enum(['preview', 'summary', 'filtered', 'full', 'error']).optional(),
nodeNames: zod_1.z.array(zod_1.z.string()).optional(),
itemsLimit: zod_1.z.number().optional(),
includeInputData: zod_1.z.boolean().optional(),
includeData: zod_1.z.boolean().optional()
includeData: zod_1.z.boolean().optional(),
errorItemsLimit: zod_1.z.number().min(0).max(100).optional(),
includeStackTrace: zod_1.z.boolean().optional(),
includeExecutionPath: zod_1.z.boolean().optional(),
fetchWorkflow: zod_1.z.boolean().optional()
});
const params = schema.parse(args);
const { id, mode, nodeNames, itemsLimit, includeInputData, includeData } = params;
const { id, mode, nodeNames, itemsLimit, includeInputData, includeData, errorItemsLimit, includeStackTrace, includeExecutionPath, fetchWorkflow } = params;
let effectiveMode = mode;
if (!effectiveMode && includeData !== undefined) {
effectiveMode = includeData ? 'summary' : undefined;
@@ -1044,13 +1048,28 @@ async function handleGetExecution(args, context) {
data: execution
};
}
let workflow;
if (effectiveMode === 'error' && fetchWorkflow !== false && execution.workflowId) {
try {
workflow = await client.getWorkflow(execution.workflowId);
}
catch (e) {
logger_1.logger.debug('Could not fetch workflow for error analysis', {
workflowId: execution.workflowId,
error: e instanceof Error ? e.message : 'Unknown error'
});
}
}
const filterOptions = {
mode: effectiveMode,
nodeNames,
itemsLimit,
includeInputData
includeInputData,
errorItemsLimit,
includeStackTrace,
includeExecutionPath
};
const processedExecution = (0, execution_processor_1.processExecution)(execution, filterOptions);
const processedExecution = (0, execution_processor_1.processExecution)(execution, filterOptions, workflow);
return {
success: true,
data: processedExecution

File diff suppressed because one or more lines are too long

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@@ -1 +1 @@
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@@ -6,13 +6,14 @@ exports.n8nExecutionsDoc = {
category: 'workflow_management',
essentials: {
description: 'Manage workflow executions: get details, list, or delete. Unified tool for all execution operations.',
keyParameters: ['action', 'id', 'workflowId', 'status'],
example: 'n8n_executions({action: "list", workflowId: "abc123", status: "error"})',
keyParameters: ['action', 'id', 'workflowId', 'status', 'mode'],
example: 'n8n_executions({action: "get", id: "exec_456", mode: "error"})',
performance: 'Fast (50-200ms)',
tips: [
'action="get": Get execution details by ID',
'action="list": List executions with filters',
'action="delete": Delete execution record',
'Use mode="error" for efficient failure debugging (80-90% token savings)',
'Use mode parameter for action=get to control detail level'
]
},
@@ -26,14 +27,26 @@ exports.n8nExecutionsDoc = {
- preview: Structure only, no data
- summary: 2 items per node (default)
- filtered: Custom items limit, optionally filter by node names
- full: All execution data (can be very large)`,
- full: All execution data (can be very large)
- error: Optimized for debugging failures - extracts error info, upstream context, and AI suggestions
**Error Mode Features:**
- Extracts error message, type, and node configuration
- Samples input data from upstream node (configurable limit)
- Shows execution path leading to error
- Provides AI-friendly fix suggestions based on error patterns
- Token-efficient (80-90% smaller than full mode)`,
parameters: {
action: { type: 'string', required: true, description: 'Operation: "get", "list", or "delete"' },
id: { type: 'string', required: false, description: 'Execution ID (required for action=get or action=delete)' },
mode: { type: 'string', required: false, description: 'For action=get: "preview", "summary" (default), "filtered", "full"' },
mode: { type: 'string', required: false, description: 'For action=get: "preview", "summary" (default), "filtered", "full", "error"' },
nodeNames: { type: 'array', required: false, description: 'For action=get with mode=filtered: Filter to specific nodes by name' },
itemsLimit: { type: 'number', required: false, description: 'For action=get with mode=filtered: Items per node (0=structure, 2=default, -1=unlimited)' },
includeInputData: { type: 'boolean', required: false, description: 'For action=get: Include input data in addition to output (default: false)' },
errorItemsLimit: { type: 'number', required: false, description: 'For action=get with mode=error: Sample items from upstream (default: 2, max: 100)' },
includeStackTrace: { type: 'boolean', required: false, description: 'For action=get with mode=error: Include full stack trace (default: false, shows truncated)' },
includeExecutionPath: { type: 'boolean', required: false, description: 'For action=get with mode=error: Include execution path (default: true)' },
fetchWorkflow: { type: 'boolean', required: false, description: 'For action=get with mode=error: Fetch workflow for accurate upstream detection (default: true)' },
workflowId: { type: 'string', required: false, description: 'For action=list: Filter by workflow ID' },
status: { type: 'string', required: false, description: 'For action=list: Filter by status ("success", "error", "waiting")' },
limit: { type: 'number', required: false, description: 'For action=list: Number of results (1-100, default: 100)' },
@@ -42,10 +55,15 @@ exports.n8nExecutionsDoc = {
includeData: { type: 'boolean', required: false, description: 'For action=list: Include execution data (default: false)' }
},
returns: `Depends on action:
- get: Execution object with data based on mode
- get (error mode): { errorInfo: { primaryError, upstreamContext, executionPath, suggestions }, summary }
- get (other modes): Execution object with data based on mode
- list: { data: [...executions], nextCursor?: string }
- delete: { success: boolean, message: string }`,
examples: [
'// Debug a failed execution (recommended for errors)\nn8n_executions({action: "get", id: "exec_456", mode: "error"})',
'// Debug with more sample data from upstream\nn8n_executions({action: "get", id: "exec_456", mode: "error", errorItemsLimit: 5})',
'// Debug with full stack trace\nn8n_executions({action: "get", id: "exec_456", mode: "error", includeStackTrace: true})',
'// Debug without workflow fetch (faster but less accurate)\nn8n_executions({action: "get", id: "exec_456", mode: "error", fetchWorkflow: false})',
'// List recent executions for a workflow\nn8n_executions({action: "list", workflowId: "abc123", limit: 10})',
'// List failed executions\nn8n_executions({action: "list", status: "error"})',
'// Get execution summary\nn8n_executions({action: "get", id: "exec_456"})',
@@ -54,7 +72,10 @@ exports.n8nExecutionsDoc = {
'// Delete an execution\nn8n_executions({action: "delete", id: "exec_456"})'
],
useCases: [
'Debug workflow failures (get with mode=full)',
'Debug workflow failures efficiently (mode=error) - 80-90% token savings',
'Get AI suggestions for fixing common errors',
'Analyze input data that caused failure',
'Debug workflow failures with full data (mode=full)',
'Monitor workflow health (list with status filter)',
'Audit execution history',
'Clean up old execution records',
@@ -63,18 +84,22 @@ exports.n8nExecutionsDoc = {
performance: `Response times:
- list: 50-150ms depending on filters
- get (preview/summary): 30-100ms
- get (error): 50-200ms (includes optional workflow fetch)
- get (full): 100-500ms+ depending on data size
- delete: 30-80ms`,
bestPractices: [
'Use mode="summary" (default) for debugging - shows enough data',
'Use mode="error" for debugging failed executions - 80-90% token savings vs full',
'Use mode="summary" (default) for quick inspection',
'Use mode="filtered" with nodeNames for large workflows',
'Filter by workflowId when listing to reduce results',
'Use cursor for pagination through large result sets',
'Set fetchWorkflow=false if you already know the workflow structure',
'Delete old executions to save storage'
],
pitfalls: [
'Requires N8N_API_URL and N8N_API_KEY configured',
'mode="full" can return very large responses for complex workflows',
'mode="error" fetches workflow by default (adds ~50-100ms), disable with fetchWorkflow=false',
'Execution must exist or returns 404',
'Delete is permanent - cannot undo'
],

View File

@@ -1 +1 @@
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View File

@@ -1 +1 @@
{"version":3,"file":"tools-n8n-manager.d.ts","sourceRoot":"","sources":["../../src/mcp/tools-n8n-manager.ts"],"names":[],"mappings":"AAAA,OAAO,EAAE,cAAc,EAAE,MAAM,UAAU,CAAC;AAQ1C,eAAO,MAAM,kBAAkB,EAAE,cAAc,EAmf9C,CAAC"}
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View File

@@ -336,8 +336,8 @@ exports.n8nManagementTools = [
},
mode: {
type: 'string',
enum: ['preview', 'summary', 'filtered', 'full'],
description: 'For action=get: preview=structure only, summary=2 items (default), filtered=custom, full=all data'
enum: ['preview', 'summary', 'filtered', 'full', 'error'],
description: 'For action=get: preview=structure only, summary=2 items (default), filtered=custom, full=all data, error=optimized error debugging'
},
nodeNames: {
type: 'array',
@@ -352,6 +352,22 @@ exports.n8nManagementTools = [
type: 'boolean',
description: 'For action=get: include input data in addition to output (default: false)'
},
errorItemsLimit: {
type: 'number',
description: 'For action=get with mode=error: sample items from upstream node (default: 2, max: 100)'
},
includeStackTrace: {
type: 'boolean',
description: 'For action=get with mode=error: include full stack trace (default: false, shows truncated)'
},
includeExecutionPath: {
type: 'boolean',
description: 'For action=get with mode=error: include execution path leading to error (default: true)'
},
fetchWorkflow: {
type: 'boolean',
description: 'For action=get with mode=error: fetch workflow for accurate upstream detection (default: true)'
},
limit: {
type: 'number',
description: 'For action=list: number of executions to return (1-100, default: 100)'

File diff suppressed because one or more lines are too long

View File

@@ -1,8 +1,8 @@
import { Execution, ExecutionPreview, ExecutionRecommendation, ExecutionFilterOptions, FilteredExecutionResponse } from '../types/n8n-api';
import { Execution, ExecutionPreview, ExecutionRecommendation, ExecutionFilterOptions, FilteredExecutionResponse, Workflow } from '../types/n8n-api';
export declare function generatePreview(execution: Execution): {
preview: ExecutionPreview;
recommendation: ExecutionRecommendation;
};
export declare function filterExecutionData(execution: Execution, options: ExecutionFilterOptions): FilteredExecutionResponse;
export declare function processExecution(execution: Execution, options?: ExecutionFilterOptions): FilteredExecutionResponse | Execution;
export declare function filterExecutionData(execution: Execution, options: ExecutionFilterOptions, workflow?: Workflow): FilteredExecutionResponse;
export declare function processExecution(execution: Execution, options?: ExecutionFilterOptions, workflow?: Workflow): FilteredExecutionResponse | Execution;
//# sourceMappingURL=execution-processor.d.ts.map

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@@ -1 +1 @@
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@@ -4,6 +4,7 @@ exports.generatePreview = generatePreview;
exports.filterExecutionData = filterExecutionData;
exports.processExecution = processExecution;
const logger_1 = require("../utils/logger");
const error_execution_processor_1 = require("./error-execution-processor");
const THRESHOLDS = {
CHAR_SIZE_BYTES: 2,
OVERHEAD_PER_OBJECT: 50,
@@ -231,7 +232,7 @@ function truncateItems(items, limit) {
},
};
}
function filterExecutionData(execution, options) {
function filterExecutionData(execution, options, workflow) {
const mode = options.mode || 'summary';
let itemsLimit = options.itemsLimit !== undefined ? options.itemsLimit : 2;
if (itemsLimit !== -1) {
@@ -265,6 +266,27 @@ function filterExecutionData(execution, options) {
response.recommendation = recommendation;
return response;
}
if (mode === 'error') {
const errorAnalysis = (0, error_execution_processor_1.processErrorExecution)(execution, {
itemsLimit: options.errorItemsLimit ?? 2,
includeStackTrace: options.includeStackTrace ?? false,
includeExecutionPath: options.includeExecutionPath !== false,
workflow
});
const runData = execution.data?.resultData?.runData || {};
const executedNodes = Object.keys(runData).length;
response.errorInfo = errorAnalysis;
response.summary = {
totalNodes: executedNodes,
executedNodes,
totalItems: 0,
hasMoreData: false
};
if (execution.data?.resultData?.error) {
response.error = execution.data.resultData.error;
}
return response;
}
if (!execution.data?.resultData?.runData) {
response.summary = {
totalNodes: 0,
@@ -350,10 +372,10 @@ function filterExecutionData(execution, options) {
}
return response;
}
function processExecution(execution, options = {}) {
function processExecution(execution, options = {}, workflow) {
if (!options.mode && !options.nodeNames && options.itemsLimit === undefined) {
return execution;
}
return filterExecutionData(execution, options);
return filterExecutionData(execution, options, workflow);
}
//# sourceMappingURL=execution-processor.js.map

File diff suppressed because one or more lines are too long

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@@ -1 +1 @@
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@@ -152,17 +152,23 @@ function validateWorkflowStructure(workflow) {
}
else if (connectionCount > 0 || executableNodes.length > 1) {
const connectedNodes = new Set();
const ALL_CONNECTION_TYPES = ['main', 'error', 'ai_tool', 'ai_languageModel', 'ai_memory', 'ai_embedding', 'ai_vectorStore'];
Object.entries(workflow.connections).forEach(([sourceName, connection]) => {
connectedNodes.add(sourceName);
if (connection.main && Array.isArray(connection.main)) {
connection.main.forEach((outputs) => {
if (Array.isArray(outputs)) {
outputs.forEach((target) => {
connectedNodes.add(target.node);
});
}
});
}
ALL_CONNECTION_TYPES.forEach(connType => {
const connData = connection[connType];
if (connData && Array.isArray(connData)) {
connData.forEach((outputs) => {
if (Array.isArray(outputs)) {
outputs.forEach((target) => {
if (target?.node) {
connectedNodes.add(target.node);
}
});
}
});
}
});
});
const disconnectedNodes = workflow.nodes.filter(node => {
if ((0, node_classification_1.isNonExecutableNode)(node.type)) {
@@ -171,7 +177,9 @@ function validateWorkflowStructure(workflow) {
const isConnected = connectedNodes.has(node.name);
const isNodeTrigger = (0, node_type_utils_1.isTriggerNode)(node.type);
if (isNodeTrigger) {
return !workflow.connections?.[node.name];
const hasOutgoingConnections = !!workflow.connections?.[node.name];
const hasInboundConnections = isConnected;
return !hasOutgoingConnections && !hasInboundConnections;
}
return !isConnected;
});

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@@ -267,7 +267,7 @@ export interface McpToolResponse {
executionId?: string;
workflowId?: string;
}
export type ExecutionMode = 'preview' | 'summary' | 'filtered' | 'full';
export type ExecutionMode = 'preview' | 'summary' | 'filtered' | 'full' | 'error';
export interface ExecutionPreview {
totalNodes: number;
executedNodes: number;
@@ -296,6 +296,9 @@ export interface ExecutionFilterOptions {
itemsLimit?: number;
includeInputData?: boolean;
fieldsToInclude?: string[];
errorItemsLimit?: number;
includeStackTrace?: boolean;
includeExecutionPath?: boolean;
}
export interface FilteredExecutionResponse {
id: string;
@@ -316,6 +319,7 @@ export interface FilteredExecutionResponse {
};
nodes?: Record<string, FilteredNodeData>;
error?: Record<string, unknown>;
errorInfo?: ErrorAnalysis;
}
export interface FilteredNodeData {
executionTime?: number;
@@ -333,4 +337,39 @@ export interface FilteredNodeData {
};
};
}
export interface ErrorAnalysis {
primaryError: {
message: string;
errorType: string;
nodeName: string;
nodeType: string;
nodeId?: string;
nodeParameters?: Record<string, unknown>;
stackTrace?: string;
};
upstreamContext?: {
nodeName: string;
nodeType: string;
itemCount: number;
sampleItems: unknown[];
dataStructure: Record<string, unknown>;
};
executionPath?: Array<{
nodeName: string;
status: 'success' | 'error' | 'skipped';
itemCount: number;
executionTime?: number;
}>;
additionalErrors?: Array<{
nodeName: string;
message: string;
}>;
suggestions?: ErrorSuggestion[];
}
export interface ErrorSuggestion {
type: 'fix' | 'investigate' | 'workaround';
title: string;
description: string;
confidence: 'high' | 'medium' | 'low';
}
//# sourceMappingURL=n8n-api.d.ts.map

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598
package-lock.json generated

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@@ -1,6 +1,6 @@
{
"name": "n8n-mcp",
"version": "2.31.0",
"version": "2.31.3",
"description": "Integration between n8n workflow automation and Model Context Protocol (MCP)",
"main": "dist/index.js",
"types": "dist/index.d.ts",
@@ -141,16 +141,16 @@
},
"dependencies": {
"@modelcontextprotocol/sdk": "1.20.1",
"@n8n/n8n-nodes-langchain": "^2.0.1",
"@n8n/n8n-nodes-langchain": "^2.1.3",
"@supabase/supabase-js": "^2.57.4",
"dotenv": "^16.5.0",
"express": "^5.1.0",
"express-rate-limit": "^7.1.5",
"form-data": "^4.0.5",
"lru-cache": "^11.2.1",
"n8n": "^2.0.2",
"n8n-core": "^2.0.1",
"n8n-workflow": "^2.0.1",
"n8n": "^2.1.4",
"n8n-core": "^2.1.3",
"n8n-workflow": "^2.1.1",
"openai": "^4.77.0",
"sql.js": "^1.13.0",
"tslib": "^2.6.2",

View File

@@ -42,7 +42,7 @@ export const getTemplateDoc: ToolDocumentation = {
- url: Link to template on n8n.io
- workflow: Complete workflow JSON with structure:
- nodes: Array of node objects (id, name, type, typeVersion, position, parameters)
- connections: Object mapping source nodes to targets
- connections: Object mapping source node names to targets
- settings: Workflow configuration (timezone, error handling, etc.)
- usage: Instructions for using the workflow`,
examples: [

View File

@@ -20,7 +20,7 @@ export const n8nCreateWorkflowDoc: ToolDocumentation = {
parameters: {
name: { type: 'string', required: true, description: 'Workflow name' },
nodes: { type: 'array', required: true, description: 'Array of nodes with id, name, type, typeVersion, position, parameters' },
connections: { type: 'object', required: true, description: 'Node connections. Keys are source node IDs' },
connections: { type: 'object', required: true, description: 'Node connections. Keys are source node names (not IDs)' },
settings: { type: 'object', description: 'Optional workflow settings (timezone, error handling, etc.)' }
},
returns: 'Minimal summary (id, name, active, nodeCount) for token efficiency. Use n8n_get_workflow with mode "structure" to verify current state if needed.',
@@ -55,8 +55,8 @@ n8n_create_workflow({
}
],
connections: {
"webhook_1": {
"main": [[{node: "slack_1", type: "main", index: 0}]]
"Webhook": {
"main": [[{node: "Slack", type: "main", index: 0}]]
}
}
})`,

View File

@@ -46,9 +46,9 @@ export const n8nManagementTools: ToolDefinition[] = [
}
}
},
connections: {
type: 'object',
description: 'Workflow connections object. Keys are source node IDs, values define output connections'
connections: {
type: 'object',
description: 'Workflow connections object. Keys are source node names (the name field, not id), values define output connections'
},
settings: {
type: 'object',

View File

@@ -248,23 +248,32 @@ export function validateWorkflowStructure(workflow: Partial<Workflow>): string[]
const connectedNodes = new Set<string>();
// Collect all nodes that appear in connections (as source or target)
// Check ALL connection types, not just 'main' - AI workflows use ai_tool, ai_languageModel, etc.
const ALL_CONNECTION_TYPES = ['main', 'error', 'ai_tool', 'ai_languageModel', 'ai_memory', 'ai_embedding', 'ai_vectorStore'] as const;
Object.entries(workflow.connections).forEach(([sourceName, connection]) => {
connectedNodes.add(sourceName); // Node has outgoing connection
if (connection.main && Array.isArray(connection.main)) {
connection.main.forEach((outputs) => {
if (Array.isArray(outputs)) {
outputs.forEach((target) => {
connectedNodes.add(target.node); // Node has incoming connection
});
}
});
}
// Check all connection types for target nodes
ALL_CONNECTION_TYPES.forEach(connType => {
const connData = (connection as Record<string, unknown>)[connType];
if (connData && Array.isArray(connData)) {
connData.forEach((outputs) => {
if (Array.isArray(outputs)) {
outputs.forEach((target: { node: string }) => {
if (target?.node) {
connectedNodes.add(target.node); // Node has incoming connection
}
});
}
});
}
});
});
// Find disconnected nodes (excluding non-executable nodes and triggers)
// Non-executable nodes (sticky notes) are UI-only and don't need connections
// Trigger nodes only need outgoing connections
// Trigger nodes need either outgoing connections OR inbound AI connections (for mcpTrigger)
const disconnectedNodes = workflow.nodes.filter(node => {
// Skip non-executable nodes (sticky notes, etc.) - they're UI-only annotations
if (isNonExecutableNode(node.type)) {
@@ -274,9 +283,12 @@ export function validateWorkflowStructure(workflow: Partial<Workflow>): string[]
const isConnected = connectedNodes.has(node.name);
const isNodeTrigger = isTriggerNode(node.type);
// Trigger nodes only need outgoing connections
// Trigger nodes need outgoing connections OR inbound connections (for mcpTrigger)
// mcpTrigger is special: it has "trigger" in its name but only receives inbound ai_tool connections
if (isNodeTrigger) {
return !workflow.connections?.[node.name]; // Disconnected if no outgoing connections
const hasOutgoingConnections = !!workflow.connections?.[node.name];
const hasInboundConnections = isConnected;
return !hasOutgoingConnections && !hasInboundConnections; // Disconnected if NEITHER
}
// Regular nodes need at least one connection (incoming or outgoing)

View File

@@ -884,6 +884,260 @@ describe('n8n-validation', () => {
const errors = validateWorkflowStructure(workflow);
expect(errors.some(e => e.includes('Invalid connections'))).toBe(true);
});
// Issue #503: mcpTrigger nodes should not be flagged as disconnected
describe('AI connection types (Issue #503)', () => {
it('should NOT flag mcpTrigger as disconnected when it has ai_tool inbound connections', () => {
const workflow = {
name: 'MCP Server Workflow',
nodes: [
{
id: 'mcp-server',
name: 'MCP Server',
type: '@n8n/n8n-nodes-langchain.mcpTrigger',
typeVersion: 1,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'tool-1',
name: 'Get Weather Tool',
type: '@n8n/n8n-nodes-langchain.toolWorkflow',
typeVersion: 1.3,
position: [300, 200] as [number, number],
parameters: {},
},
{
id: 'tool-2',
name: 'Search Tool',
type: '@n8n/n8n-nodes-langchain.toolWorkflow',
typeVersion: 1.3,
position: [300, 400] as [number, number],
parameters: {},
},
],
connections: {
'Get Weather Tool': {
ai_tool: [[{ node: 'MCP Server', type: 'ai_tool', index: 0 }]],
},
'Search Tool': {
ai_tool: [[{ node: 'MCP Server', type: 'ai_tool', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should NOT flag nodes as disconnected when connected via ai_languageModel', () => {
const workflow = {
name: 'AI Agent Workflow',
nodes: [
{
id: 'agent-1',
name: 'AI Agent',
type: '@n8n/n8n-nodes-langchain.agent',
typeVersion: 1.6,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'llm-1',
name: 'OpenAI Model',
type: '@n8n/n8n-nodes-langchain.lmChatOpenAi',
typeVersion: 1,
position: [300, 300] as [number, number],
parameters: {},
},
],
connections: {
'OpenAI Model': {
ai_languageModel: [[{ node: 'AI Agent', type: 'ai_languageModel', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should NOT flag nodes as disconnected when connected via ai_memory', () => {
const workflow = {
name: 'AI Memory Workflow',
nodes: [
{
id: 'agent-1',
name: 'AI Agent',
type: '@n8n/n8n-nodes-langchain.agent',
typeVersion: 1.6,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'memory-1',
name: 'Buffer Memory',
type: '@n8n/n8n-nodes-langchain.memoryBufferWindow',
typeVersion: 1,
position: [300, 400] as [number, number],
parameters: {},
},
],
connections: {
'Buffer Memory': {
ai_memory: [[{ node: 'AI Agent', type: 'ai_memory', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should NOT flag nodes as disconnected when connected via ai_embedding', () => {
const workflow = {
name: 'Vector Store Workflow',
nodes: [
{
id: 'vs-1',
name: 'Vector Store',
type: '@n8n/n8n-nodes-langchain.vectorStorePinecone',
typeVersion: 1,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'embed-1',
name: 'OpenAI Embeddings',
type: '@n8n/n8n-nodes-langchain.embeddingsOpenAi',
typeVersion: 1,
position: [300, 300] as [number, number],
parameters: {},
},
],
connections: {
'OpenAI Embeddings': {
ai_embedding: [[{ node: 'Vector Store', type: 'ai_embedding', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should NOT flag nodes as disconnected when connected via ai_vectorStore', () => {
const workflow = {
name: 'Retriever Workflow',
nodes: [
{
id: 'retriever-1',
name: 'Vector Store Retriever',
type: '@n8n/n8n-nodes-langchain.retrieverVectorStore',
typeVersion: 1,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'vs-1',
name: 'Pinecone Store',
type: '@n8n/n8n-nodes-langchain.vectorStorePinecone',
typeVersion: 1,
position: [300, 300] as [number, number],
parameters: {},
},
],
connections: {
'Pinecone Store': {
ai_vectorStore: [[{ node: 'Vector Store Retriever', type: 'ai_vectorStore', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should NOT flag nodes as disconnected when connected via error output', () => {
const workflow = {
name: 'Error Handling Workflow',
nodes: [
{
id: 'http-1',
name: 'HTTP Request',
type: 'n8n-nodes-base.httpRequest',
typeVersion: 4.2,
position: [300, 300] as [number, number],
parameters: {},
},
{
id: 'set-1',
name: 'Handle Error',
type: 'n8n-nodes-base.set',
typeVersion: 3.4,
position: [500, 400] as [number, number],
parameters: {},
},
],
connections: {
'HTTP Request': {
error: [[{ node: 'Handle Error', type: 'error', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors).toHaveLength(0);
});
it('should still flag truly disconnected nodes in AI workflows', () => {
const workflow = {
name: 'AI Workflow with Disconnected Node',
nodes: [
{
id: 'agent-1',
name: 'AI Agent',
type: '@n8n/n8n-nodes-langchain.agent',
typeVersion: 1.6,
position: [500, 300] as [number, number],
parameters: {},
},
{
id: 'llm-1',
name: 'OpenAI Model',
type: '@n8n/n8n-nodes-langchain.lmChatOpenAi',
typeVersion: 1,
position: [300, 300] as [number, number],
parameters: {},
},
{
id: 'disconnected-1',
name: 'Disconnected Set',
type: 'n8n-nodes-base.set',
typeVersion: 3.4,
position: [700, 300] as [number, number],
parameters: {},
},
],
connections: {
'OpenAI Model': {
ai_languageModel: [[{ node: 'AI Agent', type: 'ai_languageModel', index: 0 }]],
},
},
};
const errors = validateWorkflowStructure(workflow);
const disconnectedErrors = errors.filter(e => e.includes('Disconnected'));
expect(disconnectedErrors.length).toBeGreaterThan(0);
expect(disconnectedErrors[0]).toContain('Disconnected Set');
});
});
});
describe('hasWebhookTrigger', () => {