* fix: deprecate USE_FIXED_HTTP for SSE streaming support (Issue #524)
The fixed HTTP implementation does not support SSE streaming required
by clients like OpenAI Codex. This commit deprecates USE_FIXED_HTTP
and makes SingleSessionHTTPServer the default.
Changes:
- Add deprecation warnings in src/mcp/index.ts and src/http-server.ts
- Remove USE_FIXED_HTTP from docker-compose.yml and Dockerfile.railway
- Update .env.example with deprecation notice
- Rename npm script to start:http:fixed:deprecated
- Update all documentation to remove USE_FIXED_HTTP references
- Mark test case as deprecated
Users should unset USE_FIXED_HTTP to use the modern SingleSessionHTTPServer
which supports both JSON-RPC and SSE streaming.
Closes#524
Concieved by Romuald Członkowski - www.aiadvisors.pl/en
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* chore: bump version to 2.31.8 and add CHANGELOG entry
- Fix comment inaccuracy: "deprecated" not "deprecated and removed"
- Bump version from 2.31.7 to 2.31.8
- Add CHANGELOG entry documenting USE_FIXED_HTTP deprecation
- Update all deprecation messages to reference v2.31.8
Concieved by Romuald Członkowski - www.aiadvisors.pl/en
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Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com>
---------
Co-authored-by: Romuald Członkowski <romualdczlonkowski@MacBook-Pro-Romuald.local>
Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
Adds zero-configuration anonymous usage statistics to track:
- Number of active users with deterministic user IDs
- Which MCP tools AI agents use most
- What workflows are built (sanitized to protect privacy)
- Common errors and issues
Key features:
- Zero-configuration design with hardcoded write-only credentials
- Privacy-first approach with comprehensive data sanitization
- Opt-out support via config file and environment variables
- Docker-friendly with environment variable support
- Multi-process safe with immediate flush strategy
- Row Level Security (RLS) policies for write-only access
Technical implementation:
- Supabase backend with anon key for INSERT-only operations
- Workflow sanitization removes all sensitive data
- Environment variables checked for opt-out (TELEMETRY_DISABLED, etc.)
- Telemetry enabled by default but respects user preferences
- Cleaned up all debug logging for production readiness
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Co-Authored-By: Claude <noreply@anthropic.com>
- Added n8n API configuration section to docker-compose.yml
- Updated .env.docker with n8n API environment variables
- Added helpful comments explaining the 16 additional management tools
- Configuration remains optional and commented out by default
This makes it easier for users to enable n8n management tools in Docker deployments.
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Co-Authored-By: Claude <noreply@anthropic.com>
Major optimization that reduces Docker image size by 87% and build time by 10x:
- Remove ALL n8n dependencies from runtime Docker image
- Add package.runtime.json with only 5 essential runtime deps
- Optimize Dockerfile to build TypeScript without n8n packages
- Add BuildKit optimizations with cache mounts
- Update documentation to highlight the improvements
Results:
- Image size: ~1.5GB → ~200MB (87% reduction)
- Build time: ~12 minutes → ~1-2 minutes
- No n8n version conflicts at runtime
- Better security with minimal attack surface
The key insight is that since we always rebuild the database locally
before deployment, the Docker runtime never needs n8n packages.
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Co-Authored-By: Claude <noreply@anthropic.com>
Major documentation cleanup and updates:
Updates:
- Add USE_FIXED_HTTP=true to all Docker and HTTP deployment examples
- Update main README with v2.3.2 release notes and version badges
- Add HTTP server troubleshooting section for stream errors
- Update CHANGELOG with v2.3.1 and v2.3.2 entries
- Update all configuration examples (.env.example, docker-compose.yml)
- Add clear instructions for using the fixed HTTP implementation
Removed legacy documentation (11 files):
- Implementation plans that have been completed
- Architecture analysis documents
- Intermediate fix documentation
- Planning documents for features now implemented
- Duplicate SETUP.md (content merged into INSTALLATION.md)
The documentation now accurately reflects the current v2.3.2 state
with the complete HTTP server fix using USE_FIXED_HTTP=true.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Rename Dockerfile.optimized to Dockerfile (now the default)
- Keep old Dockerfile as Dockerfile.old for reference
- Update GitHub Actions to use default Dockerfile
- Remove build-full job - only one image variant now
- Remove docker-compose.optimized.yml and other variants
- Update all documentation to reflect single image approach
The optimized 283MB image is now the only n8n-MCP Docker image.
This simplifies the user experience and provides the best solution
for all use cases.
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Co-Authored-By: Claude <noreply@anthropic.com>
- Change main build to use Dockerfile.optimized (targets ~200MB image)
- Add separate 'full' build job for development variant (2.6GB)
- Update tagging strategy: 'latest' for optimized, 'full' suffix for full variant
- Update documentation to reflect dual image strategy
- Update docker-compose.yml with variant selection comment
This provides users with two options:
- Optimized (default): Pre-built database, minimal size, for production
- Full: Complete n8n packages, dynamic scanning, for development
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- Remove all references to workflow execution/management features
- Delete legacy scripts for bidirectional n8n integration
- Update documentation to focus on node documentation serving only
- Remove old docker-compose files for workflow management
- Add simplified docker-compose.yml for documentation server
- Update CHANGELOG.md to reflect v2.0.0 and v2.1.0 changes
- Update Dockerfile to use v2 paths and database
The project is now clearly focused on serving n8n node documentation
to AI assistants, with no workflow execution capabilities.
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Co-Authored-By: Claude <noreply@anthropic.com>
Major features implemented:
- SQLite storage service with FTS5 for fast node search
- Database rebuild mechanism for bulk node extraction
- MCP tools: search_nodes, extract_all_nodes, get_node_statistics
- Production Docker deployment with persistent storage
- Management scripts for database operations
- Comprehensive test suite for all functionality
Database capabilities:
- Stores node source code and metadata
- Full-text search by node name or content
- No versioning (stores latest only as per requirements)
- Supports complete database rebuilds
- ~4.5MB database with 500+ nodes indexed
Production features:
- Automated deployment script
- Docker Compose production configuration
- Database initialization on first run
- Volume persistence for data
- Management utilities for operations
Documentation:
- Updated README with complete instructions
- Production deployment guide
- Clear troubleshooting section
- API reference for all new tools
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Co-Authored-By: Claude <noreply@anthropic.com>
This commit adds a complete integration between n8n workflow automation and the Model Context Protocol (MCP):
Features:
- MCP server that exposes n8n workflows as tools, resources, and prompts
- Custom n8n node for connecting to MCP servers from workflows
- Bidirectional bridge for data format conversion
- Token-based authentication and credential management
- Comprehensive error handling and logging
- Full test coverage for core components
Infrastructure:
- TypeScript/Node.js project setup with proper build configuration
- Docker support with multi-stage builds
- Development and production docker-compose configurations
- Installation script for n8n custom node deployment
Documentation:
- Detailed README with usage examples and API reference
- Environment configuration templates
- Troubleshooting guide
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Co-Authored-By: Claude <noreply@anthropic.com>
