feat: fix context7 mcp tool calling mode

- todo, upgrade to ai sdk v6 (openrouter not upgraded to ai sdk v6 yet, waiting on that)

package.json

@@ -58,30 +58,31 @@
 	"author": "Eyal Toledano",
 	"license": "MIT WITH Commons-Clause",
 	"dependencies": {
-		"@ai-sdk/amazon-bedrock": "^3.0.23",
+		"@ai-sdk/amazon-bedrock": "^4.0.9",
-		"@ai-sdk/anthropic": "^2.0.18",
+		"@ai-sdk/anthropic": "^3.0.7",
-		"@ai-sdk/azure": "^2.0.89",
+		"@ai-sdk/azure": "^3.0.5",
-		"@ai-sdk/google": "^2.0.16",
+		"@ai-sdk/google": "^3.0.4",
-		"@ai-sdk/google-vertex": "^3.0.86",
+		"@ai-sdk/google-vertex": "^4.0.7",
-		"@ai-sdk/groq": "^2.0.21",
+		"@ai-sdk/groq": "^3.0.4",
-		"@ai-sdk/mistral": "^2.0.16",
+		"@ai-sdk/mcp": "^1.0.5",
-		"@ai-sdk/openai": "^2.0.34",
+		"@ai-sdk/mistral": "^3.0.5",
-		"@ai-sdk/openai-compatible": "^1.0.25",
+		"@ai-sdk/openai": "^3.0.5",
-		"@ai-sdk/perplexity": "^2.0.10",
+		"@ai-sdk/openai-compatible": "^2.0.4",
-		"@ai-sdk/provider": "^2.0.0",
+		"@ai-sdk/perplexity": "^3.0.4",
-		"@ai-sdk/provider-utils": "^3.0.10",
+		"@ai-sdk/provider": "^3.0.2",
-		"@ai-sdk/xai": "^2.0.22",
+		"@ai-sdk/provider-utils": "^4.0.4",
-		"@aws-sdk/credential-providers": "^3.895.0",
+		"@ai-sdk/xai": "^3.0.10",
-		"@inquirer/search": "^3.0.15",
+		"@aws-sdk/credential-providers": "^3.962.0",
-		"@openrouter/ai-sdk-provider": "^1.2.0",
+		"@inquirer/search": "^3.2.2",
-		"@sentry/node": "^10.27.0",
+		"@openrouter/ai-sdk-provider": "^1.5.4",
+		"@sentry/node": "^10.32.1",
 		"@streamparser/json": "^0.0.22",
 		"@supabase/supabase-js": "^2.57.4",
 		"@types/turndown": "^5.0.6",
-		"ai": "^5.0.51",
+		"ai": "^6.0.13",
-		"ai-sdk-provider-claude-code": "^2.2.4",
+		"ai-sdk-provider-claude-code": "^3.1.0",
-		"ai-sdk-provider-codex-cli": "^0.7.0",
+		"ai-sdk-provider-codex-cli": "^1.0.4",
-		"ai-sdk-provider-gemini-cli": "^1.4.0",
+		"ai-sdk-provider-gemini-cli": "^2.0.1",
 		"ajv": "^8.17.1",
 		"ajv-formats": "^3.0.1",
 		"boxen": "^8.0.1",

packages/ai-sdk-provider-grok-cli/package.json

@@ -15,14 +15,14 @@
 		"typecheck": "tsc --noEmit"
 	},
 	"dependencies": {
-		"@ai-sdk/provider": "^2.0.0",
+		"@ai-sdk/provider": "^3.0.2",
-		"@ai-sdk/provider-utils": "^3.0.10",
+		"@ai-sdk/provider-utils": "^4.0.4",
 		"jsonc-parser": "^3.3.1"
 	},
 	"devDependencies": {
 		"@types/node": "^22.18.6",
-		"typescript": "^5.9.2",
+		"typescript": "^5.9.3",
-		"vitest": "^4.0.10"
+		"vitest": "^4.0.16"
 	},
 	"engines": {
 		"node": ">=20"

packages/ai-sdk-provider-grok-cli/src/grok-cli-provider.test.ts

@@ -26,7 +26,7 @@ describe('createGrokCli', () => {
 		expect(typeof provider).toBe('function');
 		expect(typeof provider.languageModel).toBe('function');
 		expect(typeof provider.chat).toBe('function');
-		expect(typeof provider.textEmbeddingModel).toBe('function');
+		expect(typeof provider.embeddingModel).toBe('function');
 		expect(typeof provider.imageModel).toBe('function');
 	});
 
@@ -91,7 +91,7 @@ describe('createGrokCli', () => {
 	it('should throw NoSuchModelError for textEmbeddingModel', () => {
 		const provider = createGrokCli();
 		expect(() => {
-			provider.textEmbeddingModel('test-model');
+			provider.embeddingModel('test-model');
 		}).toThrow(NoSuchModelError);
 	});
 

packages/ai-sdk-provider-grok-cli/src/grok-cli-provider.ts

@@ -84,7 +84,7 @@ export function createGrokCli(
 	provider.chat = createModel; // Alias for languageModel
 
 	// Add textEmbeddingModel method that throws NoSuchModelError
-	provider.textEmbeddingModel = (modelId: string) => {
+	provider.embeddingModel = (modelId: string) => {
 		throw new NoSuchModelError({
 			modelId,
 			modelType: 'textEmbeddingModel'

packages/ai-sdk-tools/src/context7/client.ts

@@ -60,6 +60,8 @@ export async function createContext7Tools(
 ): Promise<Context7ToolsResult> {
 	const apiKey = getApiKey(options?.config);
 
+	console.log('[Context7] Initializing MCP client...');
+
 	const transport = new Experimental_StdioMCPTransport({
 		command: 'npx',
 		args: ['-y', '@upstash/context7-mcp', '--api-key', apiKey]
@@ -69,14 +71,23 @@ export async function createContext7Tools(
 		transport
 	});
 
+	console.log('[Context7] MCP client connected successfully');
+
 	options?.onReady?.();
 
 	const tools = await client.tools();
+	const toolNames = Object.keys(tools);
+
+	console.log(
+		`[Context7] Tools available: ${toolNames.length > 0 ? toolNames.join(', ') : 'none'}`
+	);
 
 	return {
 		tools,
 		close: async () => {
+			console.log('[Context7] Closing MCP client connection...');
 			await client.close();
+			console.log('[Context7] MCP client disconnected');
 		}
 	};
 }
@@ -87,6 +98,7 @@ export async function createContext7Tools(
 export function isContext7Available(config?: Context7Config): boolean {
 	try {
 		getApiKey(config);
+		console.log('[Context7] API key detected - Context7 tools will be enabled');
 		return true;
 	} catch {
 		return false;

scripts/modules/ai-services-unified.js

@@ -6,6 +6,9 @@
 // Vercel AI SDK functions are NOT called directly anymore.
 // import { generateText, streamText, generateObject } from 'ai';
 
+// --- MCP Tools Integration ---
+import { createMCPTools, isContext7Available } from '@tm/ai-tools';
+
 // --- Core Dependencies ---
 import {
 	MODEL_MAP,
@@ -59,6 +62,84 @@ import {
 // Import the provider registry
 import ProviderRegistry from '../../src/provider-registry/index.js';
 
+// --- MCP Tools Cache ---
+let _mcpToolsCache = null;
+let _mcpToolsPromise = null;
+
+/**
+ * Get or create MCP tools (singleton pattern for connection reuse)
+ * @returns {Promise<{tools: Record<string, unknown>, close: () => Promise<void>, enabledSources: string[]}>}
+ */
+async function _getMCPTools() {
+	// Return cached tools if available
+	if (_mcpToolsCache) {
+		return _mcpToolsCache;
+	}
+
+	// Return existing promise if tools are being created
+	if (_mcpToolsPromise) {
+		return _mcpToolsPromise;
+	}
+
+	// Check if any MCP tools are available
+	if (!isContext7Available()) {
+		return { tools: {}, close: async () => {}, enabledSources: [] };
+	}
+
+	// Create tools (this spawns MCP server subprocess)
+	_mcpToolsPromise = createMCPTools()
+		.then((result) => {
+			_mcpToolsCache = result;
+			_mcpToolsPromise = null;
+
+			if (result.enabledSources.length > 0) {
+				log('info', `MCP tools enabled: ${result.enabledSources.join(', ')}`);
+			}
+
+			return result;
+		})
+		.catch((error) => {
+			_mcpToolsPromise = null;
+			log('warn', `Failed to initialize MCP tools: ${error.message}`);
+			return { tools: {}, close: async () => {}, enabledSources: [] };
+		});
+
+	return _mcpToolsPromise;
+}
+
+/**
+ * Close MCP tools connections (call on process exit)
+ */
+async function closeMCPTools() {
+	if (_mcpToolsCache) {
+		try {
+			await _mcpToolsCache.close();
+			log('debug', 'MCP tools connections closed');
+		} catch (error) {
+			log('warn', `Error closing MCP tools: ${error.message}`);
+		}
+		_mcpToolsCache = null;
+	}
+}
+
+// Register cleanup on process exit
+process.on('exit', () => {
+	if (_mcpToolsCache) {
+		// Synchronous cleanup attempt - close() is async so may not complete
+		_mcpToolsCache.close().catch(() => {});
+	}
+});
+
+process.on('SIGINT', async () => {
+	await closeMCPTools();
+	process.exit(0);
+});
+
+process.on('SIGTERM', async () => {
+	await closeMCPTools();
+	process.exit(0);
+});
+
 // Create provider instances
 const PROVIDERS = {
 	anthropic: new AnthropicAIProvider(),
@@ -544,6 +625,17 @@ async function _unifiedServiceRunner(serviceType, params) {
 	let lastCleanErrorMessage =
 		'AI service call failed for all configured roles.';
 
+	// Get MCP tools (cached singleton - won't recreate on each call)
+	const mcpTools = await _getMCPTools();
+	const hasTools = Object.keys(mcpTools.tools).length > 0;
+
+	if (hasTools && getDebugFlag()) {
+		log(
+			'debug',
+			`MCP tools available for AI call: ${mcpTools.enabledSources.join(', ')}`
+		);
+	}
+
 	for (const currentRole of sequence) {
 		let providerName;
 		let modelId;
@@ -676,6 +768,7 @@ async function _unifiedServiceRunner(serviceType, params) {
 				...(baseURL && { baseURL }),
 				...((serviceType === 'generateObject' ||
 					serviceType === 'streamObject') && { schema, objectName }),
+				...(hasTools && { tools: mcpTools.tools }),
 				...(commandName && { commandName }), // Pass commandName for Sentry telemetry functionId
 				...(outputType && { outputType }), // Pass outputType for Sentry telemetry metadata
 				...(projectRoot && { projectRoot }), // Pass projectRoot for Sentry telemetry hashing
@@ -951,5 +1044,6 @@ export {
 	streamTextService,
 	streamObjectService,
 	generateObjectService,
-	logAiUsage
+	logAiUsage,
+	closeMCPTools
 };

scripts/modules/config-manager.js

@@ -1048,24 +1048,8 @@ function getAvailableModels() {
 					const sweScore = modelObj.swe_score;
 					const cost = modelObj.cost_per_1m_tokens;
 					const allowedRoles = modelObj.allowed_roles || ['main', 'fallback'];
-
+					// Use explicit name from model definition, otherwise use ID as-is
-					// Use name from JSON if available, otherwise generate from ID
+					const name = modelObj.name || modelId;
-					let name = modelObj.name;
-					if (!name) {
-						const nameParts = modelId
-							.split('-')
-							.map((p) => p.charAt(0).toUpperCase() + p.slice(1));
-						name = nameParts.join(' ');
-						// Handle specific known names better if needed
-						if (modelId === 'claude-3.5-sonnet-20240620')
-							name = 'Claude 3.5 Sonnet';
-						if (modelId === 'claude-3-7-sonnet-20250219')
-							name = 'Claude 3.7 Sonnet';
-						if (modelId === 'gpt-4o') name = 'GPT-4o';
-						if (modelId === 'gpt-4-turbo') name = 'GPT-4 Turbo';
-						if (modelId === 'sonar-pro') name = 'Perplexity Sonar Pro';
-						if (modelId === 'sonar-mini') name = 'Perplexity Sonar Mini';
-					}
 
 					available.push({
 						id: modelId,

src/ai-providers/base-provider.js

@@ -1,3 +1,4 @@
+// todo: migrate to new ai sdk v6 correctly, use streamText and generateText instead of streamObject and generateObject with the right parameters
 import {
 	JSONParseError,
 	NoObjectGeneratedError,
@@ -196,6 +197,7 @@ export class BaseAIProvider {
 
 	/**
 	 * Generates text using the provider's model
+	 * Supports tools parameter for MCP tool integration
 	 */
 	async generateText(params) {
 		try {
@@ -233,6 +235,7 @@ export class BaseAIProvider {
 				...(this.supportsTemperature && params.temperature !== undefined
 					? { temperature: params.temperature }
 					: {}),
+				...(params.tools ? { tools: params.tools } : {}),
 				...(telemetryConfig && { experimental_telemetry: telemetryConfig })
 			});
 
@@ -263,6 +266,7 @@ export class BaseAIProvider {
 
 	/**
 	 * Streams text using the provider's model
+	 * Supports tools parameter for MCP tool integration
 	 */
 	async streamText(params) {
 		try {
@@ -297,6 +301,7 @@ export class BaseAIProvider {
 				...(this.supportsTemperature && params.temperature !== undefined
 					? { temperature: params.temperature }
 					: {}),
+				...(params.tools ? { tools: params.tools } : {}),
 				...(telemetryConfig && { experimental_telemetry: telemetryConfig }),
 				...(params.experimental_transform && {
 					experimental_transform: params.experimental_transform
@@ -316,6 +321,7 @@ export class BaseAIProvider {
 
 	/**
 	 * Streams a structured object using the provider's model
+	 * Note: AI SDK v5 streamObject doesn't support tools - use streamText for tool support
 	 */
 	async streamObject(params) {
 		try {
@@ -350,6 +356,7 @@ export class BaseAIProvider {
 
 			const telemetryConfig = getAITelemetryConfig(functionId, metadata);
 
+			// AI SDK v5: Use streamObject directly (no tool support)
 			const result = await streamObject({
 				model: client(params.modelId),
 				messages: params.messages,
@@ -368,7 +375,6 @@ export class BaseAIProvider {
 			);
 
 			// Return the stream result directly
-			// The stream result contains partialObjectStream and other properties
 			return result;
 		} catch (error) {
 			this.handleError('object streaming', error);
@@ -377,6 +383,7 @@ export class BaseAIProvider {
 
 	/**
 	 * Generates a structured object using the provider's model
+	 * Note: AI SDK v5 generateObject doesn't support tools - use generateText for tool support
 	 */
 	async generateObject(params) {
 		try {
@@ -414,6 +421,7 @@ export class BaseAIProvider {
 
 			const telemetryConfig = getAITelemetryConfig(functionId, metadata);
 
+			// AI SDK v5: Use generateObject directly (no tool support)
 			const result = await generateObject({
 				model: client(params.modelId),
 				messages: params.messages,