Youtube Vision MCP

Instructions

Implementation Reference

• src/index.ts:184-249 (handler)

  The handler function for the 'list_supported_models' tool. It fetches the list of Gemini models from the REST API endpoint, filters for those supporting 'generateContent', and returns a formatted text list or an error response.
  case "list_supported_models": { try { console.error(`[INFO] Received request to list supported models.`); // Call the Gemini REST API to list models const listModelsUrl = `https://generativelanguage.googleapis.com/v1beta/models?key=${apiKey}`; const response = await fetch(listModelsUrl); if (!response.ok) { let errorDetail = await response.text(); let errorMessage = `Failed to fetch models from API (${response.status} ${response.statusText}).`; switch (response.status) { case 401: case 403: errorMessage = `Invalid API Key or permission denied for model listing.`; break; case 404: errorMessage = `Model listing API endpoint not found.`; break; case 429: errorMessage = `API quota exceeded for model listing.`; break; default: if (response.status >= 400 && response.status < 500) { errorMessage = `Invalid request to model listing API (${response.status}).`; } else if (response.status >= 500) { errorMessage = `Gemini API server error during model listing (${response.status}).`; } } throw new Error(`${errorMessage} Details: ${errorDetail}`); } const data = await response.json(); // Ensure data.models is an array before filtering const allModels: any[] = Array.isArray(data?.models) ? data.models : []; const supportedModels = allModels .filter(model => model.supportedGenerationMethods?.includes('generateContent')) .map(model => model.name); console.error(`[INFO] Found ${supportedModels.length} models supporting generateContent via REST API.`); if (supportedModels.length === 0) { return { content: [{ type: "text", text: "No models found supporting 'generateContent' via REST API." }], }; } return { content: [{ type: "text", text: `Models supporting 'generateContent' (fetched via REST API):\n- ${supportedModels.join('\n- ')}` }], }; } catch (error: any) { // Catch errors from fetch itself or the re-thrown error from response check console.error(`[ERROR] Failed during list_supported_models tool execution:`, error); let errorMessage = `Failed to list supported models.`; // Default message if (error.message) { errorMessage += ` Details: ${error.message}`; } return { content: [{ type: "text", text: errorMessage }], isError: true, }; } }
• src/index.ts:86-90 (registration)

  Tool registration within the ListToolsRequestSchema handler, defining the tool's name, description, and empty input schema.
  { name: "list_supported_models", description: "Lists available Gemini models that support the 'generateContent' method.", inputSchema: zodToJsonSchema(z.object({})), // No input needed },
• src/index.ts:89-89 (schema)

  Input schema definition for the tool: an empty object schema since no parameters are required.
  inputSchema: zodToJsonSchema(z.object({})), // No input needed