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Pinecone API MCP Server

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Created by: David Ashby || cfomodz

David Ashby

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Last update 5 days ago

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Complete MCP server exposing 15 Pinecone API operations to AI agents.

⚡ Quick Setup

  1. Import this workflow into your n8n instance
  2. Credentials Add Pinecone API credentials
  3. Activate the workflow to start your MCP server
  4. Copy the webhook URL from the MCP trigger node
  5. Connect AI agents using the MCP URL

🔧 How it Works

This workflow converts the Pinecone API into an MCP-compatible interface for AI agents.

MCP Trigger: Serves as your server endpoint for AI agent requests
HTTP Request Nodes: Handle API calls to https://controller.{environment}.pinecone.io
AI Expressions: Automatically populate parameters via $fromAI() placeholders
Native Integration: Returns responses directly to the AI agent

📋 Available Operations (15 total)

🔧 Collections (4 endpoints)

GET /collections: Describe Collection
POST /collections: Create collection
DELETE /collections/{collectionName}: Delete Collection
GET /collections/{collectionName}: Describe collection

🔧 Describe_Index_Stats (1 endpoints)

POST /describe_index_stats: Retrieve Index Stats

🔧 Indexes (5 endpoints)

GET /indexes: Configure Index
POST /indexes: Create index
DELETE /indexes/{indexName}: Delete Index
GET /indexes/{indexName}: Describe index
PATCH /indexes/{indexName}: Configure index

🔧 Query (1 endpoints)

POST /query: Execute Query

🔧 Vectors (4 endpoints)

POST /vectors/delete: Delete Vectors
POST /vectors/fetch: Fetch Vectors
POST /vectors/update: Update Vectors
POST /vectors/upsert: Upsert Vectors

🤖 AI Integration

Parameter Handling: AI agents automatically provide values for:
• Path parameters and identifiers
• Query parameters and filters
• Request body data
• Headers and authentication

Response Format: Native Pinecone API responses with full data structure

Error Handling: Built-in n8n HTTP request error management

💡 Usage Examples

Connect this MCP server to any AI agent or workflow:

Claude Desktop: Add MCP server URL to configuration
Cursor: Add MCP server SSE URL to configuration
Custom AI Apps: Use MCP URL as tool endpoint
API Integration: Direct HTTP calls to MCP endpoints

✨ Benefits

Zero Setup: No parameter mapping or configuration needed
AI-Ready: Built-in $fromAI() expressions for all parameters
Production Ready: Native n8n HTTP request handling and logging
Extensible: Easily modify or add custom logic

🆓 Free for community use! Ready to deploy in under 2 minutes.