hackerdogs/pinecone-mcp repository overview

⁠

⁠Pinecone MCP Server

MCP server wrapper for Pinecone⁠ — managed vector database for semantic search, RAG, and AI application development.

⁠What is Pinecone?

Pinecone is a fully managed vector database optimized for storing and querying high-dimensional embeddings at scale. This MCP server (the official @pinecone-database/mcp package) lets AI assistants create and manage indexes, upsert vectors with metadata, run similarity queries, and build Retrieval-Augmented Generation (RAG) pipelines without leaving the conversation. See pinecone-io/pinecone-mcp⁠ for full documentation.

API key required — find yours at app.pinecone.io⁠.

Summary. Pinecone MCP Server — Dockerized from upstream @pinecone-database/mcp package.

⁠Tools Reference

⁠Example Prompts

Here are example prompts you can use with Claude (or any MCP client) when this tool is connected:

• "List all my Pinecone indexes and their dimensions and metric types."
• "Create a new Pinecone index called 'docs' with 1536 dimensions and cosine metric."
• "Upsert these 5 text embeddings into the 'knowledge-base' index with source metadata."
• "Query the 'products' index for the 10 most similar vectors to this embedding and return their metadata."
• "Delete all vectors with the tag 'draft' from the 'articles' Pinecone index."
• "Describe the stats for my 'support-tickets' index — how many vectors are stored and what namespaces exist?"

⁠Deploy

⁠Docker Compose (recommended)

docker-compose up -d

⁠Docker Run (stdio mode)

docker run -i --rm \
  -e PINECONE_API_KEY \
  hackerdogs/pinecone-mcp:latest

⁠Docker Run (HTTP streamable mode)

docker run -d -p 8657:8657 \
  -e MCP_TRANSPORT=streamable-http \
  -e MCP_PORT=8657 \
  -e PINECONE_API_KEY \
  hackerdogs/pinecone-mcp:latest

⁠MCP Client Configuration

⁠Stdio mode (default)

Add to your Claude Desktop or Cursor MCP config:

{
  "mcpServers": {
    "pinecone-mcp": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "MCP_TRANSPORT",
        "-e",
        "PINECONE_API_KEY",
        "hackerdogs/pinecone-mcp:latest"
      ],
      "env": {
        "MCP_TRANSPORT": "stdio",
        "PINECONE_API_KEY": ""
      }
    }
  }
}

⁠HTTP mode (streamable-http)

First, start the server using Docker Compose or docker run with HTTP mode (see Deploy⁠ above), then point your MCP client at the running server:

{
  "mcpServers": {
    "pinecone-mcp": {
      "url": "http://localhost:8657/mcp"
    }
  }
}

⁠Environment Variables

⁠Installing in Hackerdogs

The fastest way to get started is through Hackerdogs⁠:

1. Log in to your Hackerdogs account.
2. Go to the Tools Catalog.
3. Search for the tool by name.
4. Expand the tool card and click Install — you're ready to go.

1. Vendor API key required? Add your key in the config environment variable field before clicking Install. Your key will be encrypted at rest.
2. Enable / Disable the tool anytime from the Enabled Tools page.
3. Need to update a key or parameter? Go to My Tools → toggle Show Decrypted Values → edit → Save.

⁠Build

docker build -t hackerdogs/pinecone-mcp:latest .

⁠Testing

⁠Automated tests

./test.sh

⁠Test directly with Docker

1. Start the server in HTTP mode:

docker run -d --rm --name pinecone-mcp-test -p 8657:8657 \
  -e MCP_TRANSPORT=streamable-http \
  -e PINECONE_API_KEY \
  hackerdogs/pinecone-mcp:latest

2. Initialize the MCP session:

SESSION_ID=$(curl -s -D - -X POST http://localhost:8657/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -d '{"jsonrpc":"2.0","id":1,"method":"initialize","params":{"protocolVersion":"2024-11-05","capabilities":{},"clientInfo":{"name":"test","version":"0.1"}}}' \
  2>&1 | grep -i mcp-session-id | awk '{print $2}' | tr -d '\r\n')

curl -s -X POST http://localhost:8657/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: $SESSION_ID" \
  -d '{"jsonrpc":"2.0","method":"notifications/initialized"}'

3. List available tools:

curl -s -X POST http://localhost:8657/mcp \
  -H "Content-Type: application/json" \
  -H "Accept: application/json, text/event-stream" \
  -H "mcp-session-id: $SESSION_ID" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list","params":{}}'

4. Clean up:

docker stop pinecone-mcp-test