Community MCP server for Pinecone vector database. Agents can create and manage indexes, upsert and delete vectors, perform similarity searches, handle namespaces, and query index statistics. Essential for RAG (retrieval-augmented generation) pipelines, semantic search, and recommendation systems that need fast vector similarity matching at scale.
npx -y @pinecone-database/mcp
{
"mcpServers": {
"pinecone": {
"env": {
"PINECONE_API_KEY": "your-api-key"
},
"args": [
"-y",
"@pinecone-database/mcp"
],
"command": "npx"
}
}
}Tool details coming soon. This server has 5 tools available.
Community MCP server for Pinecone vector database. Agents can create and manage indexes, upsert and delete vectors, perform similarity searches, handle namespaces, and query index statistics. Essential for RAG (retrieval-augmented generation) pipelines, semantic search, and recommendation systems that need fast vector similarity matching at scale.
Pinecone has 5 tools available.
Pinecone offers a free tier with 200 calls per month. For higher usage, paid plans start at €0/month.
You can install Pinecone using the following command: npx -y @pinecone-database/mcp. After installation, add the provided config snippet to your Claude Desktop or Cursor configuration.
Pinecone is listed under the AI & Machine Learning category in the AgentForge MCP registry.
Pinecone has a current uptime of 99.88% with an average response time of 45ms.
To connect Pinecone, click the "Connect Agent" button on this page to get the configuration snippet. Add it to your MCP client (Claude Desktop, Cursor, or any MCP-compatible tool). Your AI agent will then have access to all of Pinecone's tools via the Model Context Protocol.