MCP Pinecone server enables AI agents to read and write data to Pinecone vector database. It provides tools for vector search and retrieval-augmented generation (RAG) tasks. The server connects directly to Pinecone's API. Developers use it to integrate Pinecone's vector search capabilities into their AI applications.
MCP Pinecone server enables AI agents to read and write data to Pinecone vector database. It provides tools for vector search and retrieval-augmented generation (RAG) tasks. The server connects directly to Pinecone's API. Developers use it to integrate Pinecone's vector search capabilities into their AI applications.
pip install mcp-pineconeAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"sirmews-mcp-pinecone-github": {
"command": "uvx",
"args": [
"pip install mcp-pinecone"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from mcp pinecone?"
API Key Required
This server requires an API key from mcp pinecone. Add it to your environment or config.
| Variable | Required | Description |
|---|---|---|
| MCP_PINECONE_API_KEY | Yes | Your mcp pinecone API key |
"What resources are available in mcp pinecone?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in mcp pinecone"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in mcp pinecone with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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