pinecone-mcp
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
Install
git clone https://github.com/pinecone-io/skills /tmp/skills && ln -s /tmp/skills/skills/pinecone-mcp ~/.claude/skills/pinecone-mcpFrom README
Pinecone MCP Tools Reference The Pinecone MCP server exposes the following tools to AI agents and IDEs. For and instructions, see the MCP server guide. Key Limitation: The Pinecone MCP only supports integrated indexes — indexes created with a built-in Pinecone embedding model. It does not work with standard indexes using external embedding models. For those, use the Pinecone CLI. --- list-indexes List all indexes in the current Pinecone project. --- describe-index Get configuration details for a specific index — cloud, region, dimension, metric, embedding model, field map, and status. Parameters: name (required) — Index name --- describe-index-stats Get statistics for an index including total record count and per-namespace breakdown. Parameters: name (required) — Index name --- create-index-for-model Create a new serverless index with an integrated embedding model. Pinecone handles embedding automatically — no external model needed.
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