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
With your agent
Install OMGSkills skill "pinecone-io/skills:pinecone-mcp" into this agent's normal skills directory: call the OMGSkills MCP get_install_plan tool for your agent and run the script it returns (it installs only the pinned commit and verifies SKILL.md), and stop if MCP or the pin is unavailable. Do not overwrite or change existing skills without asking me.
Manual command
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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