What Pinecone does in Claude
Integrate Pinecone vector database directly into your Claude Code workflow. This plugin provides a complete toolkit for managing vector indexes, querying data with natural language, and rapidly prototyping semantic search applications—all without leaving your editor. The MCP server gives you access to seven powerful tools: list-indexes, describe-index, describe-index-stats, search-records, create-index-for-model, upsert-records, and rerank-documents. Build RAG applications, recommendation systems, and semantic search features with full control over your vector data. How to use: Run /pinecone:quickstart to generate AGENTS.md files and walk through a Python tutorial. Use /pinecone:query to search your indexes interactively—specify an index name, namespace, and optional reranker. Run /pinecone:help for setup guidance and troubleshooting. You can also ask Claude directly to "list my Pinecone indexes" or "create a new index for my embeddings model." Requires a Pinecone API key set as PINECONE_API_KEY environment variable before starting Claude Code. Sign up for a free account at pinecone.io to get started.
Included skills (9)
- assistant
- cli
- docs
- full-text-search
- help
- mcp
- n8n
- query
- quickstart
How to add Pinecone to Claude
- 1
In Claude Code, run
/pluginand open the Discover tab. - 2 Search for Pinecone and choose Install. In Cowork, add it from the plugin directory.
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Questions people ask
What does the Pinecone plugin do in Claude?
Integrate Pinecone vector database directly into your Claude Code workflow. This plugin provides a complete toolkit for managing vector indexes, querying data with natural language, and rapidly prototyping semantic search applications—all without leaving your editor. The MCP server gives you access to seven powerful tools: list-indexes, describe-index, describe-index-stats, search-records, create-index-for-model, upsert-records, and rerank-documents. Build RAG applications, recommendation systems, and semantic search features with full control over your vector data. How to use: Run /pinecone:quickstart to generate AGENTS.md files and walk through a Python tutorial. Use /pinecone:query to search your indexes interactively—specify an index name, namespace, and optional reranker. Run /pinecone:help for setup guidance and troubleshooting. You can also ask Claude directly to "list my Pinecone indexes" or "create a new index for my embeddings model." Requires a Pinecone API key set as PINECONE_API_KEY environment variable before starting Claude Code. Sign up for a free account at pinecone.io to get started.
Is the Pinecone plugin official?
It is made by Pinecone. This site is independent and lists it from the official directory.