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Pinecone MCP
pinecone-io/pinecone-mcp
The Model Context Protocol (MCP) is a standard that allows coding assistants and other AI tools to interact with platforms like Pinecone. The Pinecone Developer MCP Server allows you to connect these tools with Pinecone projects and documentation.
Install
npx -y @pinecone-database/mcpClient configuration
{
"mcpServers": {
"pinecone": {
"command": "npx",
"args": [
"-y",
"@pinecone-database/mcp"
],
"env": {
"PINECONE_API_KEY": "<PINECONE_API_KEY>"
}
}
}
}Environment variables
PINECONE_API_KEY- GitHub stars
- 12
- Author
- @pinecone-io
- Category
- Database, Developer Tools
- License
- Apache-2.0
- Updated
- Oct 6, 2026
Tools (9)
search-docs
Search the official Pinecone documentation.
list-indexes
Lists all Pinecone indexes.
describe-index
Describes the configuration of an index.
describe-index-stats
Provides statistics about the data in the index, including the number of records and available namespaces.
create-index-for-model
Creates a new index that uses an integrated inference model to embed text as vectors.
upsert-records
Inserts or updates records in an index with integrated inference.
search-records
Searches for records in an index based on a text query, using integrated inference for embedding.
cascading-search
Searches for records across multiple indexes, deduplicating and reranking the results.
rerank-documents
Reranks a collection of records or text documents using a specialized reranking model.
Details on this page are taken from the project's README. Open README
Supported clients
Clients mentioned in this server's README:
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