Pinecone MCP Server | Pipedream

Pinecone MCP Server

Long-term Memory for AI. The Pinecone vector database makes it easy to build high-performance vector search applications. Developer-friendly, fully managed, and easily scalable without infrastructure hassles.

Artificial Intelligence (AI)

Getting started

Configure and install the MCP server for your preferred client

Configuration

Client-specific instructions

Follow the instructions below for your specific MCP client

Navigate to Settings, then Cursor Settings
Select MCP on the left
Click Add new global MCP server at the top right
Copy and paste the server config to your existing file, then save

Available tools

Add all 5 actions as tools in your MCP client

Delete Vectors

Deletes one or more vectors by ID, from a single namespace. See the documentation.

Query IDs

Searches a namespace, using a query vector. It retrieves the ids of the most similar items in a namespace, along with their similarity scores. See the documentation.

Upsert Vector

Writes vectors into a namespace. If a new value is upserted for an existing vector ID, it will overwrite the previous value. See the documentation.

Fetch Vectors

Looks up and returns vectors by ID, from a single namespace.. See the documentation.

Update Vector

Updates vector in a namespace. If a value is included, it will overwrite the previous value. See the documentation.

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