mcp-pinecone
by: sirmews
Model Context Protocol server to allow for reading and writing from Pinecone. Rudimentary RAG
📌Overview
Purpose: To provide a seamless framework for reading and writing to a Pinecone index for applications such as Claude Desktop.
Overview: The Pinecone Model Context Protocol Server facilitates efficient interactions with a Pinecone index, enabling users to conduct operations like semantic search, document reading, and statistics retrieval. This server is integral for applications needing quick access to large datasets through a robust indexing system.
Key Features:
-
Semantic Search: Allows users to perform searches within the Pinecone index, retrieving records based on semantic similarity.
-
Document Management: Features tools to read individual documents, list all documents, and process new documents into chunks for upsert into the index, ensuring efficient and organized data management.
Pinecone Model Context Protocol Server for Claude Desktop
Overview
The Pinecone Model Context Protocol (MCP) Server allows you to read and write to a Pinecone index.
Components
- MCP Client (e.g., Claude Desktop): User Interface
- MCP Server (pinecone-mcp): Contains the Server Class and Request Handlers
- Request Handlers:
list_resources
read_resource
list_tools
call_tool
get_prompt
list_prompts
- Implemented Tools:
semantic-search
: Search for records in the Pinecone index.read-document
: Read a document from the Pinecone index.list-documents
: List all documents in the Pinecone index.pinecone-stats
: Get stats about the Pinecone index, including the number of records, dimensions, and namespaces.process-document
: Process a document into chunks and upsert them into the Pinecone index.
- Request Handlers:
- Pinecone Service: Contains Pinecone Client and Operations
- Pinecone Operations:
search_records
upsert_records
fetch_records
list_records
generate_embeddings
- Pinecone Operations:
Quickstart
Installing via Smithery
To install the Pinecone MCP Server for Claude Desktop, use the following command:
npx -y @smithery/cli install mcp-pinecone --client claude
Install the Server
You can use uv
to install the server locally:
uvx install mcp-pinecone
or
uv pip install mcp-pinecone
Add your configurations in the specified location for Claude Desktop:
- MacOS:
~/Library/Application Support/Claude/claude_desktop_config.json
- Windows:
%APPDATA%/Claude/claude_desktop_config.json
Configuration
Development/Unpublished Servers Configuration:
"mcpServers": {
"mcp-pinecone": {
"command": "uv",
"args": [
"--directory",
"{project_dir}",
"run",
"mcp-pinecone"
]
}
}
Published Servers Configuration:
"mcpServers": {
"mcp-pinecone": {
"command": "uvx",
"args": [
"--index-name",
"{your-index-name}",
"--api-key",
"{your-secret-api-key}",
"mcp-pinecone"
]
}
}
Sign Up for Pinecone
You can sign up for a Pinecone account here.
Get an API Key
Create a new index in Pinecone and retrieve your API key from the Pinecone dashboard.
Development
Building and Publishing
To prepare the package for distribution:
-
Sync dependencies and update the lockfile:
uv sync
-
Build package distributions:
uv build
-
Publish to PyPI:
uv publish
Debugging
For the best debugging experience, use the MCP Inspector. Launch the Inspector using:
npx @modelcontextprotocol/inspector uv --directory {project_dir} run mcp-pinecone
License
This project is licensed under the MIT License.
Source Code
The source code is available on GitHub.
Contributing
Feel free to share your ideas and feedback on Bluesky or by opening an issue.