Question 1

What is the Pinecone Assistant MCP Server?

Accepted Answer

The Pinecone Assistant MCP Server is an implementation of the Model Context Protocol (MCP) designed to facilitate the retrieval of information from Pinecone Assistant. It acts as a bridge between AI models and the Pinecone knowledge base.

Question 2

What are the prerequisites for using the Pinecone Assistant MCP Server?

Accepted Answer

You need Docker installed, a Pinecone API key, and the Pinecone Assistant API host.

Question 3

How do I build the Docker image for the MCP Server?

Accepted Answer

Use the command `docker build -t pinecone/assistant-mcp .` in the directory containing the Dockerfile.

Question 4

How do I run the MCP Server with Docker?

Accepted Answer

Execute the following command, replacing placeholders with your actual API key and host: `docker run -i --rm -e PINECONE_API_KEY= -e PINECONE_ASSISTANT_HOST= pinecone/assistant-mcp`

Question 5

What environment variables are supported by the MCP Server?

Accepted Answer

Required: `PINECONE_API_KEY`. Optional: `PINECONE_ASSISTANT_HOST` (default: `https://prod-1-data.ke.pinecone.io`), `LOG_LEVEL` (default: `info`).

Question 6

How can I use the MCP Server with Claude Desktop?

Accepted Answer

Add the provided JSON configuration to your `claude_desktop_config.json` file, replacing the placeholder API key and host with your actual values.

Question 7

Can I build the MCP Server from source without Docker?

Accepted Answer

Yes, ensure you have Rust installed, clone the repository, and run `cargo build --release`. The binary will be at `target/release/assistant-mcp`.

Question 8

Where do I obtain the Pinecone API key and Assistant API host?

Accepted Answer

The Pinecone API key can be obtained from the [Pinecone Console](https://app.pinecone.io). The Assistant API host is found in the Assistant details page after creating an Assistant in Pinecone Console.

Question 9

What is UBOS and how does it relate to the Pinecone Assistant MCP Server?

Accepted Answer

UBOS is a full-stack AI Agent Development Platform. The Pinecone Assistant MCP Server can be integrated into UBOS to allow AI Agents to retrieve information from Pinecone Assistant, enhancing their capabilities.

Question 10

What if I encounter issues when using the MCP Server?

Accepted Answer

Refer to the project's documentation, community forums, or contact support for assistance.

Question 11

Is the Pinecone Assistant MCP Server open source?

Accepted Answer

Yes, this project is licensed under the terms specified in the LICENSE file, implying it is open source.

Question 12

How can I test the MCP Server after building it from source?

Accepted Answer

You can use the inspector by running the commands:nshnexport PINECONE_API_KEY=nexport PINECONE_ASSISTANT_HOST=n# Run the inspector alonennpx @modelcontextprotocol/inspector cargo runn# Or run with Docker directly through the inspectornnpx @modelcontextprotocol/inspector -- docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcpn

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