Frequently Asked Questions (FAQ) about Pinecone Assistant MCP Server

Q: What is the Pinecone Assistant MCP Server? A: 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.

Q: What are the prerequisites for using the Pinecone Assistant MCP Server? A: You need Docker installed, a Pinecone API key, and the Pinecone Assistant API host.

Q: How do I build the Docker image for the MCP Server? A: Use the command docker build -t pinecone/assistant-mcp . in the directory containing the Dockerfile.

Q: How do I run the MCP Server with Docker? A: Execute the following command, replacing placeholders with your actual API key and host: docker run -i --rm -e PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE> -e PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE> pinecone/assistant-mcp

Q: What environment variables are supported by the MCP Server? A: Required: PINECONE_API_KEY. Optional: PINECONE_ASSISTANT_HOST (default: https://prod-1-data.ke.pinecone.io), LOG_LEVEL (default: info).

Q: How can I use the MCP Server with Claude Desktop? A: Add the provided JSON configuration to your claude_desktop_config.json file, replacing the placeholder API key and host with your actual values.

Q: Can I build the MCP Server from source without Docker? A: Yes, ensure you have Rust installed, clone the repository, and run cargo build --release. The binary will be at target/release/assistant-mcp.

Q: Where do I obtain the Pinecone API key and Assistant API host? A: The Pinecone API key can be obtained from the Pinecone Console. The Assistant API host is found in the Assistant details page after creating an Assistant in Pinecone Console.

Q: What is UBOS and how does it relate to the Pinecone Assistant MCP Server? A: 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.

Q: What if I encounter issues when using the MCP Server? A: Refer to the project’s documentation, community forums, or contact support for assistance.

Q: Is the Pinecone Assistant MCP Server open source? A: Yes, this project is licensed under the terms specified in the LICENSE file, implying it is open source.

Q: How can I test the MCP Server after building it from source? A: You can use the inspector by running the commands: sh export PINECONE_API_KEY=<YOUR_PINECONE_API_KEY_HERE> export PINECONE_ASSISTANT_HOST=<YOUR_PINECONE_ASSISTANT_HOST_HERE>

Run the inspector alone

npx @modelcontextprotocol/inspector cargo run

Or run with Docker directly through the inspector

npx @modelcontextprotocol/inspector – docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcp