Pinecone Assistant MCP Server
@pinecone-io
About Pinecone Assistant MCP Server
Pinecone Assistant MCP server
Config
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"assistant-mcp": {
"command": "docker",
"args": [
"build",
"-t",
"pinecone/assistant-mcp",
"."
]
}
}
}Tools
No tools detected
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
Overview
What is Pinecone Assistant MCP Server?
An MCP server implementation for retrieving information from Pinecone Assistant. It allows users to query a Pinecone Assistant using their Pinecone API key and Assistant host.
How to use Pinecone Assistant MCP Server?
Deploy with Docker using the provided image and set the required environment variables (PINECONE_API_KEY). Optionally, set PINECONE_ASSISTANT_HOST. Build from source with Rust if preferred. Integrate with Claude Desktop by adding a Docker-based configuration to claude_desktop_config.json. Test using the MCP inspector.
Key features of Pinecone Assistant MCP Server
- Retrieves information from Pinecone Assistant
- Supports multiple results retrieval with a configurable number of results
- Docker-based deployment for easy setup
- Buildable from source via Rust and Cargo
Use cases of Pinecone Assistant MCP Server
—
FAQ from Pinecone Assistant MCP Server
What prerequisites are required to use Pinecone Assistant MCP Server?
You need Docker installed, a Pinecone API key from the Pinecone Console, and the Pinecone Assistant API host (found after creating an Assistant). Building from source requires Rust.
What environment variables does Pinecone Assistant MCP Server use?
It uses PINECONE_API_KEY (required), PINECONE_ASSISTANT_HOST (optional, defaults to https://prod-1-data.ke.pinecone.io), and LOG_LEVEL (optional, defaults to info).
How do I run Pinecone Assistant MCP Server with Docker?
Build the Docker image with docker build -t pinecone/assistant-mcp . then run with docker run -i --rm -e PINECONE_API_KEY=<key> -e PINECONE_ASSISTANT_HOST=<host> pinecone/assistant-mcp.
How can I use Pinecone Assistant MCP Server with Claude Desktop?
Add an entry to claude_desktop_config.json with the command docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcp and pass the environment variables via the env object.
How do I build Pinecone Assistant MCP Server from source?
Clone the repository, ensure Rust is installed, then run `cargo build --
Frequently asked questions
What prerequisites are required to use Pinecone Assistant MCP Server?
You need Docker installed, a Pinecone API key from the Pinecone Console, and the Pinecone Assistant API host (found after creating an Assistant). Building from source requires Rust.
What environment variables does Pinecone Assistant MCP Server use?
It uses `PINECONE_API_KEY` (required), `PINECONE_ASSISTANT_HOST` (optional, defaults to `https://prod-1-data.ke.pinecone.io`), and `LOG_LEVEL` (optional, defaults to `info`).
How do I run Pinecone Assistant MCP Server with Docker?
Build the Docker image with `docker build -t pinecone/assistant-mcp .` then run with `docker run -i --rm -e PINECONE_API_KEY=<key> -e PINECONE_ASSISTANT_HOST=<host> pinecone/assistant-mcp`.
How can I use Pinecone Assistant MCP Server with Claude Desktop?
Add an entry to `claude_desktop_config.json` with the command `docker run -i --rm -e PINECONE_API_KEY -e PINECONE_ASSISTANT_HOST pinecone/assistant-mcp` and pass the environment variables via the `env` object.
How do I build Pinecone Assistant MCP Server from source?
Clone the repository, ensure Rust is installed, then run `cargo build --
Basic information
More AI & Agents MCP servers
🔎 GPT Researcher
assafelovicAn autonomous agent that conducts deep research on any data using any LLM providers
🛡️ A.I.G(AI-Infra-Guard)
TencentA full-stack AI Red Teaming platform securing AI ecosystems via OpenClaw Security Scan, Agent Scan, Skills Scan, MCP scan, AI Infra scan and LLM jailbreak evaluation.
Hass-MCP
voskaControl and query Home Assistant from Claude and other LLMs — a Model Context Protocol (MCP) server.
Open Multi-Agent Canvas
CopilotKitThe open-source multi-agent chat interface that lets you manage multiple agents in one dynamic conversation and add MCP servers for deep research
Solon Ai
opensolonJava AI application development framework (supports LLM-tool,skill; RAG; MCP; Agent-ReAct,Team-Agent). Compatible with java8 ~ java25. It can also be embedded in SpringBoot, jFinal, Vert.x, Quarkus, and other frameworks.
Comments