Models and memory · Pinecone

Set up Pinecone

Search Pinecone docs, and create, upsert into and query Pinecone vector indexes from a local server.

Publisher: Pinecone Official
Run locally: npx -y @pinecone-database/mcp
Transports: stdio
Authentication: A Pinecone API key in PINECONE_API_KEY.
Environment: PINECONE_API_KEY
What it can touch: Read and write on your indexes.
Licence: Apache-2.0
Source: github.com/pinecone-io/pinecone-mcp
Status: Active

Install

This server runs on your machine as a child process of the client. You need the runtime its command uses, such as Node.js for npx, uv for uvx or Docker, plus any variables listed under Environment.

Claude Code

shell

claude mcp add --scope project --env PINECONE_API_KEY='<PINECONE_API_KEY>' pinecone -- npx -y @pinecone-database/mcp

Cursor

.cursor/mcp.json

{
  "mcpServers": {
    "pinecone": {
      "command": "npx",
      "args": [
        "-y",
        "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "${env:PINECONE_API_KEY}"
      }
    }
  }
}

Codex

~/.codex/config.toml

[mcp_servers.pinecone]
command = "npx"
args = ["-y", "@pinecone-database/mcp"]
env_vars = ["PINECONE_API_KEY"]

Config for other clients →

Other servers in models and memory

MCP Steering Group

Memory

Keeps a knowledge graph of entities and relations in a local file so the agent can recall facts between sessions.

MCP Steering Group

Sequential Thinking

Gives the model a scratchpad for breaking a problem into numbered thoughts it can revise or branch.

Hugging Face

Search Hub models, datasets, papers and docs, and call Gradio Spaces as tools, hosted by Hugging Face.

Sources

github.com/pinecone-io/pinecone-mcp