TL;DR

Pinecone is a Databases MCP server that lets Claude Code, Cursor, Windsurf and any MCP-compatible AI agent vector database for AI embeddings. Install in 1 minute with mcpizy install pinecone.

🌲

Pinecone

Install verified 5 tools

Databases

Last updated November 7, 2026 · By MCPizy team

Vector database for AI embeddings

Official homepage

Install Pinecone

Via MCPizy CLI (recommended):

mcpizy install pinecone

Or run directly:

npx -y pinecone-mcp

Tools exposed

5 tools available

list_indexes

List all Pinecone indexes

create_index

Create a new index

Inputs

namestringrequired
dimensionnumberrequired
metricstringoptional

upsert_vectors

Insert or update vectors into an index

Inputs

index_namestringrequired
vectorsobject[]required

query_vectors

Query nearest vectors to an input

Inputs

index_namestringrequired
vectornumber[]required
top_knumberoptional

delete_vectors

Delete vectors by ID

Inputs

index_namestringrequired
idsstring[]required

Configuration

Works identically across clients. Only the config file path differs.

Claude Code~/.claude.json

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

Cursor.cursor/mcp.json

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

Windsurf~/.codeium/windsurf/mcp_config.json

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

Authentication setup

1
Copy your API key from the Pinecone console
Get it PINECONE_API_KEY

What you can do with Pinecone MCP

Paste any of these prompts into Claude Code, Cursor or another MCP-compatible client.

“List every index I have and their dimension”

Uses: list_indexes

“Create a 1536-dim index named 'docs' for OpenAI embeddings”

Uses: create_index

“Find the 5 most similar vectors to this embedding in my 'docs' index”

Uses: query_vectors

Works with

Claude Code

Claude Desktop

Cursor

Windsurf

VS Code + Copilot

Any MCP Client

Maintain Pinecone? Add the “Listed on” badge

Optional, and it changes nothing about the listing. Paste it in your server’s README.

Markdown (README)

[![Listed on mcpizy.com](https://mcpizy.com/badge.svg)](https://mcpizy.com/directory/pinecone)

HTML

<a href="https://mcpizy.com/directory/pinecone"><img src="https://mcpizy.com/badge.svg" alt="Listed on mcpizy.com" width="152" height="20"></a>

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Pinecone in our guides

Frequently asked questions

What is the Pinecone MCP server?

Pinecone is listed as an Databases Model Context Protocol server whose documented purpose is to let an MCP-compatible agent vector database for AI embeddings. Client support, permissions and authentication remain specific to the upstream project.

How do I install Pinecone MCP with Claude Code?

The fastest way is the MCPizy CLI: run `mcpizy install pinecone` and MCPizy will add the server to your `.claude.json` automatically. You can also install it manually by adding an entry under `mcpServers` in `.claude.json` with the command `npx -y pinecone-mcp` and restarting Claude Code.

Does MCPizy charge to view or install Pinecone MCP?

No. Reading this profile and copying its install guidance is free. Upstream software, API, account or usage costs are separate, and licence coverage should be checked from the linked source when available.

Does Pinecone MCP work with Cursor and Windsurf?

The MCP standard is supported by those clients, but a specific server can still have client-specific setup or transport limits. Use the configuration shown on this page when present and verify the upstream instructions before installation.

What can I do with Pinecone MCP?

Its documented purpose is to let an MCP-compatible agent vector database for AI embeddings. The exact tools, permissions and write capabilities depend on the server version and configuration shown by the upstream project.

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