Active✓ In official registry

@pinecone-database/mcp

Connect your Pinecone projects to Cursor, Claude, and other AI assistants

GitHub ↗npm ↗registry ↗

TrustScore

✅ Actively maintained, production-ready

What it does for you

Connects your AI to Pinecone — large-scale semantic search and index management, a production RAG backend.

Capabilities

Vector search
Manage indexes and namespaces

Once installed, try asking your AI

Say this directly in Claude / Cursor or any client with this server connected

›“Query the top 5 matches for the user's question in this index”

Before you connect

🔑 Needs an API key / tokenNode.js

Config example (to connect)

{
  "mcpServers": {
    "pinecone": {
      "command": "npx",
      "args": [
        "-y", "@pinecone-database/mcp"
      ],
      "env": {
        "PINECONE_API_KEY": "<your pinecone api key>"
      }
    }
  }
}

Install / Connect

claude mcp add mcp -- npx -y @pinecone-database/mcp

Follow the official README; env and args vary per server.

🛠️ Maintenance weight 30% · 59 pts

📝

Last commit7 days ago

📈

Commits in 90 days9

💬

Median issue responseNo response

🗃️

Repo statusNormal

📊 Adoption weight 25% · 38 pts

⭐

GitHub stars70 (90d +0%)

📦

npm weekly downloads1.7k（+0%）

🚀

Releases per month0.7

✅ Usability weight 20% · 100 pts

📋

Official registryListed

▶️

Runnable entryResolvable (npx/remote)

🔍

AuditabilityOpen-source repo, auditable

❤️ Health & community weight 25% · 55 pts

🐛

open issues23

🔀

open PRs—

⚖️

LicenseApache-2.0

👥

Contributors / forks7 / 22

Sources: GitHub API · npm registry · Official registry · updated 2026-07-23

90-day trend

⭐ stars +0%

📦 weekly downloads +0%

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How to choose among these

Database servers split into relational vs. vector; vector stores are all for RAG, differing by scale and hosting.

Relational DB (business data, SQL)→Pick Supabase / Neon / MongoDB / ClickHouse — match your DB
RAG with semantic memory→Pick a vector store: Pinecone (scaled) / Qdrant / Chroma (light) / Weaviate

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