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@pinecone-database/mcp

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

GitHub ↗npm ↗
52
TrustScore
✅ No clear abandonment signal detected; complete security and compatibility checks before production use

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>"
      }
    }
  }
}

Works with these clients

  • Claude Desktopnpx
  • Claude Codenpx
  • Cursornpx
  • VS Codenpx
  • Windsurfnpx

Derived from the registry manifest (package type and transport) — we have not installed it ourselves. Check the official README before relying on it.

Install / Connect

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

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

🛠️ Maintenance weight 30% · 55 pts

📝
Last commit14 days ago
📈
Commits in 90 days9
💬
Recent issues with replies0%
🗃️
Repo statusNormal

📊 Adoption weight 25% · 37 pts

⭐
GitHub stars70 (90d +0%)
📦
npm weekly downloads2.5k（+34%）
🚀
Releases per month0.3

✅ Usability weight 20% · 55 pts

📋
Official registryNot listed
▶️
Runnable entryResolvable (npx/remote)
🔍
AuditabilityOpen-source repo, auditable

❤️ Health & community weight 25% · 55 pts

🐛
open issues25
🔀
open PRs—
⚖️
LicenseApache-2.0
👥
Contributors / forks7 / 22

Sources: GitHub API · npm registry · updated 2026-07-30

90-day trend

⭐ stars +0%

📦 weekly downloads +34%

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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 memoryPick a vector store: Pinecone (scaled) / Qdrant / Chroma (light) / Weaviate

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