{
  "name": "io.github.pinecone-io/pinecone-mcp",
  "description": "The Pinecone MCP exposes Pinecone's vector-database operations: create indexes, upsert vectors with metadata, query by similarity, and filter on metadata. The fastest way to give an agent persistent retrieval over your own corpus.",
  "status": "active",
  "version": "latest",
  "_meta": {
    "com.top-mcps/lastVerified": "2026-05-26",
    "com.top-mcps/score": {
      "value": 80,
      "rubricVersion": "2026-04",
      "lastComputed": "2026-05-26T10:50:23.737Z",
      "methodology": "https://top-mcps.com/about/methodology"
    },
    "com.top-mcps/stats": {
      "fetchedAt": "2026-05-26T10:50:23.074Z",
      "githubStars": 68,
      "lastCommitAt": "2026-05-23T13:45:17Z",
      "npmWeeklyDownloads": 3029
    }
  },
  "repository": {
    "url": "https://github.com/pinecone-io/pinecone-mcp",
    "source": "github"
  },
  "author": {
    "name": "Pinecone"
  },
  "packages": [
    {
      "registryType": "npm",
      "registryBaseUrl": "https://registry.npmjs.org",
      "identifier": "@pinecone-database/mcp",
      "version": "latest",
      "transport": {
        "type": "stdio"
      },
      "environmentVariables": [
        {
          "name": "PINECONE_API_KEY",
          "description": "PINECONE_API_KEY — required credential for Pinecone.",
          "isRequired": true,
          "isSecret": true
        }
      ]
    }
  ],
  "capabilities": {
    "security": {
      "scope": "read-write",
      "sandbox": "API key grants full project access. Use separate keys per environment.",
      "gotchas": [
        "No row-level security — anyone with the key can read/write any vector in the project.",
        "Embeddings cost money on every upsert; idempotent upserts matter."
      ]
    }
  },
  "_links": {
    "html": "https://top-mcps.com/mcp/pinecone",
    "markdown": "https://top-mcps.com/mcp/pinecone.md",
    "methodology": "https://top-mcps.com/about/methodology"
  }
}