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DimensionPinecone MCP ServerConnect your Pinecone projects to Cursor, Claude, and other AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS46 / 100 · D75 / 100 · B
Reliability5 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance9 / 2014 / 20
Documentation12 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers who use Pinecone as part of their technology stack.
  • Users who want to manage Pinecone projects and indexes from within AI coding assistants.
  • Those needing to interact with Pinecone documentation or generate code based on configuration.
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Users working with indexes without integrated inference, or requiring standalone embeddings, vector search, or assistant features.
  • Scenarios where you need to provide AI assistants with context from your knowledge base (use Pinecone's Assistant MCP for that).
  • Non-developer use cases or non-coding assistant environments.
  • Production settings requiring official ChEMBL support (this is unofficial)
  • Users without a Node.js or Docker environment
  • General database tasks unrelated to ChEMBL
Required permissions
  • Requires a PINECONE_API_KEY environment variable to access your Pinecone project.
  • Allows AI tools to create, list, describe, and delete indexes (actions depend on tool set).
  • Allows upserting and searching records, as well as cross-index search and reranking operations.
  • Allows searching official Pinecone documentation (no API key needed).
  • Outbound network access to https://www.ebi.ac.uk/chembl/api/data
  • Read-only access to public API data; no authentication credentials required
Risks and side effects
  • API key exposure: ensure the key is kept secure and not committed to version control.
  • Misoperations: AI assistants may accidentally create, modify, or delete indexes; authorize carefully.
  • Cost implications: index operations and data usage may incur charges; monitor usage.
  • Network dependency: requires access to api.pinecone.io; may fail behind firewalls.
  • Unofficial project with license marked NOASSERTION (README claims MIT); verify licensing yourself
  • Data accuracy depends on the ChEMBL REST API and the server's parsing may contain defects
  • 30-second request timeouts may constrain large batch queries
  • README inconsistency on tool count (22 vs 27) raises documentation reliability concerns
Supported clientsCursor, Claude Desktop, Gemini CLIClaude Desktop
Tools927