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Dimensionpg-aiguideAI-optimized PostgreSQL expertise for coding assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS50 / 100 · D75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions9 / 2016 / 20
Maintenance12 / 2014 / 20
Documentation10 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Developers using AI coding tools (Claude Code, Cursor, Codex, Gemini CLI).
  • Those wanting to ensure generated PostgreSQL code is modern, reliable, and performant.
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Applications requiring direct database connections or query execution.
  • Environments needing local, offline operation.
  • 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
  • As a remote HTTP server, it receives queries and returns documentation.
  • As skills, it may be invoked automatically by AI agents.
  • 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
  • Public server may contain outdated or inaccurate information from docs.
  • Remote server exposed to network risks.
  • AI agents may generate plausible but unvalidated code.
  • 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 clientsClaude Code, Cursor, VS Code, Codex, Gemini CLI, WindsurfClaude Desktop
Tools227