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DimensionSpotDB MCP ServerGive your agents a secure, containerized SQL sandboxChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS45 / 100 · D75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions8 / 2016 / 20
Maintenance9 / 2014 / 20
Documentation9 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • AI developers needing a secure, isolated data environment
  • Teams wanting controlled data exploration and analysis
  • Users wanting to quickly try DuckDB capabilities
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Production environments requiring long-term persistent storage
  • Scenarios needing high concurrency or complex data pipelines
  • Users looking for a full-fledged database management tool
  • 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
  • Can read user-provided CSV files
  • Can execute SQL queries (only within sandbox)
  • Can access data via API or MCP
  • 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
  • Data may be ephemeral; save promptly
  • Sandbox may not directly access production databases
  • Relies on external components like Docker
  • 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 Desktop
Tools027