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DimensionFirebase MCP ServerMCP server that lets AI assistants work directly with Firebase servicesChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS54 / 100 · D75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions6 / 2016 / 20
Maintenance11 / 2014 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Developers with data already in Firebase who want AI assistants to read and write it directly
  • Users of MCP clients such as Claude Desktop, Cursor, VS Code, or Augment Code
  • Workflows combining document database, file storage, and user lookup
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Users without a Firebase project or service account credentials
  • Firebase administration tasks such as project management or function deployment
  • Environments without an MCP client or the ability to configure environment variables
  • 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 Firebase service account private key JSON file (SERVICE_ACCOUNT_KEY_PATH)
  • The service account must have proper permissions for Firestore, Storage, and Authentication services
  • Requires a Firebase Storage bucket name, either configured or defaulted
  • 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
  • Service account private keys carry broad privileges; misconfiguration or leakage can expose full data access
  • AI assistants can delete Firestore documents and upload/overwrite storage files, creating risk of unintended operations
  • The firestore_list_collections tool may trigger a Zod validation error in client logs (a known MCP SDK issue that does not affect functionality but may cause confusion)
  • Some Firestore queries require manually creating composite indexes in the Firebase Console
  • 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, Augment Code, VS Code, CursorClaude Desktop
Tools1227