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DimensionAirtable MCP ServerGive AI systems read and write access to your Airtable databasesChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS44 / 100 · D75 / 100 · B
Reliability6 / 2012 / 20
Security and permissions3 / 2016 / 20
Maintenance7 / 2014 / 20
Documentation15 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • Teams looking to integrate Airtable data into AI workflows
  • Individual developers who want to use natural language to operate Airtable data
  • Scenarios requiring rapid prototyping or automation
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Teams requiring complex permission control or auditing (the server uses a single token)
  • Scenarios requiring real-time collaboration or complex data relationships
  • Users with high security requirements who cannot restrict network exposure
  • 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 an Airtable personal access token
  • Token needs at least schema.bases:read and data.records:read scopes
  • Optional write scopes: schema.bases:write, data.records:write, data.recordComments:read, data.recordComments:write
  • Token must have access to target bases
  • 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
  • Token leakage could allow malicious reads/writes of data
  • HTTP mode has no built-in authentication and may be vulnerable to DNS rebinding attacks
  • Delete or update operations are irreversible; mistakes may cause data loss
  • Shared tokens may exceed intended access scope
  • 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, Claude Code, Cursor, Cline, VS CodeClaude Desktop
Tools1527