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DimensionUniversal DB MCPConnect AI to Your Database with Natural LanguageChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS49 / 100 · D75 / 100 · B
Reliability5 / 2012 / 20
Security and permissions9 / 2016 / 20
Maintenance10 / 2014 / 20
Documentation13 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers and data analysts who need to access databases from multiple AI platforms and IDEs using natural language
  • Scenarios requiring connection to diverse databases including Chinese domestic databases
  • Environments that need read-only safe access to prevent accidental modifications
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Scenarios that require write operations (INSERT, UPDATE, DELETE) without permission restrictions (read-only by default)
  • Environments with strict security policies that cannot rely on third-party connectors
  • 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
  • Read database connection configuration information
  • Execute SQL queries (read-only by default, can be extended to write with configuration)
  • Access database schema and metadata
  • 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
  • Enabling full write mode could lead to data corruption or loss
  • Database credentials may be stored in plaintext in config files; handle with care
  • Remote access (HTTP) may face unauthorized access risk; use API keys and network security measures
  • 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, Cursor, Windsurf, VS Code, ChatGPTClaude Desktop
Tools927