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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionTeradata MCP ServerConnect AI agents directly to Teradata with enterprise security and extensibility.ChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS47 / 100 · D75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2016 / 20
Maintenance8 / 2014 / 20
Documentation9 / 2018 / 20
Setup experience12 / 2015 / 20
Best for
  • Developers building AI agents that need direct Teradata access
  • Users wanting to quickly create semantic layers
  • Users needing database admin capabilities
  • Users wanting to use RAG pipelines
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Non-Teradata database users
  • Users needing a full GUI management interface
  • Enterprises requiring official support (community project)
  • 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 Teradata database credentials
  • May need access to database objects (tables, views, stored procedures)
  • May execute SQL queries
  • May require file system access (depending on tool)
  • 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
  • Database credentials are stored in plaintext in environment
  • Executing SQL queries may modify data or impact performance
  • Row limit protection reduces token overflow risk
  • Community project, security should be self-assessed
  • 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, VS Code, Open WebUI, FlowiseClaude Desktop
Tools927