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DimensionCloudBase AI ToolkitAI writes the code. CloudBase runs the backend.ChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS59 / 100 · C75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions13 / 2016 / 20
Maintenance15 / 2014 / 20
Documentation13 / 2018 / 20
Setup experience10 / 2015 / 20
Best for
  • Developers using AI coding assistants (like Cursor, Claude Code) who want full-stack development on Tencent Cloud
  • Teams that need rapid setup of apps with login, database, and permissions
  • Developers who want to perform environment configuration, database operations, and deployment from chat
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Users who only need static hosting or frontend deployment without backend services
  • Users who cannot review AI-proposed sensitive actions (as the AI can directly modify data and permissions)
  • Users who do not want to use Tencent Cloud services
  • 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 login and access to a CloudBase environment
  • Access to database, cloud functions, storage, and other resources
  • May need elevated permissions to create databases, modify security rules, etc.
  • 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
  • AI might execute destructive operations (e.g., deleting data) – review critical steps
  • Local mode runs on your machine; code doesn't leave until you deploy, but cloud traffic uses HTTPS
  • Hosted mode transmits SecretId/SecretKey over HTTP – ensure trusted environment
  • 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 Code, Cursor, Codex, Gemini CLI, OpenCode, Windsurf, Trae, Tongyi Lingma, Roo Code, Cline, GitHub Copilot, Baidu Comate, Augment Code, OpenClaw, WorkBuddy, ZCode, CodeBuddyClaude Desktop
Tools027