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DimensionChMonitorAI operational advisor for ClickHouse with MCP serverChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS64 / 100 · C75 / 100 · B
Reliability7 / 2012 / 20
Security and permissions14 / 2016 / 20
Maintenance15 / 2014 / 20
Documentation14 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • Teams needing real-time monitoring and AI-driven optimization advice for ClickHouse
  • Developers and data engineers who want to surface ClickHouse data to AI assistants
  • Users deploying on Docker, Kubernetes, or ClickHouse Cloud
  • 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 don't need ClickHouse monitoring or optimization suggestions
  • Those seeking automatic schema changes or DDL execution (chmonitor recommends only)
  • Scenarios requiring write or modification access to ClickHouse data
  • 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-only access to ClickHouse system.* tables (schema, queries, merges, replication, etc.)
  • Requires a ClickHouse user with read permissions on system tables (e.g., default or a dedicated read-only user)
  • For hosted instance, a valid API key is required
  • 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
  • Read-only operations, but ensure API key security to prevent unauthorized access
  • AI recommendations may be inaccurate; review before applying
  • When self-hosting, protect ClickHouse credentials (CLICKHOUSE_PASSWORD)
  • 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, CursorClaude Desktop
Tools027