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DimensionGreptimeDB MCP ServerQuery and analyze GreptimeDB metrics, logs, and traces via SQL, TQL, and RANGE queries.MCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS60 / 100 · C79 / 100 · B75 / 100 · B
Reliability10 / 2012 / 2012 / 20
Security and permissions12 / 2018 / 2016 / 20
Maintenance11 / 2017 / 2014 / 20
Documentation14 / 2017 / 2018 / 20
Setup experience13 / 2015 / 2015 / 20
Best for
  • Developers working with time-series and observability data.
  • Teams needing natural language access to their database for query and analysis.
  • Users wanting to integrate AI-assisted data exploration within MCP clients.
  • Teams already using ClickHouse who want AI assistants to access data directly.
  • Scenarios requiring fast, read-only data queries and schema exploration.
  • 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 need write operations or DDL/DML (read-only by default; write mode only for local/test, extremely risky).
  • Users not using GreptimeDB.
  • Users who need direct database access without MCP integration.
  • Scenarios requiring write access to the database without explicit opt-in.
  • Production environments with stringent security requirements that avoid default permission settings.
  • 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 GreptimeDB for SQL, TQL, and RANGE queries.
  • Access to HTTP API (default port 4000) for pipeline and dashboard management.
  • Access to configured credentials via environment variables or CLI arguments.
  • Data masking is enabled by default to prevent sensitive column exposure.
  • Requires read-only access to ClickHouse database (default).
  • Optional: write access via CLICKHOUSE_ALLOW_WRITE_ACCESS.
  • Optional: destructive operations via CLICKHOUSE_ALLOW_DROP.
  • 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
  • If write mode is enabled (disabled by default), AI could execute destructive SQL; never enable against production.
  • Queries may be expensive if complex or misused; restrict access and resources.
  • Providing secret environment variables over HTTP could increase exposure risk.
  • Database may be inaccessible due to network configuration or startup issues.
  • If write access is enabled, AI might make unintended modifications.
  • If DROP access is enabled, data deletion could occur accidentally.
  • Credentials may be exposed via environment variables.
  • 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 DesktopClaude DesktopClaude Desktop
Tools13427