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DimensionEth Labels MCP ServerA public dataset of labeled crypto addresses for EVM chainsMCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS47 / 100 · D79 / 100 · B75 / 100 · B
Reliability5 / 2012 / 2012 / 20
Security and permissions8 / 2018 / 2016 / 20
Maintenance12 / 2017 / 2014 / 20
Documentation12 / 2017 / 2018 / 20
Setup experience10 / 2015 / 2015 / 20
Best for
  • Developers and researchers needing quick EVM address labels
  • AI assistants that interact with the Ethereum ecosystem
  • Users who want access to public dataset
  • 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
  • Scenarios requiring real-time or dynamic label updates
  • Users needing non-public or proprietary address data
  • Users requiring advanced analytics or complex queries
  • 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
  • No API key or authentication required
  • Only uses public data
  • Requires network access to fetch the dataset
  • 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
  • Data may be incomplete or inaccurate
  • Dataset may not be updated in real-time
  • Labels may not reflect the latest state
  • 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 Desktop, Claude Code, Cursor, Windsurf, GitHub Copilot, ClineClaude DesktopClaude Desktop
Tools3427