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DimensionSpotDB MCP ServerGive your agents a secure, containerized SQL sandboxMCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS45 / 100 · D79 / 100 · B75 / 100 · B
Reliability9 / 2012 / 2012 / 20
Security and permissions8 / 2018 / 2016 / 20
Maintenance9 / 2017 / 2014 / 20
Documentation9 / 2017 / 2018 / 20
Setup experience10 / 2015 / 2015 / 20
Best for
  • AI developers needing a secure, isolated data environment
  • Teams wanting controlled data exploration and analysis
  • Users wanting to quickly try DuckDB capabilities
  • 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
  • Production environments requiring long-term persistent storage
  • Scenarios needing high concurrency or complex data pipelines
  • Users looking for a full-fledged database management tool
  • 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
  • Can read user-provided CSV files
  • Can execute SQL queries (only within sandbox)
  • Can access data via API or MCP
  • 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 ephemeral; save promptly
  • Sandbox may not directly access production databases
  • Relies on external components like Docker
  • 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 Desktop
Tools0427