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DimensionArcadeDB MCP ServerBuilt-in MCP server for ArcadeDB multi-model databaseMCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS37 / 100 · D79 / 100 · B75 / 100 · B
Reliability4 / 2012 / 2012 / 20
Security and permissions5 / 2018 / 2016 / 20
Maintenance15 / 2017 / 2014 / 20
Documentation7 / 2017 / 2018 / 20
Setup experience6 / 2015 / 2015 / 20
Best for
  • AI integrations needing multi-model data support
  • Developers who want to query and manage databases directly from AI assistants
  • Applications using ArcadeDB as their backend database
  • 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 don't need database functionality
  • MCP clients that require non-stdio transports (e.g., SSE or HTTP)
  • Users not interested in ArcadeDB itself and just want a generic database MCP
  • 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
  • Database read and write access
  • Create and manage databases, indexes, and schemas
  • Execute queries and manage data models
  • 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
  • Potential exposure of sensitive data if misconfigured
  • Database operations could lead to data loss or corruption; handle with care
  • As a database server, ensure network access control and authentication mechanisms are in place
  • 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
Tools0427