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Compare scores, permissions, risks, and fit in one decision-focused table.

DimensionNeo4j Data Modeling MCP ServerCreate, validate, and visualize Neo4j graph data modelsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS51 / 100 · D75 / 100 · B
Reliability8 / 2012 / 20
Security and permissions10 / 2016 / 20
Maintenance13 / 2014 / 20
Documentation9 / 2018 / 20
Setup experience11 / 2015 / 20
Best for
  • Neo4j users who want to design and validate graph models before committing them
  • Developers doing graph data modeling from MCP-compatible clients
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Teams requiring official Neo4j product support or SLAs
  • Production environments requiring backwards-compatibility guarantees
  • 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
  • Runs locally over stdio using local machine resources
  • 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
  • Neo4j Labs project with frequently updated experimental features and no guarantees around backwards compatibility or deprecation
  • Not supported by the Neo4j product team
  • Importing/exporting models from Arrows.app may send model data to an external service
  • 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
Tools027