M
MCP Directory CURATED DIRECTORY
911 MCP servers indexed
中文
← Back to directory
COMPARE UP TO 4 SERVERS

Compare MCP servers

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

DimensionMCP redisNatural language interface for managing and searching data in Redis for agentic applications.ChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS60 / 100 · C75 / 100 · B
Reliability6 / 2012 / 20
Security and permissions9 / 2016 / 20
Maintenance14 / 2014 / 20
Documentation17 / 2018 / 20
Setup experience14 / 2015 / 20
Best for
  • AI agents that need to interact with Redis
  • Applications that need natural language management of Redis data
  • Development workflows using MCP clients like Claude Desktop
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Pure data pipelines without a natural language layer
  • Simple KV scenarios without MCP needs
  • Production systems requiring direct Redis for highest performance
  • 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
  • Requires Redis connection credentials (URL, username, password)
  • Can read, write, and delete data in Redis
  • Can create indexes and perform searches
  • 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 operation errors: AI may accidentally delete or overwrite data
  • Credential exposure: Redis credentials could be exposed if misconfigured
  • Resource consumption: Large vector indexes may consume memory
  • 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
Tools1127