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.MCP ClickHouseConnect ClickHouse to your AI assistantsChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS60 / 100 · C79 / 100 · B75 / 100 · B
Reliability6 / 2012 / 2012 / 20
Security and permissions9 / 2018 / 2016 / 20
Maintenance14 / 2017 / 2014 / 20
Documentation17 / 2017 / 2018 / 20
Setup experience14 / 2015 / 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
  • 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
  • Pure data pipelines without a natural language layer
  • Simple KV scenarios without MCP needs
  • Production systems requiring direct Redis for highest performance
  • 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
  • Requires Redis connection credentials (URL, username, password)
  • Can read, write, and delete data in Redis
  • Can create indexes and perform searches
  • 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 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
  • 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
Tools11427