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Compare MCP servers

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

DimensionShodh-Memory MCP ServerA local, LLM-free cognitive memory MCP server.ChEMBL MCP ServerUnofficial MCP server providing advanced access to the ChEMBL chemical database
FMRS59 / 100 · C75 / 100 · B
Reliability9 / 2012 / 20
Security and permissions11 / 2016 / 20
Maintenance12 / 2014 / 20
Documentation14 / 2018 / 20
Setup experience13 / 2015 / 20
Best for
  • AI agents that need offline, low-latency, local memory.
  • Developers who want to avoid LLM calls during memory storage and recall.
  • Projects requiring persistent memory, knowledge graphs, or Hebbian learning.
  • Teams using Zenoh, ROS2, or robotic mission memory.
  • Drug discovery and computational chemistry researchers
  • Bioinformatics teams needing ChEMBL data through AI assistants
  • Developers comfortable with Node.js or Docker
Not for
  • Users seeking a hosted cloud memory service or built-in multi-tenant authorization.
  • Applications expecting the server itself to perform LLM inference.
  • MCP clients operating without an available local backend.
  • Workflows that only need simple stateless text processing.
  • 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
  • Access to read and write Shodh-Memory's local memory data.
  • Permission to launch the npm package and local MCP server over stdio.
  • Network access to the address specified by SHODH_API_URL when using a remote backend.
  • SHODH_API_KEY when authentication is enabled; this variable is secret.
  • The tools can create, modify, and delete memories, todos, projects, reminders, and backups.
  • 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
  • Memories, todos, projects, and backups may contain sensitive information and persist locally.
  • forget, delete, purge, and backup_restore can cause data loss or overwrite data.
  • For remote deployments, the deployer must protect the API key and network exposure.
  • SHODH_USER_ID is a logical memory namespace, not an authorization tenant.
  • A local model is downloaded on first run, requiring local resources and model storage.
  • 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 Code, Claude Desktop, CursorClaude Desktop
Tools5127