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Compare MCP servers

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

DimensionCherry StudioDesktop client supporting multiple LLM providersBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS30 / 100 · D75 / 100 · B
Reliability5 / 2010 / 20
Security and permissions5 / 2016 / 20
Maintenance10 / 2018 / 20
Documentation5 / 2017 / 20
Setup experience5 / 2014 / 20
Best for
  • Desktop users who want to manage multiple LLM providers in one place
  • Productivity users who need versatile AI assistants and document processing
  • Developers who want to use a local client and connect external services via MCP
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • As a standalone MCP server providing API services
  • Users who don't need a desktop app and only want a pure MCP server
  • Teams requiring cloud-hosted or collaborative features (consider Enterprise Edition)
  • Users needing to write to upstream databases (read-only)
  • Users requiring direct access to closed datasets (e.g., COSMIC is not directly integrated)
  • Users expecting all advanced features without API keys
Required permissions
  • Access to local file system for reading documents (for processing)
  • Network access to connect to LLM APIs and AI web services
  • Configuration and interaction with MCP servers (e.g., via stdio)
  • Optional WebDAV access for backups
  • Requires internet access to query public biomedical APIs
  • Optional API keys (NCBI, Semantic Scholar, OpenFDA, etc.) to improve rate limits or unlock features
  • Local read/write access for skills, cache, and local study data (e.g., `~/.local/share/biomcp`)
Risks and side effects
  • Users manage their own API keys, which could be leaked if not handled securely
  • Data may be sent to external servers when using third-party AI services
  • Misconfigured MCP servers could lead to data exposure or unintended actions
  • As an AGPL-3.0 licensed open-source project, modifications and distribution must comply with the license terms
  • Upstream API rate limits may affect performance
  • Some data sources (e.g., KEGG) have licensing terms that restrict non-academic use
  • Features requiring API keys (e.g., OncoKB) may be incomplete without them
  • Local binary installations need regular updates for compatibility
Supported clientsCherry StudioClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools011