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

DimensionAgentic Threat Hunting Framework MCP ServerMemory, structure, and agency for your threat hunting programBioMCPOne binary. One grammar. Evidence from the biomedical sources you already trust.
FMRS60 / 100 · C75 / 100 · B
Reliability9 / 2010 / 20
Security and permissions13 / 2016 / 20
Maintenance12 / 2018 / 20
Documentation13 / 2017 / 20
Setup experience13 / 2014 / 20
Best for
  • Security teams wanting persistent memory and structure for threat hunting
  • Analysts using Claude Code, GitHub Copilot, or Cursor
  • Organizations wiring existing PEAK/TaHiTI processes into AI workflows
  • Biomedical researchers
  • Clinicians
  • AI agents that need efficient access to biomedical literature and data analysis
Not for
  • Enterprises needing an authenticated multi-user remote service out of the box
  • Users expecting a replacement for their SIEM/EDR platform
  • Environments without local workspace file access
  • 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
  • Read the entire ATHF workspace
  • Write/update hunt and research records
  • Some tools invoke LLM agents (at your expense)
  • Bind a local port when using sse or streamable-http transports
  • 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
  • The sse and streamable-http transports bind to 127.0.0.1 and are unauthenticated
  • Every tool reads your whole workspace, risking exposure of sensitive hunt data
  • Some tools invoke LLM agents at your expense
  • A routable interface is bound only when --host is passed, and then an authenticating proxy is required
  • 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 clientsClaude Code, GitHub Copilot, CursorClaude Desktop, Claude Code, Codex, Other MCP stdio clients
Tools011