fastmcp: A TypeScript framework for building MCP servers

by punkpeye · MCP Server · ★ 3.3k

Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h

How to install fastmcp

npm install fastmcp
git clone https://github.com/punkpeye/fastmcp.git

Taken from the project's README on GitHub. Check the security audit before running it.

Security audit verdict: SAFE · quality 69/100

None of the 42 rules matched — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against 42 published rules built on the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

The quality score combines nine heuristic checks of the repo and its README: completeness, clarity, specificity, examples, structure, agent readiness, step-by-step content, instruction quality and security notes. It rates how well the project explains itself to an agent, not the code.

mcpsse

Quick Facts

Stars3,277
Forks332
LanguageTypeScript
CategoryMCP Server
LicenseMIT
Quality Score69/100
Open Issues1
Last Updated2026-10-23
Created2024-12-27
Platformsmcp, node
Est. Tokens~26k

About fastmcp

FastMCP A TypeScript framework for building MCP servers capable of handling client sessions. [!NOTE] For a Python implementation, see FastMCP. Features Simple Tool, Resource, Prompt definition Authentication Passing headers through context Session ID and Request ID tracking Sessions Image content Audio content Embedded Logging Error handling HTTP Streaming (with SSE compatibility) HTTPS Support...

Compatible Skills

These tools work well together with fastmcp for enhanced workflows:

  • mcpso — semantic(0.51)+same_lang+similar_pop+shared_platform (48%)
  • mcp-use — semantic(0.35)+same_lang+similar_pop+shared_platform (47%)
  • composio — semantic(0.17)+rare_topics+same_lang+similar_pop+shared_platform (45%)

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How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy: 42 published rules, covering credential harvesting, data exfiltration, curl | sh installers and more. It is a first-layer scan, not a manual audit — we say so rather than overstate it.

The scale of the problem is documented independently: Liu et al. (2026), in a study of 31,132 agent skills, report that 26.1% contain security vulnerabilities. Our own full-catalog census is published as a citable open dataset.

Sources & who's responsible:

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