mcp-server: This MCP server provides documentation about Strands Agents to your GenAI tools, so you can use your favorite

by strands-agents · MCP Server · ★ 296

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

How to install mcp-server

claude mcp add strands uvx strands-agents-mcp-server
npx @modelcontextprotocol/inspector uvx strands-agents-mcp-server

Taken from the project's README on GitHub.

Security audit verdict: SAFE · quality 73/100

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.

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.

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Quick Facts

Stars296
Forks77
LanguagePython
CategoryMCP Server
Quality Score73/100
Open Issues7
Last Updated2026-07-27
Created2025-05-14
Platformsmcp, python
Est. Tokens~6k

About mcp-server

Strands Agents MCP Server A model-driven approach to building AI agents in just a few lines of code. Documentation ◆ <a href="https://github

Compatible Skills

These tools work well together with mcp-server for enhanced workflows:

  • serverless-rag-demo — semantic(0.30)+complementary+rare_topics+same_lang+similar_pop+shared_platform (60%)
  • LiteMultiAgent — semantic(0.17)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • SecGPT — semantic(0.16)+complementary+rare_topics+same_lang+similar_pop+shared_platform (55%)
  • Agentic-AI-Systems — semantic(0.22)+complementary+same_lang+similar_pop+shared_platform (53%)
  • agentic-context-engine — semantic(0.17)+complementary+same_lang+similar_pop+shared_platform (51%)

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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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