mcp-use-ts — security grade SAFE, quality 46/100

Security audit verdict: SAFE · quality 46/100

No red flags found in any of the 11 categories — no credential harvesting, no data exfiltration, no curl-pipe-shell installer. Scanned against the SlowMist agent-security taxonomy, refreshed every 8 hours. Full audit →

by mcp-use · MCP Server · ★ 171

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

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About mcp-use-ts

Repository moved to monorepo https://github.com/mcp-use/mcp-use

agentlangchainllmmcpmcp-clientmcp-servermodelcontextprotocoltypescript

Quick Facts

Stars171
Forks34
LanguageTypeScript
CategoryMCP Server
Quality Score46.3147076704965/100
Open Issues21
Last Updated2026-05-21
Created2025-04-20
Platformscli, mcp, node
Est. Tokens~1715k

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Frequently Asked Questions

What is mcp-use-ts?

mcp-use-ts is mcp-use is the framework for MCP with the best DX - Build AI agents, create MCP servers with UI widgets, and debug with built-in inspector. Includes client SDK, server SDK, React hooks, and powerful. It is categorized as a MCP Server with 171 GitHub stars.

What programming language is mcp-use-ts written in?

mcp-use-ts is primarily written in TypeScript. It covers topics such as agent, langchain, llm.

How do I install or use mcp-use-ts?

You can find installation instructions and usage details in the mcp-use-ts GitHub repository at github.com/mcp-use/mcp-use-ts. The project has 171 stars and 34 forks, indicating an active community.

What are the best alternatives to mcp-use-ts?

The top alternatives to mcp-use-ts on Agent Skills Hub include vscode-mcp, octocode-mcp, context-space. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

How this security grade is produced

Grades come from a rule-based scan built on the SlowMist agent-security taxonomy, covering 11 red-flag categories including credential harvesting, data exfiltration, and curl | sh installers. 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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