awesome-mcp-devtools — security grade SAFE, quality 59/100

Security audit verdict: SAFE · quality 59/100

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 punkpeye · MCP Server · ★ 477

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

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About awesome-mcp-devtools

Awesome MCP DevTools A curated list of developer tools, SDKs, libraries, utilities, and resources for working with Model Context Protocol (MCP) servers. [!IMPORTANT] Browse MCP servers Contents Awesome MCP DevTools Contents Community Legend SDKs JavaScript/TypeScript Python Java Go Rust Kotlin C#/.NET Scala Dart Ruby Elixir C/C++ Swift Bash Frameworks Testing Tools Authorization Testing Libraries Utilities Proxies and Gateways Development Tools Hosting Templates Resources Tutorials Related awesome lists:

devtoolsmcp

Quick Facts

Stars477
Forks257
CategoryMCP Server
LicenseMIT
Quality Score59.1688290446387/100
Open Issues107
Last Updated2026-08-04
Created2025-04-27
Platformsmcp
Est. Tokens~20k

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Frequently Asked Questions

What is awesome-mcp-devtools?

awesome-mcp-devtools is A curated list of developer tools, SDKs, libraries, and testing utilities for Model Context Protocol (MCP) server development.. It is categorized as a MCP Server with 477 GitHub stars.

How do I install or use awesome-mcp-devtools?

You can find installation instructions and usage details in the awesome-mcp-devtools GitHub repository at github.com/punkpeye/awesome-mcp-devtools. The project has 477 stars and 257 forks, indicating an active community.

What license does awesome-mcp-devtools use?

awesome-mcp-devtools is released under the MIT license, making it free to use and modify according to the license terms.

What are the best alternatives to awesome-mcp-devtools?

The top alternatives to awesome-mcp-devtools on Agent Skills Hub include agnix, mcp-toolkit, mcp-devtools. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.

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