Developer Tools MCP Servers

- MCP server for Typst, a markup-based typesetting system. It provides tools for converting between LaTeX and Typst, validating Typst syntax, and generating images from Typst code.

Async Python client for the Model Context Protocol with interactive CLI and reactive Web UI, connecting AI models to MCP servers via stdio and SSE

deprecated: use the official MCP sdk! (https://github.com/modelcontextprotocol/go-sdk) / A type-safe, intuitive Go SDK for building MCP servers with ease and confidence

ReActMCP is a reactive MCP client that empowers AI assistants to instantly respond with real-time, Markdown-formatted web search insights powered by the Exa API.

Example implementation of MCP Streamable HTTP client/server in Python and TypeScript.

JetBrains MCP Server Plugin

If it's on the screen, it's an API. Control any desktop app via REST + MCP. Rust.

SwiftLens is a Model Context Protocol (MCP) server that provides deep, semantic-level analysis of Swift codebases to any AI models. By integrating directly with Apple's SourceKit-LSP, SwiftLens enables AI models to understand Swift code with compiler-grade accuracy.

MCP server for searching GitHub discussions, issues, and pull requests

A complete Sigma detection toolkit: parser, linter, evaluator, correlation engine, conversion framework, streaming daemon, MCP and LSP servers :crab:

The missing human checkpoint for AI coding agents. Give your AI agent a "pause & ask" button — review, correct, or enrich every step before it runs.

Kollektiv MCP enables you to chat with and query your own documents directly from IDEs and MCP clients. Private, secure, and integrated into your favorite code editor

RedTeam-Agent: AI-Powered Autonomous Red Team Framework via Model Context Protocol. AI红队与内网渗透自动化框架，支持 gogo, fscan, httpx, nuclei, impacket, playwright 等 15+ 渗透工具，让 LLM 直接化身安全审计黑客。

TalkiTo lets developers interact with AI systems through speech across multiple channels (terminal, API, phone). It can be used as both a command-line tool and a Python library.

MCP Cheat Engine Server — provides safe, structured read-only access to memory analysis and debugging functionality through the Model Context Protocol (MCP). For developers, security researchers, and game modders.

A Model Context Protocol (MCP) server that provides Zig language tooling, code analysis, and documentation access. This server enhances AI capabilities with Zig-specific functionality including code optimization, compute unit estimation, code generation, and best practices recommendations.

- Arch Linux MCP Server to the Arch Linux ecosystem of the Arch Wiki, AUR, and official repositories for AI-assisted Arch Linux usage on Arch and non-Arch systems. Features include searching Arch Wiki and AUR, getting package info, checking for updates, installing packages securely, and analyzing PKGBUILDs.

X/Twitter research MCP for Claude, Cursor, Windsurf and any MCP-compatible AI agent

Transform feature ideas into production-ready code through systematic Spec-Driven Development 通过系统化的**规格驱动开发**，将功能想法转化为可投入生产的代码

OKX trading MCP CLI cryptocurrency spot futures swap AI agent Model Context Protocol Cursor Claude npm automated trading crypto API toolkit TypeScript open-source DeFi CEX

Serves WPF Dev Pack knowledge topics to AI agents from a local repo clone.

- A Model Context Protocol (MCP) integration that provides Claude Desktop with autonomous browser automation capabilities.

[](https://glama.ai/mcp/servers/kao273183/mk-qa-master) - AI 測試大師 — end-to-end QA loop over MCP. Drives pytest / Jest / Cypress / Go / Maestro from one surface; analyzes URLs (Web DOM) or live mobile screens (`maestro hierarchy`) to extract testable modules, generates runnable pytest or Maestro YAML with real selectors (not `# TODO` stubs), runs with auto-retry, then writes a prioritized `optimization-plan.md` ranked by evidence (flaky vs broken vs coverage gap). Mobile-first: iOS Simulator, Android Emulator, real devices, and BlueStacks (`QA_ANDROID_HOST=127.0.0.1:5555`). Install via `uvx mk-qa-master`.

- A `minimal` server/client MCP implementation using Azure OpenAI and Playwright.