devtools

MCP server that launches and manages local Claude Code and Codex CLI sub-agents as child processes (no direct Anthropic/OpenAI API).

🐍 🏠 - A line-oriented text file editor. Optimized for LLM tools with efficient partial file access to minimize token usage.

Read-only runtime management panel for the official DeepSeek Harness MCP client: /mcp command, a Settings page MCP tab with connection status, recent errors, reconnect counts and tool inventory (sanitized for display), controlled enable/disable patch sugg

📇 - Connect to VSCode ide and use semantic tools like `find_usages`

📇 ☁️ 🏠 - Token-efficient access to OpenAPI/Swagger specs via MCP Resources.

No description available

All-in-one MCP server that can connect your AI agents to any native endpoint, powered by UTCP

📇 🏠 - A MCP Server that allows AI such as Claude to read from the directory structure in a VS Code workspace, see problems picked up by linter(s) and the language server, read code files, and make edits.

Model Context Protocol server for Markdy diagram validation, transpilation, and generation.

Machine-level setup, healing, and verification kit for your AI agent stack (ruflo/claude-flow, agentic-qe, Claude Code glue) — cross-platform, zero-dependency

📇 ☁️ 🏠 - An ntfy MCP server for sending/fetching ntfy notifications to your self-hosted ntfy server from AI Agents 📤 (supports secure token auth & more - use with npx or docker!)

📇 🏠 - An MCP Server and VS Code Extension which enables (language agnostic) automatic debugging via breakpoints and expression evaluation.

📇 ☁️ 🏠 🍎 🪟 🐧 - Making enterprise AI infrastructure universally accessible. Edge-first platform unifying 12 providers and 100+ models with multi-agent orchestration, HITL workflows, guardrails middleware, and context summarization.

🐍 🏠 - MCP server providing accurate information about NixOS packages, system options, Home Manager configurations, and nix-darwin macOS settings to prevent AI hallucinations.

📇 🦀 🏠 🍎 🐧 🪟 - Persistent intelligence infrastructure for agentic development that gives AI coding assistants cumulative memory and pattern learning. Hybrid TypeScript/Rust implementation with local-first storage using SQLite + SurrealDB for semantic analysis and incremental codebase understanding.

Unified agent and MCP sync CLI for multi-provider AI tooling

🦀 🏠 - Provides up-to-date documentation context for a specific Rust crate to LLMs via an MCP tool, using semantic search (embeddings) and LLM summarization.

TypeScript package for Model Context Protocol (MCP) utilities and tools

A model context protocol server to work with JetBrains IDEs: IntelliJ, PyCharm, WebStorm, etc. Also, works with Android Studio

Create MCP servers directly in your Nuxt application. Define tools, resources, and prompts with a simple and intuitive API.