Packages

Launcher for debug-mcp-server. This package ensures debugpy is installed and provides instructions to run the main server (Node.js or Docker).

MCP server for interactive debugging

MCP server for VS Code debugging via bridge extension

Cross-platform MCP Server for debuggers (WinDbg/LLDB) with multitenant support and hybrid architecture (MCP + HTTP API)

AI-driven live debugger with MCP bridge for Python, JS, TS, Rust, Java, C/C++

MCP server for Decern CRM — contacts, deals, pipelines, tasks, and approvals.

Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.

Claude Code için karar hafızası — CLI ve MCP server

MCP server for Decision OS - LLM-native decision tracking and learning system

MCP server for Claude Code integration

A simple and performant Model Context Protocol framework for Python.

A Model Context Protocol (MCP) server that provides advanced code analysis and reasoning capabilities powered by Google's Gemini AI

Powerful Model Context Protocol (MCP) implementation for visualizing directory structures with real-time updates, configurable depth, and smart exclusions for efficient project navigation

A minimalist deep research framework for any OpenAI API compatible LLMs.

The Deep Research Assistant is meticulously crafted on Mastra's modular, scalable architecture, designed for intelligent orchestration and seamless human-AI interaction. It's built to tackle complex research challenges autonomously.

MCP server for integrating OpenAI's Deep Research APIs and Hugging Face's Open Deep Research with Claude Code and other AI assistants

A Model Context Protocol (MCP) compliant server designed for comprehensive web research. It uses Tavily's Search and Crawl APIs to gather detailed information on a given topic, then structures this data in a format perfect for LLMs to create high-quality markdown documents.