# Debugging Tool

The MCP DAP Server is a Debug Adapter Protocol (DAP) server based on the Model Context Protocol (MCP), providing AI assistants and other MCP clients with the ability to interact with debuggers for multiple programming languages, supporting debugging functions such as breakpoint setting, program control, and status check.

A simple MCP client/server project for implementing weather query functions, supporting two communication methods: STDIO and SSE, and providing the MCP Inspector tool for debugging.

Cocos MCP Log Bridge is a log synchronization tool connecting the Cocos Creator editor and Cursor AI. It provides real - time log transmission, intelligent filtering, and scene management functions to help developers debug efficiently.

An MCP server that provides GDB debugging functionality for AI assistants

Godot MCP is a Model Context Protocol server designed for the Godot game engine, providing functions such as editor control, project execution, and debug output capture, and supporting the interaction between AI assistants and the Godot engine.

The project is a tool for debugging and testing servers, interacting with the local server through a web interface

An MCP service project based on RapidAPI, using the fastmcp framework for server installation and debugging

MCP-Grep is a server implementation that exposes grep functionality through the Model Context Protocol (MCP), providing file search capabilities for clients such as Claude.

This is an example of an MCP server based on Spring Boot, used to interact with AI models and provide a standardized interface to access real - time data and services.

A minimal Anthropic MCP protocol client and server implementation based on Python and Pip for debugging reference in VSCode and Windows environments.

An MCP server that captures and manages stdout logs through the named pipe system, supporting multi - process log collection, real - time monitoring, and query analysis. Suitable for MCP clients such as Cursor IDE.

A tool for testing the MCP server, supporting debugging and running through VSCode and WS.

dap-mcp is a DAP session management tool based on the MCP protocol, aiming to optimize and expand the context window of large language models and improve the debugging workflow.

A code - mode - based Tana knowledge management MCP server. AI interacts with the Tana local API by writing TypeScript code, supporting operations such as workspaces, nodes, tags, fields, calendars, and imports.

RAGFlow MCP is a temporary implementation of an MCP server, providing basic functionality before the official MCP server is released. Two installation methods are provided, and the uv tool is recommended for fast installation and dependency management.

A Python project built with the uv tool for integrating with the Claude desktop application and debugging the MCP service

The AgentOps MCP Server provides observability and tracking data for AI agent operation, which is used for debugging and analyzing the success and failure of agents.

An MCP server for retrieving and analyzing issues from Sentry.io, providing access to debugging information such as error reports and stack traces.

React Native Debugger MCP Service

This project is a JSON-RPC server that encapsulates the OpenAI Codex CLI tool as an MCP service for Claude Code to call. It provides dedicated methods for code generation, explanation, and debugging, supports multiple model selections, and simplifies the integration process between Claude and OpenAI models.

The MCP Log Analysis Server provides cross - platform log reading, filtering, and pagination browsing functions to help debug the interaction issues between Claude and tools.

The MCP server for the cosense project, supporting the page retrieval function

This project demonstrates how to debug the MCP server in VSCode, includes example code for Python and TypeScript, and integrates the MCP Inspector tool for browser testing.

A RapidAPI service implementation project based on FastMCP

An MCP service for JSON document storage based on the Fireproof database

MCP service for PostgreSQL database management, providing analysis, configuration, and debugging functions

The Infisical Model Context Protocol (MCP) is a service protocol that integrates with the Infisical API through function calls. It supports multiple tool operations such as creating, deleting, and updating keys, and provides a debugging tool called MCP Inspector.