MCP Debug
MCP Debug is a debugging and development tool for Model Context Protocol servers, supporting hot replacement, session recording and playback, and proxy functions, helping developers quickly test and debug MCP servers.
2 points
0

What is MCP Debug?

MCP Debug is a development and debugging tool specifically designed for Model Context Protocol (MCP) servers. It acts like an intelligent intermediary, connecting MCP clients (such as AI assistants) and MCP servers, providing powerful functions like hot replacement, session recording, and playback testing, enabling developers to build and test MCP servers more easily.

How to use MCP Debug?

Using MCP Debug is very simple: First, install it through the command-line tool. Then, create a configuration file to define your MCP server. Finally, start the proxy mode. MCP Debug will take over the communication between the client and the server, allowing you to monitor and record sessions in real-time, and even update the server without restarting the client.

Use cases

MCP Debug is particularly suitable for the following scenarios: 1. Debugging and testing during the development of MCP servers 2. Updating the server without interrupting the client 3. Recording and replaying MCP interactions for regression testing 4. Managing the development and testing of multiple MCP servers simultaneously

Main Features

Hot Replacement Development
Replace the server binary file without disconnecting the MCP client. Support dynamically adding/removing servers while keeping the tool names unchanged, achieving seamless updates.
Session Recording and Playback
Record all JSON-RPC communications for debugging and documentation. Support playback testing of the server in client mode and playback testing of the client in server mode, facilitating regression testing.
Development Proxy
Aggregate multiple servers and support tool prefixes. Monitor the connection status in real-time, provide a management API to control the server lifecycle, and have a complete logging system.
Multi-language Support
Support installation methods for Python, Node.js, and Go. Provide a unified command-line interface, making it convenient for developers with different technology stacks to use.
Advantages
Improve development efficiency: The hot replacement feature allows developers to test new versions without restarting the client.
Facilitate debugging: The complete session recording and playback functions help locate problems.
Manage multiple servers: Can manage the development and testing of multiple MCP servers simultaneously.
Cross-platform support: Support multiple programming languages and installation methods.
Reduce testing costs: Automated playback testing reduces the workload of manual testing.
Limitations
Learning curve: Requires understanding the basic concepts of the MCP protocol.
Configuration complexity: Configuring multiple servers may require a certain learning cost.
Performance overhead: The proxy mode introduces additional network latency.
Dependency environment: Requires correct configuration of the MCP client and server environment.

How to Use

Install MCP Debug
Choose the appropriate installation method according to your development environment. It is recommended to use the Python uvx tool because it is the simplest and fastest.
Create a Configuration File
Create a YAML configuration file to define the MCP server you want to debug. It can contain multiple server configurations.
Start the Proxy Mode
Start the MCP Debug proxy using the configuration file. It will act as an intermediary to connect the client and the server.
Connect the MCP Client
Connect your MCP client (such as mcp-tui) to the MCP Debug proxy instead of directly connecting to the MCP server.
Use the Management Tool
Use the management tool provided by MCP Debug in the client to dynamically manage the server, such as adding, removing, and disconnecting.

Usage Examples

Develop a File System MCP Server
Use MCP Debug for real-time debugging and testing when developing a file system MCP server.
Hot Update the Code Search Server
When updating the code search MCP server, test the new version without disconnecting the client.
Record and Play Back a Debugging Session
Record a complex debugging session and then play it back to verify whether the server fix is correct.
Multi-server Integration Testing
Test the integration of the file system and code search MCP servers simultaneously.

Frequently Asked Questions

What is the difference between MCP Debug and a regular MCP server?
How does the hot replacement feature work?
Do I need to modify the existing MCP server code to use MCP Debug?
What information does the session recording file contain?
Does MCP Debug affect performance?
Which MCP clients are supported?
How to debug problems with MCP Debug itself?

Related Resources

MCP Official Documentation
Official documentation and specifications of the Model Context Protocol
GitHub Repository
Source code and issue tracking of MCP Debug
MCP Server Examples
Official example code of MCP servers
List of MCP Clients
List of clients supporting the MCP protocol and usage guides
Problem Feedback and Discussion
Report problems, propose feature suggestions, or participate in discussions

Installation

Copy the following command to your Client for configuration
Note: Your key is sensitive information, do not share it with anyone.

Alternatives

V
Vestige
Vestige is an AI memory engine based on cognitive science. By implementing 29 neuroscience modules such as prediction error gating, FSRS - 6 spaced repetition, and memory dreaming, it provides long - term memory capabilities for AI. It includes a 3D visualization dashboard and 21 MCP tools, runs completely locally, and does not require the cloud.
Rust
5.5K
4.5 points
B
Better Icons
An MCP server and CLI tool that provides search and retrieval of over 200,000 icons, supports more than 150 icon libraries, and helps AI assistants and developers quickly obtain and use icons.
TypeScript
6.7K
4.5 points
A
Assistant Ui
assistant - ui is an open - source TypeScript/React library for quickly building production - grade AI chat interfaces, providing composable UI components, streaming responses, accessibility, etc., and supporting multiple AI backends and models.
TypeScript
6.4K
5 points
A
Apify MCP Server
The Apify MCP Server is a tool based on the Model Context Protocol (MCP) that allows AI assistants to extract data from websites such as social media, search engines, and e-commerce through thousands of ready-to-use crawlers, scrapers, and automation tools (Apify Actors). It supports OAuth and Skyfire proxy payment and can be integrated into MCP clients such as Claude and VS Code through HTTPS endpoints or local stdio.
TypeScript
7.6K
5 points
R
Rsdoctor
Rsdoctor is a build analysis tool specifically designed for the Rspack ecosystem, fully compatible with webpack. It provides visual build analysis, multi - dimensional performance diagnosis, and intelligent optimization suggestions to help developers improve build efficiency and engineering quality.
TypeScript
9.4K
5 points
N
Next Devtools MCP
The Next.js development tools MCP server provides Next.js development tools and utilities for AI programming assistants such as Claude and Cursor, including runtime diagnostics, development automation, and document access functions.
TypeScript
10.8K
5 points
T
Testkube
Testkube is a test orchestration and execution framework for cloud-native applications, providing a unified platform to define, run, and analyze tests. It supports existing testing tools and Kubernetes infrastructure.
Go
6.5K
5 points
M
MCP Windbg
An MCP server that integrates AI models with WinDbg/CDB for analyzing Windows crash dump files and remote debugging, supporting natural language interaction to execute debugging commands.
Python
10.6K
5 points
N
Notion Api MCP
Certified
A Python-based MCP Server that provides advanced to-do list management and content organization functions through the Notion API, enabling seamless integration between AI models and Notion.
Python
20.4K
4.5 points
M
Markdownify MCP
Markdownify is a multi-functional file conversion service that supports converting multiple formats such as PDFs, images, audio, and web page content into Markdown format.
TypeScript
34.3K
5 points
G
Gitlab MCP Server
Certified
The GitLab MCP server is a project based on the Model Context Protocol that provides a comprehensive toolset for interacting with GitLab accounts, including code review, merge request management, CI/CD configuration, and other functions.
TypeScript
25.4K
4.3 points
D
Duckduckgo MCP Server
Certified
The DuckDuckGo Search MCP Server provides web search and content scraping services for LLMs such as Claude.
Python
72.7K
4.3 points
U
Unity
Certified
UnityMCP is a Unity editor plugin that implements the Model Context Protocol (MCP), providing seamless integration between Unity and AI assistants, including real - time state monitoring, remote command execution, and log functions.
C#
31.1K
5 points
F
Figma Context MCP
Framelink Figma MCP Server is a server that provides access to Figma design data for AI programming tools (such as Cursor). By simplifying the Figma API response, it helps AI more accurately achieve one - click conversion from design to code.
TypeScript
65.4K
4.5 points
G
Gmail MCP Server
A Gmail automatic authentication MCP server designed for Claude Desktop, supporting Gmail management through natural language interaction, including complete functions such as sending emails, label management, and batch operations.
TypeScript
21.0K
4.5 points
M
Minimax MCP Server
The MiniMax Model Context Protocol (MCP) is an official server that supports interaction with powerful text-to-speech, video/image generation APIs, and is suitable for various client tools such as Claude Desktop and Cursor.
Python
48.6K
4.8 points
AIBase
Zhiqi Future, Your AI Solution Think Tank
© 2026AIBase