This MCP server manages Debug Adapter Protocol sessions, leveraging MCP to optimize context and streamline debugging workflows with flexible configurations and rich debugging tools.
Added on:
Created by:
Apr 01 2025
This MCP server manages Debug Adapter Protocol sessions, leveraging MCP to optimize context and streamline debugging workflows with flexible configurations and rich debugging tools.
Added on:
Created by:
Apr 01 2025
KashunCheng
Featured
What is Model Context Protocol (MCP) server for debugging workflows?
This MCP server provides a standardized framework for interacting with debuggers via the Debug Adapter Protocol, using MCP to extend large language models' context window. It offers integrated debugging functionalities such as setting/removing breakpoints, controlling execution flow, evaluating expressions, and viewing source code. The system is highly configurable via JSON files, allowing customization of debugger types, source directories, and parameters. Its design supports extension to various DAP servers, facilitating versatile debugging environments. Main features include protocol integration, rich debugging tools, flexible setup, and extendability, aimed at improving debugging efficiency and model interaction in development workflows.
Who will use Model Context Protocol (MCP) server for debugging workflows?
- Software developers
- Debugging engineers
- QA analysts
- IDEs and debugging tools developers
How to use the Model Context Protocol (MCP) server for debugging workflows?
- Step1: Install the MCP server and dependencies using pip.
- Step2: Prepare a JSON configuration file with debugger and source settings.
- Step3: Launch the MCP server with the command `python -m dap_mcp --config config.json` or using uv.
- Step4: Connect the MCP client to the server for debugging sessions.
- Step5: Use MCP tools like set_breakpoint, continue_execution, evaluate, etc., to manage debugging sessions.
Model Context Protocol (MCP) server for debugging workflows's Core Features & Benefits
The Core Features
- Interact with debuggers via Debug Adapter Protocol
- Set, list, and remove breakpoints
- Control execution flow (continue, step in/out/next)
- Evaluate expressions
- Change stack frames
- View source code around specific lines
- Flexible debugger configuration
- Extendable support for multiple DAP servers
The Benefits
- Standardized debugging workflow integration
- Enhanced context management for large language models
- Customizable debugging environment
- Streamlined debugging processes
- Support for various debugging tools and protocols
Model Context Protocol (MCP) server for debugging workflows's Main Use Cases & Applications
- Automated debugging workflows for large codebases
- Educational platforms demonstrating debugging procedures
- Development of IDE debugging plugins
- Automated QA testing with runtime analysis
FAQs of Model Context Protocol (MCP) server for debugging workflows
Developer
- KashunCheng
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