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AI Agent for MCP Server GDB

Integrate AI-driven debugging into your remote development workflow with the MCP Server GDB protocol server. Manage GDB debug sessions, control program execution, and leverage multi-session support for efficient, scalable remote debugging. Stack inspection, breakpoint management, and real-time variable viewing are streamlined for maximum productivity.

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Remote GDB Debugging with AI Assistance

Easily create and manage GDB debugging sessions remotely. Set and manage breakpoints, view stack information and variables, and control execution in real time. The AI assistant streamlines session management, providing intelligent recommendations and multi-session support for complex debugging tasks.

Session Management.
Quickly create, retrieve, and close GDB debugging sessions using AI-guided workflows.
Breakpoint Control.
Set, manage, and delete breakpoints efficiently to streamline your debugging process.
Execution Control.
Run, pause, step into, or continue program execution with intuitive controls and automation.
Real-Time Variable Inspection.
View stack variables and registers instantly for thorough debugging insights.
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Multi-Session & Concurrent Debugging

Boost productivity with support for concurrent multi-session debugging. Manage multiple debugging sessions simultaneously and inspect agent behavior through a built-in TUI for improved prompt engineering and workflow analysis.

Concurrent Sessions.
Debug multiple applications or microservices in parallel, reducing context-switching and development time.
Built-in TUI.
Inspect and analyze agent behavior visually to fine-tune AI prompt responses and debugging actions.
Fast Switching.
Seamlessly move between active sessions for comprehensive multi-project debugging.
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Flexible Server Configuration

Customize your debugging environment by configuring server IP, port, and GDB command timeouts via environment variables or config files. Choose between Stdio and SSE transports to fit your workflow, ensuring secure and reliable debugging sessions from anywhere.

Configurable Environment.
Adjust server IP, port, and timeouts for optimal integration with your infrastructure.
Flexible Transport Modes.
Choose between Stdio or SSE protocols for seamless local or remote debugging.

MCP INTEGRATION

Available GDB MCP Integration Tools

The following tools are available as part of the GDB MCP integration:

create_session

Create a new GDB debugging session for remote application debugging.

get_session

Retrieve information about a specific GDB debug session by its identifier.

get_all_sessions

List all active GDB debug sessions currently managed by the server.

close_session

Close and terminate an existing GDB debug session.

start_debugging

Initiate debugging in a session, allowing code execution to begin under debugger control.

stop_debugging

Stop the debugging process, halting execution in the current session.

continue_execution

Resume program execution after a pause or breakpoint.

step_execution

Step into the next line of code during debugging for detailed inspection.

next_execution

Step over the next line of code, continuing execution without entering functions.

get_breakpoints

Retrieve a list of all breakpoints currently set in the debugging session.

set_breakpoint

Set a new breakpoint at a specified location in the target program.

delete_breakpoint

Remove a breakpoint from the current debugging session.

get_stack_frames

Get information on stack frames to inspect the call stack during debugging.

get_local_variables

Retrieve local variable values for the current stack frame.

get_registers

Fetch the current values of processor registers for the debugged process.

read_memory

Read and return memory contents from the debugged application at specified locations.

Supercharge Remote Debugging with MCP Server GDB

Experience seamless multi-session debugging, AI-assisted workflows, and advanced GDB/MI protocol support. Try MCP Server GDB for efficient and intelligent remote application debugging.

MCP Server GDB GitHub repository landing page

What is MCP Server GDB by Pansila

MCP Server GDB, developed by Pansila, is a specialized protocol server built to expose the GDB/MI (Machine Interface) debugging capabilities through the MCP protocol. This server is designed for remote application debugging, allowing users, including AI assistants, to interact with and control the GNU Debugger (GDB) via a modern API. The core of MCP Server GDB is based on the Axum framework, which ensures high performance and scalability. The server is particularly valuable for developers and organizations that need to automate, monitor, or remotely debug applications in a secure and efficient way. By abstracting native GDB commands into a RESTful API interface, it simplifies integration into automated workflows, CI/CD pipelines, and diverse development environments.

Capabilities

What we can do with MCP Server GDB

MCP Server GDB allows users to remotely interact with and control GDB instances, making debugging workflows more accessible and automatable. Here are some of the main capabilities you get with this service:

Remote Debugging
Connect to and manage GDB sessions on remote servers for debugging applications without physical access.
RESTful API Integration
Integrate debugging commands and workflows into CI/CD pipelines or custom development tools using simple HTTP requests.
AI Assistant Support
Empower AI agents or bots to automatically diagnose, control, and resolve application issues using GDB.
Multi-User Collaboration
Enable multiple users or systems to coordinate on debugging sessions securely and efficiently.
Scalable Framework
Leverage the Axum-based backend for high-concurrency, fast, and reliable debugging operations across different environments.
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How AI Agents Benefit from MCP Server GDB

AI agents can use MCP Server GDB to interact programmatically with complex debugging environments. This enables them to automate diagnostic tasks, extract insights from running applications, and even perform autonomous debugging actions. The RESTful API abstraction allows AI-driven workflows to seamlessly integrate advanced debugging capabilities, reducing developer burden and increasing reliability.