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  3. MCP Debugger
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Health: ActiveRecent health check succeeded.Last checked 10/14/2026, 7:47:11 PM

MCP Debugger

InstallableWe know how to install it, but have not yet seen it complete a handshake. User RatingsBe the first to rate and review this MCP server!
View Repository177 GitHub StarsTotal stargazers on GitHub for the source repository (177 stars).Visit Website
debuggingdeveloper-toolsdapremote-debuggingai-agents

Headless MCP debugging for running programs with breakpoints, stepping, variables, output capture, and remote attachment.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "mcp-debugger-2": {
      "command": "npx",
      "args": [
        "-y",
        "@debugmcp/mcp-debugger"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Overview

The mcp-debugger MCP server exposes step-through debugging to AI agents through structured MCP tool calls. It drives language-specific debuggers through the Debug Adapter Protocol, supporting launch, attach, breakpoints, stepping, variable inspection, expression evaluation, and output capture. It runs over stdio or Streamable HTTP without requiring an IDE, making it suitable for CI, containers, Kubernetes, SSH hosts, and cloud coding environments. Reach for it when an agent needs to debug a running process or attach to a remote target.

Use cases

β€’Debug a failing service in a CI runner
β€’Attach an agent to a process in a container or Kubernetes pod
β€’Inspect variables after an uncaught exception
β€’Watch changing values with non-pausing logpoints
β€’Let an IDE inspect an agent-controlled debugging session

Key features

β€’DAP-based debugging across ten language environments
β€’Launch and remote-attach workflows
β€’Content- and function-addressed breakpoints
β€’Variable inspection and expression evaluation
β€’Buffered output and subscribable session transcripts
β€’Stdio and Streamable HTTP transports

Capabilities & Tool Schemas

Inspect callable tools, capabilities, and parameters exposed to AI agents by MCP Debugger.

Extracted Tool Capabilities
DAP-based debugging across ten language environments
Launch and remote-attach workflows
Content- and function-addressed breakpoints
Variable inspection and expression evaluation
Buffered output and subscribable session transcripts
Stdio and Streamable HTTP transports

How MCP Debugger works

What the mcp-debugger MCP server does

The mcp-debugger MCP server gives an AI agent control of live debugging sessions through MCP tools. It can launch programs, attach to existing processes, pause execution, continue, step through code, inspect stack frames and variables, and evaluate expressions. Sessions can also expose program stdout and stderr through buffered output retrieval and a subscribable MCP resource.

Supported debugging environments cover Python, JavaScript and TypeScript, Ruby, Rust, Go, Java, .NET, C and C++, COBOL, and Dart/Flutter. The exact launch and attach options depend on the language adapter. For example, Python uses debugpy, Ruby uses rdbg, Go uses Delve, Java uses a JDI bridge, and C/C++ uses CodeLLDB. The Dart and Flutter workflows use the SDK-provided debug adapters rather than a vendored debugger.

How it works

The server translates MCP requests into Debug Adapter Protocol operations or language-specific attach workflows. It can run as a standalone Node.js process, so an IDE is not required. Remote attachment is available for several runtimes through a host and port, VM-service URI, JDWP, or similar connection; native C/C++ and COBOL targets can also be attached by process ID. Kubernetes workflows include port-forward attachment for interpreted runtimes and kubectl debug --target for native processes.

Breakpoints may be addressed by source location, matching statement content, or function name. An expectedContent check can validate that a line still contains the intended code, while content and function anchors can be resolved again after a restart. Logpoints use a logMessage template to record interpolated values without stopping execution. Sessions pause on uncaught exceptions by default, exposing the exception information, stack, and local state.

Setup and configuration

The package can be distributed with npm or npx, and a Docker image is available. It runs anywhere Node.js runs, including CI runners, containers, Kubernetes pods, SSH machines, and agent sandboxes. The server supports stdio and Streamable HTTP transports. Its HTTP transport is locked to loopback and checks Host and Origin headers.

Language-specific prerequisites vary. Java requires JDK 21 or newer, .NET uses netcoredbg, and Dart or Flutter debugging requires the corresponding SDK. JavaScript, C/C++, and COBOL debug engines ship with the package. Rust support uses CodeLLDB, with Windows requiring the GNU toolchain. The list_supported_languages tool reports availability and reasons for unavailable modes. A doctor command is also provided for environment checks.

Tools and capabilities

The mcp-debugger MCP server includes tools and capabilities for:

  • Creating and controlling launch or attach sessions.
  • Setting, listing, removing, and clearing breakpoints while a session runs.
  • Restarting a session and reapplying its breakpoint configuration.
  • Stepping, continuing, pausing, and inspecting stack frames and variables.
  • Evaluating expressions in the current debugging context.
  • Reading buffered debuggee output with a cursor.
  • Listing supported languages and their available modes.
  • Exposing a token-gated, read-only loopback DAP endpoint through expose_session for an IDE mirror.

Read the full README β†’View source on GitHub β†’

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
177
Stargazers on the source repository.
npm downloads
52
Package downloads in the last 30 days.
Last commit
1d ago
Most recent push to the default branch.

Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about MCP Debugger

mcp-debugger is an MCP server that connects AI agents to running programs through language-specific debuggers using DAP. Its main tools set and manage breakpoints, step execution, inspect variables, evaluate expressions, read program output, restart sessions, and attach to remote processes across ten supported language environments.

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
LicenseMIT
ClientsClaude Desktop, Cursor, Cline / VS Code, Windsurf, Claude Code, VS Code (GitHub Copilot), Zed, OpenAI Codex CLI, Gemini CLI, JetBrains AI Assistant, Roo Code, Continue, LM Studio
Last updatedOct 14, 2026
Views0
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars177
GitHub Star CountTotal stargazers on GitHub representing community popularity (177 stars).
Last commit1d ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Oct 12, 2026
npm downloads52/mo
Monthly npm DownloadsAverage monthly package installs recorded from npm registry statistics.
48Quality signal: Fair Β· 48/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership10/20
Documentation & tools16/30
Adoption & activity10/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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