maf-doctor logo
maf-doctor
★ 14
vs
DebugMCP logo
DebugMCP
★ 573

maf-doctor vs DebugMCP

maf-doctor: MAF Doctor is a comprehensive .NET global tool designed to diagnose, explain, and fix issues within Microsoft Agent Framework (MAF) applications. It offers a powerful CLI, an MCP server for AI assistants like Copilot, and Roslyn analyzers, enabling both automated fixes and cross-framework migrations from Semantic Kernel to MAF.; DebugMCP: DebugMCP empowers AI coding agents with full control over the VS Code debugger, allowing them to autonomously set breakpoints, step through code, inspect variables, and evaluate expressions. It runs 100% locally, requires zero configuration, and works seamlessly with any MCP-compatible AI assistant across various programming languages.

01

TL;DR

maf-doctor logo
maf-doctorDev Tooling · ★ 14

Diagnosing and identifying silent runtime failures in MAF agent workflows that pass compilation.

DebugMCP logo
DebugMCPDev Tooling · ★ 573

Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly.

02

Side-by-Side Comparison

Field
maf-doctor logomaf-doctor
DebugMCP logoDebugMCP
Category
Dev Tooling
Dev Tooling
Stars
★ 14
★ 573
License
MIT
MIT
Install Command
dotnet tool install --global maf-doctor && cd your-maf-project && maf-doctor init
vscode:extension/ozzafar.debugmcpextension
Updated
4d ago
2d ago
Open Source
Yes
Yes
Tags
Microsoft Agent Framework, .NET Global Tool, Code Analysis
AI Agents, Debugging, VS Code Extension
03

Features

maf-doctor logomaf-doctor
01Catches bugs that compile clean, such as silent fan-out/fan-in failures in workflows.
02Provides compiler-ground truth for CS0618 obsolete-API warnings, mapping them to canonical fixes.
03Offers cross-framework migration assistance from Semantic Kernel to MAF, including scanning and guided porting.
04Supports a fully agentic loop for auditing, planning, and executing fixes with AI assistants.
05Self-updating knowledge base ensures it always has the latest MAF migration and compatibility information.
DebugMCP logoDebugMCP
01AI-powered debugging capabilities including setting breakpoints, stepping through code, inspecting variables, and evaluating expressions.
02Cross-agent 'debug-live' skill installation for systematic debugging workflows, discoverable by various AI agent harnesses.
03Support for pausing running programs at current location even without breakpoints, enabling inspection of state.
04Robust debugging via VS Code Testing API, ensuring consistent breakpoint hits in individual test cases.
05Secure communication, local operation, state validation, and secret redaction for enhanced reliability and privacy.
04

Use Cases

maf-doctor logomaf-doctor
↳Diagnosing and identifying silent runtime failures in MAF agent workflows that pass compilation.
↳Migrating existing Semantic Kernel applications to the Microsoft Agent Framework.
↳Auditing MAF codebases against current best practices and fixing anti-patterns.
↳Automating the resolution of CS0618 obsolete-API warnings with deterministic fixes.
↳Scaffolding new MAF agents and workflows with built-in best practices.
DebugMCP logoDebugMCP
↳Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly.
↳Streamlining the debugging of unit tests across different languages by launching tests via the VS Code Testing API.
↳Enabling AI agents to efficiently understand execution flow, variable states, and expressions in complex applications.
↳Providing an interactive debugging experience for AI assistants, mimicking human developer workflows in VS Code.
↳Diagnosing issues in busy loops or embedded systems by pausing execution at any point to inspect state.
05

Best For

maf-doctor logomaf-doctor
—
DebugMCP logoDebugMCP
TrendingHidden Gem
FAQ

FAQ

What is the difference between maf-doctor and DebugMCP?
Both maf-doctor and DebugMCP are in the Dev Tooling category. maf-doctor has 14 stars, while DebugMCP has 573 stars.
Which is better, maf-doctor or DebugMCP?
The best choice depends on your use case. Choose maf-doctor if Diagnosing and identifying silent runtime failures in MAF agent workflows that pass compilation., and DebugMCP if Automating root cause analysis for code issues by enabling AI agents to interact with the debugger directly..
Is maf-doctor free or open source?
Yes, maf-doctor is open source on GitHub (MIT).
Is DebugMCP free or open source?
Yes, DebugMCP is open source on GitHub (MIT).
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