agentic-debugger
by iarmankhan
Agentic Debugger: MCP server for interactive debugging with code instrumentation, empowering AI coding assistants to ins
β 1
GitHub stars
What it does
Enables AI coding assistants to debug code by inserting temporary logging instruments that capture variable values at runtime. Works with JavaScript, TypeScript, and Python across multiple AI coding tools.
About
agentic-debugger is a community-built MCP server published by iarmankhan that provides AI assistants with tools and capabilities via the Model Context Protocol. Agentic Debugger: MCP server for interactive debugging with code instrumentation, empowering AI coding assistants to ins It is categorized under developer tools. This server exposes 7 tools that AI clients can invoke during conversations and coding sessions.
How to install
You can install agentic-debugger in your AI client of choice. Use the install panel on this page to get one-click setup for Cursor, Claude Desktop, VS Code, and other MCP-compatible clients. This server runs locally on your machine via the stdio transport.
License
MIT
agentic-debugger is released under the MIT license. This is a permissive open-source license, meaning you can freely use, modify, and distribute the software.
Readme
Frequently Asked Questions
- What is the agentic-debugger MCP server?
- agentic-debugger is a Model Context Protocol (MCP) server profile on explainx.ai. MCP lets AI hosts (e.g. Claude Desktop, Cursor) call tools and resources through a standard interface; this page summarizes categories, install hints, and community ratings.
- How do MCP servers relate to agent skills?
- Skills are reusable instruction packages (often SKILL.md); MCP servers expose live capabilities. Teams frequently combine bothβskills for workflows, MCP for APIs and data. See explainx.ai/skills and explainx.ai/mcp-servers for parallel directories.
- How are reviews shown for agentic-debugger?
- This profile displays 30 aggregated ratings (sample rows for discoverability plus signed-in user reviews). Average score is about 4.6 out of 5βverify behavior in your own environment before production use.
Use Cases
Extended AI Capabilities
Add new capabilities to Claude beyond text generation
Example
Access external data sources, execute code, interact with tools and services
Transform Claude from chatbot to action-taking agent
Context Enhancement
Provide Claude with access to relevant context and data
Example
Load project documentation, access knowledge bases, query databases
Get more accurate, context-aware responses
Workflow Automation
Automate multi-step workflows combining AI and external tools
Example
Research β Summarize β Create document β Send notification
Complete complex tasks end-to-end without manual steps
Discussion
Comments β not star reviews- No comments yet β start the thread.
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Ratings
4.6β β β β β 30 reviews- β β β β β Chaitanya PatilΒ· Dec 24, 2024
Strong directory entry: agentic-debugger surfaces stars and publisher context so we could sanity-check maintenance before adopting.
- β β β β β Liam NasserΒ· Dec 20, 2024
I recommend agentic-debugger for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
- β β β β β Sakura TaylorΒ· Nov 19, 2024
agentic-debugger has been reliable for tool-calling workflows; the MCP profile page is a good permalink for internal docs.
- β β β β β Piyush GΒ· Nov 15, 2024
agentic-debugger is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- β β β β β Yusuf MartinezΒ· Nov 11, 2024
We evaluated agentic-debugger against two servers with overlapping tools; this profile had the clearer scope statement.
- β β β β β Sakura LiuΒ· Oct 10, 2024
According to our notes, agentic-debugger benefits from clear Model Context Protocol framing β fewer ambiguous βAI pluginβ claims.
- β β β β β Shikha MishraΒ· Oct 6, 2024
We evaluated agentic-debugger against two servers with overlapping tools; this profile had the clearer scope statement.
- β β β β β Olivia AgarwalΒ· Oct 2, 2024
agentic-debugger is among the better-indexed MCP projects we tried; the explainx.ai summary tracks the official description.
- β β β β β Yash ThakkerΒ· Sep 25, 2024
We wired agentic-debugger into a staging workspace; the listingβs GitHub and npm pointers saved time versus hunting across READMEs.
- β β β β β Kiara SethiΒ· Sep 25, 2024
I recommend agentic-debugger for teams standardizing on MCP; the explainx.ai page compares cleanly with sibling servers.
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