"Resources for improving coding skills and debugging code" matching MCP servers:

• Skills MCP

  skills-mcp

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  security

  F

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  quality

  Transform any AI agent into a domain expert by giving it access to modular, reusable skills through the Model Context Protocol. Brings Claude's Skills format to any MCP-compatible agent, allowing you to create skills once and use them everywhere.

  Last updated 6 months ago

  28

  21

• gdb and rr Debugging

  schuay

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  security

  A

  license

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  quality

  MCP server that exposes GDB debugging as tools. An AI assistant can set breakpoints, run programs, step through code, inspect variables and memory, and examine registers — all via structured tool calls. Reverse debugging with rr is also supported.

  Last updated a month ago

  34

  1

  MIT

• Debugging MCP Server

  luischang07

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  security

  F

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  quality

  Enables LLMs to automatically diagnose coding errors through codebase search, test execution, and live debugger integration (DAP/V8 CDP). Provides a secure, policy-gated environment for investigating failures while preventing destructive operations.

  Last updated 6 days ago

• YouTube Skills for AI Agents

  ZeroPointRepo

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  security

  A

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  quality

  YouTube Skills (TranscriptAPI) is the production API for extracting, searching, and analyzing YouTube content at scale. While other tools break when YouTube changes or cap you at 100 requests/day, TranscriptAPI serves 15 million transcripts monthly at 49ms median response time.

  Last updated 2 months ago

  84

  MIT

• Skills MCP

  leezhuuuuu

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  security

  F

  license

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  quality

  A package manager for AI agents that connects LLMs to a global registry of capabilities, allowing them to autonomously discover, install, and learn new skills from a centralized repository.

  Last updated 3 months ago

  4

  3

• mcp-skills

  FranciscoYuster

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  security

  A

  license

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  quality

  Integrates with the skills.sh ecosystem to allow AI coding agents to discover, install, and manage reusable instruction sets. It enables autonomous agents to extend their capabilities with structured skill discovery and full lifecycle management through the Model Context Protocol.

  Last updated a month ago

  6

  19

  1

  Apache 2.0