A tool or assistant to explore and debug my codebase MCP servers

"A tool or assistant to explore and debug my codebase" matching MCP servers:

• Explore MCP

  Dhavaleswar

  -

  security

  F

  license

  -

  quality

  A demonstration MCP server that exposes basic arithmetic tools (add, subtract, ping) through FastAPI and shows how to integrate them with OpenAI's tool-calling API for LLM orchestration.

  Last updated 2 months ago

• Debug MCP

  ahao0150

  A

  security

  A

  license

  A

  quality

  An intelligent debugging assistant that automates the debugging process by analyzing bugs, injecting HTTP-based debug logs into code across multiple environments (browser, Node.js, mobile, etc.), and iteratively fixing issues based on real-time feedback.

  Last updated a month ago

  8

  MIT

• Debug-MCP

  Kaina3

  A

  security

  A

  license

  A

  quality

  Enables AI assistants to perform interactive Python debugging with breakpoints, step execution, and variable inspection using the Debug Adapter Protocol (DAP) through an MCP server interface.

  Last updated 3 months ago

  8

  1

  MIT

• Codebase MCP

  DeDeveloper23

  A

  security

  A

  license

  A

  quality

  A Model Context Protocol server that enables AI agents to retrieve and understand entire codebases at once, providing tools to analyze local workspaces or remote GitHub repositories.

  Last updated a year ago

  3

  72

  MIT

• Git MCP Assistant Tool

  kamiwaza-drew

  -

  security

  F

  license

  -

  quality

  Enables AI models to perform comprehensive Git repository management including cloning, file operations, branching, committing, and pushing changes via a secure FastMCP interface. It features built-in workspace isolation and rigorous input validation to ensure production-ready repository control.

  Last updated 7 days ago

• CodeBase Optimizer

  liadgez

  -

  security

  A

  license

  -

  quality

  Provides comprehensive codebase analysis including project structure evaluation, cross-language duplicate detection, microservices validation, and configuration optimization with AI-powered pattern learning that generates actionable improvement reports.

  Last updated 7 months ago

  MIT