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heizaheiza / MCP Servers

Charles-mcp

Charles Proxy MCP server for AI agents with live capture, structured traffic analysis, and agent-friendly tool contracts

  • 330 stars
  • 36 forks
  • 3 open issues
  • Language: Python
  • License: MIT
  • updated

Install

local · uvx (python)
Claude Code CLI
claude mcp add charles-mcp -- uvx charles-mcp
  1. Run the command above in your terminal (Claude Code), or paste the JSON config into claude_desktop_config.json (Claude Desktop).
  2. Replace any <placeholder> values with your API keys or paths.
  3. Restart Claude. The MCP server and its tools appear automatically.

Package name inferred from the repository name. Verify it exists on PyPI, or clone https://github.com/heizaheiza/Charles-mcp and follow its README.

README

MCP Servers overview

README preview not available. Visit the repo on GitHub for full documentation.
Topics
ai-agentcharles-proxycodexdeveloper-toolsmcpmcp-servernetwork-debuggingopenai
Frequently asked

What people ask about Charles-mcp

What is heizaheiza/Charles-mcp?

heizaheiza/Charles-mcp is mcp servers for the Claude AI ecosystem. Charles Proxy MCP server for AI agents with live capture, structured traffic analysis, and agent-friendly tool contracts It has 330 GitHub stars and its last recorded update is dated 2026-06-23.

How do I install Charles-mcp?

You can install Charles-mcp by cloning the repository (https://github.com/heizaheiza/Charles-mcp) or following the README instructions on GitHub. ClaudeWave also provides quick install blocks on this page.

Is heizaheiza/Charles-mcp safe to use?

Our security agent has analyzed heizaheiza/Charles-mcp and assigned a Trust Score of 87/100 (tier: Trusted). See the full breakdown of passed checks and flags on this page.

Who maintains heizaheiza/Charles-mcp?

heizaheiza/Charles-mcp is maintained by heizaheiza. The last recorded GitHub activity is dated 2026-06-23, with 3 open issues.

Are there alternatives to Charles-mcp?

Yes. On ClaudeWave you can browse similar mcp servers at /categories/mcp, sorted by popularity or recent activity.