# Charles MCP Server

> Use this tool when you need to analyze HTTP traffic and interact with Charles Proxy for debugging and testing purposes. It solves problems related to network traffic inspection, allowing for incremental data collection and filtering. The tool accepts inputs from AI agents and outputs analyzed HTTP traffic data, making it ideal for use cases requiring in-depth traffic analysis and debugging.

Canonical page: https://skillsregistry.net/skills/tianhetonghua-charles-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/tianhetonghua-charles-mcp-server

## Description

Enables AI agents to interact with Charles Proxy for HTTP traffic analysis, supporting incremental harvest, checkpoint timelines, and rich filtering tools.

## Trust

- **Trust score (0–1):** 0.93
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/uvn7aaug1x)
- **Repository:** <https://github.com/tianhetonghua/Charles-mcp-server>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "tianhetonghua-charles-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/tianhetonghua-charles-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/tianhetonghua-charles-mcp-server/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt