# Fiddler-MCP-Server

> Fiddler-MCP-Server — lucas-link-code-fiddler-mcp-server. Use this tool when you need to analyze Fiddler traffic using large language models (LLMs) and custom tools, providing agent chat functionality through an MCP server. It solves problems related to traffic analysis and debugging, offering a robust Python harness for integration. Ideal for use cases requiring in-depth traffic inspection and AI-driven insights, with git support for version control.

Canonical page: https://skillsregistry.net/skills/lucas-link-code-fiddler-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/lucas-link-code-fiddler-mcp-server

## Description

Provides agent chat for analysing Fiddler traffic using LLM models through MCP server and custom tools with robust python harness.

## Trust

- **Trust score (0–1):** 0.58
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/lucas-link-code/Fiddler-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": "lucas-link-code-fiddler-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lucas-link-code-fiddler-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lucas-link-code-fiddler-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