# MCP Toolkit

> Use this tool when you need to inspect and debug MCP traffic in cloud environments, solving integration issues and protocol errors through its 20+ diagnostic tools. It captures detailed traffic information, including request headers and authentication tokens, and outputs diagnostic data for troubleshooting. Ideal for developers deploying MCP integrations via Docker, Azure, Bicep, or Terraform templates.

Canonical page: https://skillsregistry.net/skills/aighostmod-mcp-toolkit  
JSON: https://api.skillsregistry.net/v1/skills/aighostmod-mcp-toolkit

## Description

MCP Toolkit is a diagnostic server for inspecting and debugging MCP traffic. It captures request headers, authentication tokens, MCP and JSON-RPC protocol details, environment variables, and network information through over 20 diagnostic tools. Deployable via Docker with Azure support through Bicep and Terraform templates, making it useful for developers troubleshooting MCP integrations in cloud environments.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** scanned
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/aighostmod-mcp-toolkit)
- **Repository:** <https://github.com/aighostmod/mcptoolkit>

## 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": "aighostmod-mcp-toolkit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/aighostmod-mcp-toolkit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/aighostmod-mcp-toolkit/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
