# gigahard-mcp-server

> Use this tool when you need to transform HAR network requests into usable tools for Model Control Panels (MCPs), solving problems of data conversion and integration for efficient model management. It takes in HAR files as input and outputs usable tools for MCPs, streamlining the workflow for model developers. Ideal for use cases where MCPs require converted HAR data, such as model testing and validation.

Canonical page: https://skillsregistry.net/skills/lekt9-gigahard-mcp  
JSON: https://api.skillsregistry.net/v1/skills/lekt9-gigahard-mcp

## Description

Transform your HAR network requests into usable tools for MCPs

## Trust

- **Trust score (0–1):** 0.50
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** other
- **Updated:** 2026-05-13

## Source

- **Source listing:** [Smithery](https://smithery.ai/server/lekt9/gigahard-mcp)

## 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": "lekt9-gigahard-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/lekt9-gigahard-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/lekt9-gigahard-mcp/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