# frameforge-mcp

> frameforge-mcp — pedroanisio-frameforge-mcp. Use this tool when you need to render AI-authored documents into visual formats and analyze their quality. It solves problems related to document visualization, self-correction, and quality assessment by providing typed diagnostics, visual QA metrics, and image reconstruction capabilities. The tool takes AI-authored documents as input and returns images, diagnostics, and metrics as output, making it ideal for applications requiring automated document review and improvement.

Canonical page: https://skillsregistry.net/skills/pedroanisio-frameforge-mcp  
JSON: https://api.skillsregistry.net/v1/skills/pedroanisio-frameforge-mcp

## Description

MCP server that renders AI-authored documents to images and returns typed diagnostics for self-correction. It also provides visual QA metrics, raster-to-vector reconstruction, and image-to-draft proposals.

## Trust

- **Trust score (0–1):** 0.61
- **Verification tier:** scanned
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/h8fucy2nim)
- **Repository:** <https://github.com/pedroanisio/frameforge-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": "pedroanisio-frameforge-mcp"
    }
  }
}
```

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