# modlens-mcp

> modlens-mcp — anthonyandnancy-modlens-mcp-for-reasonix. Use this tool when you need to analyze images and extract relevant information via a direct vision API, with capabilities for OCR, comparison, and lookup, and receive structured JSON output. It solves problems related to image analysis and evidence collection, providing a slim summary of results while persisting full evidence to disk. Ideal for use cases where image data needs to be processed and summarized within a 32KB tool-result limit.

Canonical page: https://skillsregistry.net/skills/anthonyandnancy-modlens-mcp-for-reasonix  
JSON: https://api.skillsregistry.net/v1/skills/anthonyandnancy-modlens-mcp-for-reasonix

## Description

MCP server that provides text-only models structured JSON vision evidence via direct vision API calls, with tools for image analysis, OCR, comparison, and lookup. It persists full evidence to disk and returns slim summaries to fit Reasonix's 32KB tool-result limit.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/kactn7z5ix)
- **Repository:** <https://github.com/AnthonyandNancy/modlens-mcp-for-reasonix>

## 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": "anthonyandnancy-modlens-mcp-for-reasonix"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/anthonyandnancy-modlens-mcp-for-reasonix` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/anthonyandnancy-modlens-mcp-for-reasonix/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