# InsightFace-MCP

> InsightFace-MCP — ponzifi-insightface-mcp. Use this tool when you need to quickly locate specific photos of individuals in a large library using natural language queries. InsightFace-MCP solves the problem of manual photo searching by providing an efficient facial recognition search system that integrates with LM Studio via MCP. It takes natural language queries as input and outputs relevant photos of individuals, making it ideal for use cases where offline, local photo searching is required.

Canonical page: https://skillsregistry.net/skills/ponzifi-insightface-mcp  
JSON: https://api.skillsregistry.net/v1/skills/ponzifi-insightface-mcp

## Description

A local, offline facial recognition search system that integrates with LM Studio via MCP, allowing users to find photos of people in their library using natural language queries.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ee2ufebe9f)
- **Repository:** <https://github.com/PonziFi/InsightFace-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": "ponzifi-insightface-mcp"
    }
  }
}
```

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