# io.github.GeiserX/lynxprompt-mcp

> Use this tool when you need to manage and optimize AI configurations, as it provides a centralized server for browsing, searching, and managing blueprints, solving problems of configuration complexity and scalability. It takes in AI model configurations as input and outputs organized and searchable blueprints, streamlining the development process. Ideal for use cases involving multiple AI models or large-scale AI deployments.

Canonical page: https://skillsregistry.net/skills/io-github-geiserx-lynxprompt-mcp  
JSON: https://api.skillsregistry.net/v1/skills/io-github-geiserx-lynxprompt-mcp

## Description

MCP server for LynxPrompt — browse, search, and manage AI configuration blueprints

## Trust

- **Trust score (0–1):** 0.83
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 0.0.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.GeiserX%2Flynxprompt-mcp)
- **Repository:** <https://github.com/GeiserX/lynxprompt-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": "io-github-geiserx-lynxprompt-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-geiserx-lynxprompt-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-geiserx-lynxprompt-mcp/pull`

---
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