# mcp-openrouter

> Use this tool when you need to integrate AI models into your application for tasks like chat, image generation, and embeddings. It solves problems of model accessibility and reliability by providing a Python server that hosts can use to call OpenRouter models via FastMCP. The tool accepts model requests as input and returns generated outputs, such as text or images, making it ideal for use cases that require on-demand AI-driven content creation.

Canonical page: https://skillsregistry.net/skills/tsilva-mcp-openrouter  
JSON: https://api.skillsregistry.net/v1/skills/tsilva-mcp-openrouter

## Description

A Python MCP server that lets MCP hosts call OpenRouter models for chat, image generation, embeddings, and model search via FastMCP with .env support and retry handling.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** media
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/ka716r6szm)
- **Repository:** <https://github.com/tsilva/mcp-openrouter>

## 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": "tsilva-mcp-openrouter"
    }
  }
}
```

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