crazyrouter-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
| CRAZYROUTER_API_KEY | Yes | Your Crazyrouter API key |
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| chatC | Send a message to any AI model via Crazyrouter. Supports 627+ models including GPT-5, Claude Opus 4.6, Gemini 3, DeepSeek R1, Llama 4, Qwen3, Grok 4, and more. |
| list_modelsB | List available AI models on Crazyrouter. Filter by category: chat, image, video, audio, or music. |
| generate_imageC | Generate images using AI models via Crazyrouter. Supports DALL-E 3, Midjourney, Flux, Stable Diffusion, and more. |
| generate_videoC | Generate videos using AI models via Crazyrouter. Supports Sora 2, Kling V2, Veo 3, Seedance, Pika, and more. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: chat handles text generation, generate_image handles image creation, generate_video handles video generation, and list_models handles model discovery. There is no overlap in functionality, making it easy for an agent to select the correct tool for each task.
All tool names follow a consistent verb_noun pattern: chat, generate_image, generate_video, and list_models. The naming is straightforward and predictable, with no deviations in style or convention across the set.
With 4 tools, this server is well-scoped for its purpose of accessing AI models via Crazyrouter. Each tool earns its place by covering key functionalities: text, image, video generation, and model listing, without being overly sparse or bloated.
The tool set covers the core AI generation domains (text, image, video) and model discovery, but there are minor gaps such as missing audio or music generation tools mentioned in the list_models description. However, agents can work around this by using chat or other tools for those purposes.