inference.sh
VerifiedAccess 150+ AI apps for image, video, audio, LLM and 3D tasks.
What is the inference.sh MCP server?
The server acts as a unified gateway to diverse AI models and pipelines. It lets clients discover applications by category and invoke them without managing individual endpoints or runtimes.
All interactions occur over streamable HTTP, enabling real-time delivery of generated content such as images, video frames, or text tokens directly to the MCP client.
Install & connect
Add this to your MCP client config. Pick your client below and copy.
{
"mcpServers": {
"mcp": {
"url": "https://sh.inference.ac"
}
}
}Example prompts
Once connected, try asking your AI client:
Security & permissions
Requires network access to the remote inference.sh service over streamable HTTP; may need API keys or tokens supplied via environment variables for authenticated app execution.
What you can do with inference.sh
Image generation
Select and run diffusion or GAN apps to create or edit images from text prompts.
Video processing
Execute video enhancement, captioning, or style-transfer tools and receive streamed output clips.
LLM inference
Browse and call large language model endpoints for chat, summarization, or code generation tasks.
How to use inference.sh
- 1Add the inference.sh MCP server URL to your client configuration.
- 2Provide any required API keys through environment variables or client secrets.
- 3Restart the MCP client to establish the streamable-http connection.
- 4Ask your AI client to list available apps or run a specific task.
- 5Review streamed results returned directly in the conversation.
inference.sh: pros & cons
Pros
- +Single endpoint for 150+ diverse AI applications
- +Native support for streaming output across modalities
- +No need to manage separate model deployments or containers
- +Covers multiple domains: vision, audio, language, and 3D
Cons
- –Dependent on external service availability and quotas
- –Limited transparency into exact model versions behind each app
- –Streaming performance varies with network conditions
Frequently asked questions
It uses streamable-http to deliver results in real time.
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