Python library for easily interacting with trained machine learning models
Python library for easily interacting with trained machine learning models
Gradio is an open-source Python package that allows you to quickly build a demo or web application for your machine learning model, API, or any arbitrary Python function. You can then share a link to your demo or web application in just a few seconds using Gradio's built-in sharing features. No JavaScript, CSS, or web hosting experience needed!
Compare MCP servers by category, or browse hosted MCP servers if you prefer an endpoint over a local process.
Check the linked publisher documentation and your connected client's tool list. Names and availability can vary with the server version and account permissions.
| Tool | What it does |
|---|---|
| inputs | the Gradio component(s) to use for the input. The number of components should match the number of arguments in your function. |
| outputs | the Gradio component(s) to use for the output. The number of components should match the number of return values from your function. |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
Browser MCP is a Model Context Provider (MCP) server that allows AI applications to control your browser
1000+ creative ways to say no. Polite, humorous, professional rejection responses.
Official sources only, and only sources we may redistribute: OpenDART, SEC EDGAR, EDINET, TWSE/TPEx OpenAPI, ESEF filings and data.go.kr (Financial Services Commission). Every answer names its…
MCP server for Grok Imagine AI video generation