Homespun
Hand a human a rich interactive UI by URL from any MCP client and get structured data back: forms, approvals, surveys, pickers, editable lists. Round-trip human-in-the-loop for agents.
README
Homespun
Apps your AI builds and hosts, for you and the people you invite.
An agent creates a real web app from a single HTML file plus a manifest, and Homespun hosts it at a URL. People open the link and use it. No install, no build step, no deploy pipeline.
Docs: docs.homespun.dev
What is in this repository
The client side, all MIT licensed:
| Package | What it is |
|---|---|
@homespunapps/cli |
The homespun command line client |
@homespunapps/mcp |
The MCP server, so an agent can drive Homespun as a tool |
@homespunapps/core |
Shared client library and types |
Plus the agent skill (skills/homespun) and the Claude plugin
(plugins/homespun).
The relay, which is the hosted server these clients talk to, is not open source and is not in this repository.
Getting started
npm install -g @homespunapps/cli
homespun agent register
homespun deploy ./my-app
./my-app needs an index.html and a manifest.json. The
quickstart walks through both.
To use Homespun from a chat client such as Claude or ChatGPT instead of a terminal, see Connect to your AI chat, which needs no install at all.
Reference
Every reference page below is generated from the source it documents, and a test fails the build when the two disagree.
- HTTP API, every
/v1endpoint - CLI, every command and flag
- SDK, the
window.homespunbrowser API - Manifest, the app manifest format
- Errors, every error code
- Agent guide and MCP guide
Contributing
This repository is a read-only mirror. See CONTRIBUTING.md.
License
MIT. See LICENSE.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.