Lets an AI agent run shared actions and chat with users in a chat-first app with durable threads.
Also known as BuilderIO/agent-native, agent-native-chat
- Stars
- 7,696
- Tools
- —
- Downloads, 30 days
- —
- Latest version
- 1.0.0
- Last commit
- Nov 13, 2026
- License
- MIT
What is Agent-Native Chat MCP?
Agent-Native Chat lets an AI agent run shared actions and chat with users in a chat-first app with durable threads.
Summary generated from the project's README
About Agent-Native Chat MCP server
Building agents that combine autonomous work with purpose-built interfaces is possible through this open-source TypeScript framework. It allows developers to define capabilities as shared actions that function simultaneously as tools for an AI agent and as callable code within a user interface. This ensures that any work performed by the agent is visible to the user, and any manual changes made in the UI are immediately available to the agent through a shared data layer.
Developers can implement this locally using PGlite or deploy to production with a PostgreSQL backend. The framework includes features for authentication, permissions, and persistent memory to give agents reusable expertise. It also supports agent teams, allowing specialists to collaborate across a workspace. By using the same action layer for the UI, HTTP, MCP, and CLI, the system maintains a single source of truth for all application logic and state.
What you can do with it
- 1Maintain shared application stateEnsure an agent understands the specific page or record a user is currently viewing in the interface.
- 2Automate repetitive agent tasksSet up workflows where an agent performs specific duties based on a set schedule or specific triggers.
- 3Perform visual application editingUse a chat interface to request specific design changes to a running application on a canvas.
Written from the project's README. Every use case is checked against a quote from it.
How to install Agent-Native Chat MCP
Formats verified 10 Nov 2026Install Agent-Native Chat MCP in Claude Code
$ claude mcp add --transport http agent-native-chat https://starter.agent-native.com/mcpInstall Agent-Native Chat MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"agent-native-chat": {
"url": "https://starter.agent-native.com/mcp"
}
}
}Install Agent-Native Chat MCP in VS Code
.vscode/mcp.json
{
"servers": {
"agent-native-chat": {
"type": "http",
"url": "https://starter.agent-native.com/mcp"
}
}
}Install Agent-Native Chat MCP in Codex
~/.codex/config.toml
[mcp_servers.agent-native-chat] url = "https://starter.agent-native.com/mcp"
Install Agent-Native Chat MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"agent-native-chat": {
"httpUrl": "https://starter.agent-native.com/mcp"
}
}
}Automated checks
Ran Nov 12, 2026Full report →Passed our automated checks. That is not a security audit: read the code and give the server the narrowest access it needs. How checks work
- Source repository linked and reachablePass
- Open source license (OSI)Pass
- Commit or release in the last yearPass
- Package name not close to a popular packageNot checked
- Remote endpoint uses HTTPSPass
- Destructive tools are labelledNot checked
- No hidden instructions to the modelPass
- No critical advisory in the package or its dependenciesNot checked
README
View on GitHubAgent-Native
Agent-Native is an open-source TypeScript framework for building agents that pair autonomous work with a purpose-built UI. Define each capability once as an action: the agent uses it as a tool, and the UI calls it from code.
Quick start
npx --yes @agent-native/core@latest create my-agent --standalone --template chat
Follow the getting started guide for a full intro to the framework.
Why build agents with UIs?
Coding agents work with more than a text box. Their environment provides context, tools, files, tests, and previews that make their capabilities and results visible.
Knowledge work needs that same kind of environment. A UI shows what an agent can do and gives people familiar ways to inspect, edit, approve, and share its work.
How Agent-Native works
- Shared actions. The agent calls each capability as a tool, and the UI calls it from code. Both paths use the same validation, permissions, and implementation.
- Shared data. Work done by the agent appears in the UI, and work done in the UI is available to the agent.
- Shared application state. The agent receives relevant UI state, such as the current page, selected record, or active view.
The agent does not click through the UI. It works through the same action layer as the UI.
Example: a shared action
Create actions/hello.ts:
import { defineAction } from "@agent-native/core/action";
import { z } from "zod";
// One action powers every app surface: UI, agent, HTTP, MCP, A2A, and CLI.
export default defineAction({
description: "Return a friendly greeting.",
schema: z.object({
name: z.string().default("world").describe("Name to greet"),
}),
http: { method: "GET" },
run: async ({ name }) => {
return { message: `Hello, ${name}!` };
},
});
The agent receives hello as a tool. React calls the same function with useActionQuery("hello", { name: "Alex" }). Agent-Native also exposes it through HTTP, MCP, A2A, and the CLI.
Included
- Agent chat: Let people delegate work, ask questions, and review results in the same UI.
- Authentication and permissions: Control who can access and change shared work.
- Skills and memory: Give agents reusable expertise and persistent context.
- Automations: Run agent work on schedules or events.
- Agent teams: Delegate work to specialist agents in the same workspace or across connected agents.
- PostgreSQL backend: Use PostgreSQL in production and PGlite for local development on any Nitro-compatible host.
Example: edit a running app visually
Use /visual-edit in Claude Code to edit a running app on a canvas instead of
prompting for each small UI nudge. Compare live pages together, then ask Claude
to apply the chosen edits to your source. For example:
/visual-edit the onboarding flow, plus home at every breakpoint
Review the onboarding screens alongside Home at desktop, tablet, and mobile sizes, adjust a button's color or spacing directly, then ask Claude to apply the pending edits to your source. See the Visual Edit guide for the full walkthrough and sharing details.
Bring your LLM, SQL database, tools, and infrastructure. Everything you build stays yours.
See Agent-Native in action:
https://github.com/user-attachments/assets/ef51644b-6506-46d8-8083-0af7b7e5b65c
Open-source agents
Start from one of these agents or use it as an example for your own. For a source-to-answer architecture example, see Brain’s visual overview.
Clips
Record and understand meetings, screens, and voice notes.
Design
Generate and refine interactive designs.
Slides
Create and edit on-brand presentations.
Analytics
Ask questions of your data and build dashboards.
Calendar
Find time, schedule events, and manage bookings.
Prioritize email, draft replies, and follow up.
Assets
Create and organize on-brand media.
Content
Draft, organize, and publish content.
Plans
Create and review visual plans with diagrams, wireframes, and prototypes.
Explore the full app gallery, or start with the framework guide.
Documentation and community
- Read the documentation.
- Join Discord to ask questions, share what you're building, and get help.
Contributing
Want to send a change back? Start with CONTRIBUTING.md. DEVELOPMENT.md covers local setup, workspace structure, and guard scripts.
License
MIT
Agent-Native Chat MCP questions
How do I add Agent-Native Chat MCP to Claude Code?
Run claude mcp add --transport http agent-native-chat https://starter.agent-native.com/mcp in your terminal. Add --scope user to make it available in every project.
How do I add Agent-Native Chat MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
How do I create an Agent-Native chat app?
Run the create command with the chat template to scaffold a standalone project.
How does an action work for both the agent and the UI?
Define an action once with defineAction, and the agent receives it as a tool while React calls the same function.
What database does Agent-Native use?
It uses PostgreSQL in production and PGlite for local development.