Lets an AI client create, edit, and manage dynamic forms through a shared action layer.
다른 이름 BuilderIO/agent-native, agent-native-forms
- 스타
- 7,696
- Tools
- —
- 다운로드, 30일
- —
- 최신 버전
- 1.0.0
- 마지막 커밋
- 2026년 11월 13일
- 라이선스
- MIT
Agent-Native Forms MCP란?
Agent-Native Forms은(는) MCP server입니다. Lets an AI client create, edit, and manage dynamic forms through a shared action layer.
프로젝트 README에서 생성된 요약
Agent-Native Forms MCP server 정보
Building autonomous agents that interact with a purpose-built user interface is the core function of this TypeScript framework. Developers can define capabilities as shared actions that serve simultaneously as tools for an AI client and as callable functions within a UI. This approach ensures that both the agent and the human user operate on the same validation, permissions, and implementation layers.
Users can manage their work through a variety of interfaces including an agent chat, a command line interface, and HTTP endpoints. The framework provides a PostgreSQL backend for production and PGlite for local development. It includes built-in features for authentication, permissions, and persistent memory to give agents reusable expertise. By connecting an LLM to a shared data layer, the work performed by an agent becomes immediately visible and editable within the application interface.
활용 사례
- 1Visual application editingModify a running application's interface on a canvas instead of using text prompts for every change.
- 2Manage shared application stateEnsure an AI agent understands the current context of the user interface like the active view or selected record.
- 3Automate agentic workflowsTrigger agent tasks based on specific events or on a set schedule.
프로젝트의 README를 바탕으로 작성되었습니다. 모든 활용 사례는 해당 내용의 인용문과 대조하여 확인합니다.
Agent-Native Forms MCP 설치 방법
형식 확인: 2026년 11월 10일Claude Code에 Agent-Native Forms MCP 설치
$ claude mcp add --transport http agent-native-forms https://forms.agent-native.com/mcpCursor에 Agent-Native Forms MCP 설치
~/.cursor/mcp.json
{
"mcpServers": {
"agent-native-forms": {
"url": "https://forms.agent-native.com/mcp"
}
}
}VS Code에 Agent-Native Forms MCP 설치
.vscode/mcp.json
{
"servers": {
"agent-native-forms": {
"type": "http",
"url": "https://forms.agent-native.com/mcp"
}
}
}Codex에 Agent-Native Forms MCP 설치
~/.codex/config.toml
[mcp_servers.agent-native-forms] url = "https://forms.agent-native.com/mcp"
Gemini CLI에 Agent-Native Forms MCP 설치
~/.gemini/settings.json
{
"mcpServers": {
"agent-native-forms": {
"httpUrl": "https://forms.agent-native.com/mcp"
}
}
}자동 검사
2026년 11월 12일에 실행됨전체 보고서 →자동 검사를 통과했습니다. 이는 보안 감사가 아닙니다. 코드를 직접 읽고 서버에 필요한 최소한의 권한만 부여하십시오. 검사 방식
- 소스 저장소 연결 및 접근 가능통과
- 오픈 소스 라이선스 (OSI)통과
- 최근 1년 내 커밋 또는 릴리스통과
- 패키지 이름이 인기 패키지와 유사하지 않음검사되지 않음
- 원격 엔드포인트가 HTTPS 사용통과
- 파괴적인 도구에 라벨 표시됨검사되지 않음
- 모델에 대한 숨겨진 지침 없음통과
- 패키지와 의존성에 심각한 보안 권고 없음검사되지 않음
README
GitHub에서 보기Agent-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 Forms MCP 질문
Agent-Native Forms MCP를 Claude Code에 추가하려면 어떻게 하나요?
터미널에서 claude mcp add --transport http agent-native-forms https://forms.agent-native.com/mcp를 실행합니다. 모든 프로젝트에서 사용할 수 있게 하려면 --scope user를 추가합니다.
Agent-Native Forms MCP를 Cursor에 추가하려면 어떻게 하나요?
~/.cursor/mcp.json를 열고 mcpServers 아래에 서버를 추가합니다. 위 설치 섹션에 표시된 Cursor 구성을 사용합니다.
What does Agent-Native Forms let an agent do?
The agent works through the same action layer as the UI to create, edit, and manage forms, giving people familiar ways to inspect, edit, approve, and share its work.
How do the agent and the UI share capabilities?
Each capability is defined once as an action; the agent calls it as a tool and the UI calls it from code, using the same validation, permissions, and implementation.
Does the agent interact by clicking through the UI?
No, it works through the same shared action layer the UI uses rather than driving the interface.
What backend does it use?
It uses PostgreSQL in production and PGlite for local development on any Nitro-compatible host.
What language and framework is it built with?
It is an open-source TypeScript framework for building agents that pair autonomous work with a purpose-built UI.