Lets an AI client answer questions from a cited company knowledge base built from Slack, meetings, transcripts, and decisions.
Also known as BuilderIO/agent-native, agent-native-brain
- Stars
- 7,696
- Tools
- —
- Downloads, 30 days
- —
- Latest version
- 1.0.0
- Last commit
- Nov 13, 2026
- License
- MIT
What is Agent-Native Brain MCP?
Agent-Native Brain lets an AI client answer questions from a cited company knowledge base built from Slack, meetings, transcripts, and decisions.
Summary generated from the project's README
About Agent-Native Brain MCP server
Developers building agentic applications can use this TypeScript framework to create autonomous agents that interact with purpose-built user interfaces. By defining capabilities as shared actions, the same logic powers both the agent's tools and the application's code, ensuring consistent validation and permissions across all surfaces including MCP, HTTP, and CLI.
The framework manages shared application state and data, allowing an agent to receive context like the current page or selected record while making its work visible in the UI. It includes built-in support for authentication, persistent memory, and automations that run on schedules or events. For storage, it utilizes a PostgreSQL backend for production environments and PGlite for local development on Nitro-compatible hosts.
What you can do with it
- 1Maintain shared application contextProvide agents with relevant information such as the active view or selected records.
- 2Automate repetitive agent tasksSet up agent workflows to trigger based on specific events or time intervals.
- 3Deploy production-ready data storageUse a reliable database backend to manage agent and application data.
Written from the project's README. Every use case is checked against a quote from it.
How to install Agent-Native Brain MCP
Formats verified 10 Nov 2026Install Agent-Native Brain MCP in Claude Code
$ claude mcp add --transport http agent-native-brain https://brain.agent-native.com/mcpInstall Agent-Native Brain MCP in Cursor
~/.cursor/mcp.json
{
"mcpServers": {
"agent-native-brain": {
"url": "https://brain.agent-native.com/mcp"
}
}
}Install Agent-Native Brain MCP in VS Code
.vscode/mcp.json
{
"servers": {
"agent-native-brain": {
"type": "http",
"url": "https://brain.agent-native.com/mcp"
}
}
}Install Agent-Native Brain MCP in Codex
~/.codex/config.toml
[mcp_servers.agent-native-brain] url = "https://brain.agent-native.com/mcp"
Install Agent-Native Brain MCP in Gemini CLI
~/.gemini/settings.json
{
"mcpServers": {
"agent-native-brain": {
"httpUrl": "https://brain.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 Brain MCP questions
How do I add Agent-Native Brain MCP to Claude Code?
Run claude mcp add --transport http agent-native-brain https://brain.agent-native.com/mcp in your terminal. Add --scope user to make it available in every project.
How do I add Agent-Native Brain MCP to Cursor?
Open ~/.cursor/mcp.json and add the server under mcpServers, using the Cursor config shown in the install section above.
What does Agent-Native Brain let an AI client do?
It gives the agent a knowledge base so it can answer questions grounded in company sources with citations.
Can the agent and the UI share the same actions and data?
Yes, actions and data are shared between the agent and the UI with the same validation and permissions.