mcpField
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Agent Blueprint

Agent Blueprint

Remote
agentblueprint.aiAI & Agents1Updated 2d ago

About Agent Blueprint

The supplied information describes Agent Blueprint only as a project bootstrapped with Next.js, with instructions for local development and deployment. It does not provide enough detail to assess the agent cost tracking, summary check, or offline access map named in its tagline.

Key features

  1. 01Next.js project
  2. 02Local development server
  3. 03Vercel deployment instructions

Use cases

  1. 01Start a local development server
  2. 02Edit the Next.js page
  3. 03Refer to Vercel deployment guidance

Configuration

Remote servers need no local install. Pick your client, then copy the config or install in one click.

Endpointhttps://agentblueprint.ai/mcp
Copy install command
Claude CodeTerminal
Cursor.cursor/mcp.json
VS Code.vscode/mcp.json
Claude Desktopclaude_desktop_config.json
Windsurf~/.codeium/windsurf/mcp_config.json

Run commands in a terminal; paste JSON into the client’s MCP config and restart. Servers that need sign-in will prompt on first connect.

Tools

Details

From the project README

This is a Next.js project bootstrapped with create-next-app.

Getting Started

First, run the development server:

npm run dev
# or
yarn dev
# or
pnpm dev
# or
bun dev

Open http://localhost:3000 with your browser to see the result.

You can start editing the page by modifying app/page.tsx. The page auto-updates as you edit the file.

This project uses next/font to automatically optimize and load Geist, a new font family for Vercel.

Learn More

To learn more about Next.js, take a look at the following resources:

You can check out the Next.js GitHub repository - your feedback and contributions are welcome!

Deploy on Vercel

The easiest way to deploy your Next.js app is to use the Vercel Platform from the creators of Next.js.

Check out our Next.js deployment documentation for more details.

Comments

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New to MCP?

From what the protocol is to installing your first server, these answers cover most first questions.

An open protocol that defines how AI applications connect to external tools and data in a uniform way. Clients talk to the model; MCP servers provide tools, resources and prompt templates. They exchange standard messages, so one server can be reused by many clients.