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Agent.AI MCP Server

@dschwartzAI

Basic information

Category

AI & Agents

Transports

stdio

Author

dschwartzAI

About Agent.AI MCP Server

No overview available yet

Agent.AI MCP Server config

No standard config provided

This server doesn't expose a parseable MCP config block in its README. See the repository for install instructions.

Repository

Agent.AI MCP Server tools

Tool list not available yet

This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is Agent.AI MCP Server?

An externally deployable version of the Agent.AI MCP Server, designed to be hosted on Vercel and called from other applications. It requires an Agent.AI API token for authentication.

How to use Agent.AI MCP Server?

Deploy the server to Vercel by creating a GitHub repository, pushing the code, and importing it into Vercel. Once deployed, call the server from other apps using the provided Vercel URL (e.g., https://your-project-name.vercel.app). For local development, run npm install && npm start and the server will start on http://localhost:3000.

Key features of Agent.AI MCP Server

  • Deployable to Vercel (free tier works)
  • Externally callable from any application
  • Supports environment variable configuration
  • Local development mode with default port 3000
  • Authentication via Agent.AI API token

Use cases of Agent.AI MCP Server

  • Integrate Agent.AI services into external applications
  • Host a self-managed MCP server endpoint
  • Test Agent.AI capabilities locally before production deployment
  • Provide a programmable interface for AI-driven tasks

Frequently asked questions

1

How do I deploy the server?

Create a GitHub repository with the server code, push it, then import the repository into Vercel as a new project. Vercel will automatically detect it as a Node.js project; click "Deploy" to get a URL.

2

How do I set up authentication?

Add your Agent.AI API token as an environment variable named `API_TOKEN` in the Vercel project dashboard (Settings → Environment Variables). Then disable Vercel's built‑in authentication under Settings → Security.

3

Can I run the server locally?

Yes. Run `npm install` and `npm start`; the server will start on `http://localhost:3000`.

4

What are the prerequisites for deployment?

A GitHub account, a Vercel account (free tier works), and Git installed locally.

5

How do I troubleshoot deployment issues?

Ensure the `@agentai/mcp-server` package is publicly available, check Vercel deployment logs, and verify that your GitHub repository is public or that Vercel has access to it.

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