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MCP Server

Agent.AI MCP Server

An externally deployable server designed to be hosted on Vercel that can be called from other applications, allowing integration with Agent.AI's Multi-Context Processing capabilities.

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11/21/2025
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README Documentation

Agent.AI MCP Server

This is an externally deployable version of the Agent.AI MCP Server, designed to be hosted on Vercel and called from other applications.

Deployment Instructions

Prerequisites

  • GitHub account
  • Vercel account (free tier works)
  • Git installed locally

Steps to Deploy

  1. Create a new GitHub repository

    git init
    git add .
    git commit -m "Initial commit: Agent.AI MCP Server"
    git branch -M main
    git remote add origin https://github.com/YOUR_USERNAME/agentai-mcp-server.git
    git push -u origin main
    
  2. Deploy to Vercel

    • Go to vercel.com
    • Click "New Project"
    • Import your GitHub repository
    • Vercel will automatically detect it as a Node.js project
    • Click "Deploy"
  3. Get your deployment URL

    • After deployment, Vercel will provide a URL like: https://your-project-name.vercel.app
    • This is your MCP server endpoint

Usage

Once deployed, you can call your MCP server from other applications using the Vercel URL.

Example Usage

// In your other app
const mcpServerUrl = 'https://your-project-name.vercel.app';

// Make requests to your MCP server
fetch(mcpServerUrl + '/your-endpoint')
  .then(response => response.json())
  .then(data => console.log(data));

Local Development

To run locally:

npm install
npm start

The server will start on http://localhost:3000

Configuration

  • Port: Automatically set by Vercel, or defaults to 3000 locally
  • Environment Variables: Can be set in Vercel dashboard under Project Settings > Environment Variables

Troubleshooting

  • Ensure your @agentai/mcp-server package is publicly available
  • Check Vercel deployment logs if issues occur
  • Verify your GitHub repository is public or Vercel has access

Important: Authentication Setup

1. Configure Agent.AI API Token

Your MCP server requires an Agent.AI API token to authenticate with Agent.AI services:

  1. Get your API token from Agent.AI
  2. Go to your Vercel project dashboard
  3. Click "Settings" → "Environment Variables"
  4. Add a new variable:
    • Name: API_TOKEN
    • Value: Your Agent.AI API token
  5. Redeploy the project

2. Disable Vercel Authentication

To allow external access to your MCP server, you MUST disable Vercel's built-in authentication:

  1. Go to your Vercel project dashboard
  2. Click "Settings" → "Security"
  3. Disable "Password Protection" and "Vercel Authentication"
  4. Save changes

3. Test Authentication

After setup, your endpoints will return:

  • ✅ "authentication": "configured" - Ready to use
  • ❌ "authentication": "missing" - API_TOKEN required

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Key Features

Model Context Protocol
Secure Communication
Real-time Updates
Open Source

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