Agent.AI MCP Server
@dschwartzAI
About Agent.AI MCP Server
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Config
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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
FAQ from Agent.AI MCP Server
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.
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.
Can I run the server locally?
Yes. Run npm install and npm start; the server will start on http://localhost:3000.
What are the prerequisites for deployment?
A GitHub account, a Vercel account (free tier works), and Git installed locally.
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.
Frequently asked questions
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.
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.
Can I run the server locally?
Yes. Run `npm install` and `npm start`; the server will start on `http://localhost:3000`.
What are the prerequisites for deployment?
A GitHub account, a Vercel account (free tier works), and Git installed locally.
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.
Basic information
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