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Agent.AI MCP Server

@dschwartzAI

代码仓库

基本信息

分类

AI 与智能体

传输方式

stdio

作者

dschwartzAI

关于 Agent.AI MCP Server

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Agent.AI MCP Server 配置

暂无标准配置

该服务器的 README 中没有可解析的 MCP 配置块，请前往代码仓库查看安装说明。

代码仓库

Agent.AI MCP Server 工具

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当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。

工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。

概览

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

常见问题

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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