Agent.AI MCP Server

Name: Agent.AI MCP Server
Author: dschwartzAI

@dschwartzAI

リポジトリ

Agent.AI MCP Server について

概要はまだありません

基本情報

カテゴリ

AI とエージェント

ランタイム

node

トランスポート

stdio

公開者

dschwartzAI

設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

ツール

ツールは検出されませんでした

ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

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.