Which LLMs does MCP Agent support?
It supports Google Gemini, Anthropic Claude, OpenAI GPT, and xAI Grok via the Vercel AI SDK.
@allanbrewer
基本信息
LLM agent to connect with MCP servers
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"mcp-agent-allanbrewer": {
"command": "npx",
"args": [
"prisma",
"migrate",
"dev",
"--name",
"init",
"#",
"Or",
"your",
"latest",
"migration",
"name"
]
}
}
}工具列表暂未提供
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。
点击上方按钮,在临时沙箱中运行此服务器并实时获取工具列表。
MCP Agent is a web-based conversational agent that lets you chat with various LLMs (Google Gemini, Anthropic Claude, OpenAI GPT, xAI Grok) and interact with external services through Model Context Protocol (MCP) servers. It is built with Next.js and the Vercel AI SDK, targeting developers and power users who want a flexible, multi‑tool chat interface.
Clone the repository, install dependencies with npm install (or yarn) inside mcp-agent-app/, configure .env.local with API keys and paths, run database migrations with npx prisma migrate dev --name init, then start the app with npm run dev. Open http://localhost:3000, select an LLM provider and model from the sidebar, and start chatting. Use "Save Chat" to persist conversations.
streamTextIt supports Google Gemini, Anthropic Claude, OpenAI GPT, and xAI Grok via the Vercel AI SDK.
Implement an MCP server communicating over stdio/JSON‑RPC, then add its configuration to `mcp-config.json` (id, description, command with arguments and environment variables) and set any required environment variables in `.env.local`. Restart the app to discover the new tools.
You need Node.js (LTS), npm or yarn, uv (Python package manager), Docker (for GitHub MCP server), and API keys for the LLM providers you want to use, plus a GitHub Personal Access Token and GSuite OAuth2 credentials if using those servers.
The chat API initializes MCP clients via `experimental_createMCPClient` and `StdioMCPTransport`, fetches tool schemas dynamically, and passes them to the Vercel AI SDK's `streamText` function with `maxSteps > 1`. The SDK handles multi‑step conversation flow, including automatic tool invocation.
Anthropic tools are currently disabled due to an SDK incompatibility with stdio tools. Also, some MCP servers (e.g., WhatsApp) require a separate Go bridge to be running.
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