Which LLMs does MCP Agent support?
It supports Google Gemini, Anthropic Claude, OpenAI GPT, and xAI Grok via the Vercel AI SDK.
@allanbrewer
Basic information
LLM agent to connect with MCP servers
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"mcp-agent-allanbrewer": {
"command": "npx",
"args": [
"prisma",
"migrate",
"dev",
"--name",
"init",
"#",
"Or",
"your",
"latest",
"migration",
"name"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
Fetch the live tool list by running this server in a temporary sandbox using the button above.
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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