MCP Agent

Name: MCP Agent
Author: allanbrewer

@allanbrewer

Repository

About MCP Agent

LLM agent to connect with MCP servers

Basic information

Config

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"
      ]
    }
  }
}

Tools

No tools detected

We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.

Overview

What is MCP Agent?

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.

How to use MCP Agent?

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.

Key features of MCP Agent

Supports Google Gemini, Anthropic Claude, OpenAI GPT, and xAI Grok
Integrates MCP servers for WhatsApp, GitHub, GSuite, and DuckDuckGo search
Chat persistence using Prisma and SQLite
Multi‑step tool execution via Vercel AI SDK's streamText
Dynamic tool discovery from MCP server configurations
Sidebar UI for provider/model selection and chat history management

Use cases of MCP Agent

Search the web for current information using DuckDuckGo MCP server
Retrieve and manage GitHub issues, pull requests, and repositories
Send WhatsApp messages via the WhatsApp MCP server
Check Google Calendar events or access GSuite data

FAQ from MCP Agent

Which LLMs does MCP Agent support?

It supports Google Gemini, Anthropic Claude, OpenAI GPT, and xAI Grok via the Vercel AI SDK.

How do I add a new MCP server?

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.

What are the prerequisites to run MCP Agent?

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.

How does tool calling work in MCP Agent?

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.

Are there any known limitations?

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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