MCP-powered Ultimate AI Assistant

A Streamlit application that provides a chat interface for interacting with MCP (Model Context Protocol) servers. This app allows you to configure multiple MCP servers and chat with them using natural language.

Tech stack:

• mcp-use to connect LLM to MCP servers
• Stagehand MCP for browser access
• Firecrawl MCP for scraping
• Ragie MCP for multimodal RAG
• Graphiti MCP as memory
• Terminal & GitIngest MCP

Setup

1. Install Dependencies:

   uv sync

2. Environment Variables: Create a .env file with your API keys:

   OPENAI_API_KEY=your-openai-api-key
   FIRECRAWL_API_KEY=your-firecrawl-api-key
   RAGIE_API_KEY=your-ragie-api-key

3. Setup MCP Servers

   Go to server.py and update the paths to the MCP servers according to your system.

4. Run the App:

   streamlit run mcp_streamlit_app.py

Usage

1. Configure MCP Servers:

   • Use the sidebar to enter your MCP server configuration in JSON format
   • Click "Load Example Config" to see a sample configuration
   • Click "Activate Configuration" to initialize the MCP client

2. Chat with MCP Tools:

   • Once configured, use the chat interface to interact with your MCP servers
   • Ask questions about available tools or request specific actions
   • The agent will use the appropriate MCP tools to respond

Example Configuration

{
  "mcpServers": {
    "stagehand": {
      "command": "node",
      "args": ["/path/to/stagehand/dist/index.js"],
      "env": {
        "OPENAI_API_KEY": "your-api-key",
        "LOCAL_CDP_URL": "http://localhost:9222"
      }
    },
    "firecrawl": {
      "command": "npx",
      "args": ["-y", "firecrawl-mcp"],
      "env": {
        "FIRECRAWL_API_KEY": "your-firecrawl-key"
      }
    }
  }
}

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Contribution