広告掲載
MCP.so
ログイン

Advanced MCP Agent Streamlit App

@Rizwankaka

リポジトリ

基本情報

カテゴリ

AI とエージェント

トランスポート

stdio

作者

Rizwankaka

Advanced MCP Agent Streamlit App について

using different mcp servers to automate the tasks

#mcp-agent#streamlit#automation

Advanced MCP Agent Streamlit App の設定

以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。

{
  "mcpServers": {
    "mcp-brower-use": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

Advanced MCP Agent Streamlit App のツール

ツール一覧はまだありません

この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。

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 Advanced MCP Agent Streamlit App?

A modern Streamlit application that demonstrates the capabilities of the MCPAgent with built-in conversation memory. It provides an interactive chat interface, web browsing and search capabilities, and model selection from available models. Designed for developers and users exploring AI agent interactions.

How to use Advanced MCP Agent Streamlit App?

Install dependencies with pip install -e . or uv pip install -e ., set the GROQ_API_KEY environment variable in a .env file, then run streamlit run app.py. The app uses browser_mcp.json for configuration. Use the "New Conversation" button to reset the session.

Key features of Advanced MCP Agent Streamlit App

  • 🤖 Interactive chat interface with the MCPAgent
  • 🧠 Built-in conversation memory for contextual interactions
  • 🌐 Web browsing and search capabilities
  • 🔄 Model selection from available models
  • 📱 Responsive design with modern UI

Use cases of Advanced MCP Agent Streamlit App

  • Conduct interactive conversations with an AI agent that maintains context
  • Perform web browsing and search tasks through the agent
  • Test and compare different models using the model selection feature
  • Explore the MCPAgent’s capabilities in a demo environment
  • Experiment with conversation memory in a session-based app

よくある質問

1

What is required to run the app?

Python 3.11 or newer, dependencies installed, and a `GROQ_API_KEY` set in a `.env` file.

2

How do I install dependencies?

Run `pip install -e .` or `uv pip install -e .` from the project directory.

3

How do I start the app?

Run `streamlit run app.py` in the terminal.

4

How does conversation memory work?

The app uses Streamlit’s session state to maintain conversation history during the session. You can start a new conversation with the "New Conversation" button.

5

What configuration file is used?

The app uses `browser_mcp.json` for configuration, allowing modification of available models and other settings.

コメント

「AI とエージェント」の他のコンテンツ

superbot

EZO Labs

superbot is your own AI agent: anything you can do on your computer, it can do, fast. Its MCP server gives other agents one tool for errands: fax, calls, texts, Gmail drafts, calendar, web search. Free in your browser, n

F

fhirHydrant

faulkj

Open-source Node.js FHIR MCP server with SMART Backend Services, metadata-aware search/CRUD tools, compact responses, FHIRPath filtering, safe pagination, audit events, and terminology lookup.

14

Gemina

Gemina Tech Ltd.

Extract, search and tag any document — invoices, receipts, contracts, forms, or your own templates. 13 tools, one sign-in (OAuth 2.1) or API key, free FileTag tier, data residency in the EU, US, Israel or Asia.

Hostinger

hostinger

Model Context Protocol (MCP) server for Hostinger API. If you don't want to install or run anything locally, connect directly to Hostinger's hosted MCP server: This opens a browser window to authorize via OAuth. Once app

148

Pocket Network Agentic Marketplace: Pay-per-Call APIs

Pocket Network Foundation

MCP server for the Pocket Network agentic marketplace: search our catalog of data services and utilities and call them, paying per request in USDC on Base with x402. No account or API key. Search and describe are free; p

広告掲載