mcp-demo
MCP 服务配置
复制以下 JSON 到 OPClaw 或其他 MCP 客户端的配置文件中即可使用
{
"mcpServers": {
"unsplash-mcp-server": {
"args": [
"--directory",
".",
"run",
"server.py"
],
"command": "uv"
}
}
}
服务介绍
MCP Demo: Country Explorer with LangGraph
Country Explorer: MCP + LangGraph Integration
This project demonstrates a complete MCP (Model Context Protocol) server integrated with LangGraph to create beautiful country profiles with embedded images.
Features
- MCP Server with Unsplash Search API integration
- LangGraph Agent for intelligent country exploration
- 10 Images per Country with photographer credits
- Beautiful Markdown Profiles with embedded images
- Comprehensive Test Suite for validation
- Organized Project Structure with
profiles/andtests/folders
Project Structure
mcp-demo/
country_explorer.py # Main LangGraph app (10 images)
server.py # MCP server with Unsplash API
profiles/ # Generated country profiles
india_profile.md
japan_profile.md
uganda_profile.md
usa_profile.md
tests/ # Test files
test_country_explorer.py
test_unsplash.py
search_5_mountains.py
.env # API keys
Quick Start
Prerequisites
- Python 3.13+
- Unsplash API key
- OpenAI API key
Installation
-
Clone the repository:
git clone https://github.com/anilsharmay/mcp-demo.git cd mcp-demo -
Install dependencies:
uv sync -
Configure environment variables:
Create.envfile with your API keys:UNSPLASH_API_KEY=your_unsplash_api_key_here OPENAI_API_KEY=your_openai_api_key_here TAVILY_API_KEY=your_tavily_api_key_here
Running the Country Explorer
-
Start the MCP server:
uv run mcp dev server.py -
Run the Country Explorer:
uv run python country_explorer.py -
Run tests:
cd tests && uv run python test_country_explorer.py
MCP Server Tools
The MCP server provides these tools:
unsplash_search: Search for beautiful images with orientation filtersweb_search: Search the web for country informationroll_dice: Roll dice with custom notation
LangGraph Agent
The Country Explorer agent:
- Researches countries using web search
- Finds 10 beautiful images via Unsplash
- Creates rich markdown profiles with embedded images
- Includes photographer credits and links
Sample Output
Each country profile includes:
- Cultural information and history
- Geographic details and landmarks
- 10 high-quality images with credits
- Clean markdown formatting for easy viewing
Demo GIFs
India Profile:

Switzerland Profile:

USA Profile:

Testing
Run the comprehensive test suite:
# Test MCP server
uv run python tests/test_unsplash.py
# Test Country Explorer
cd tests && uv run python test_country_explorer.py
# Test mountain search
uv run python tests/search_5_mountains.py
MCP Configuration
Add to your Cursor MCP settings:
{
"mcpServers": {
"unsplash-mcp-server": {
"command": "uv",
"args": ["--directory", ".", "run", "server.py"]
}
}
}
Technologies Used
- MCP (Model Context Protocol) - Server framework
- LangGraph - Agent orchestration
- LangChain MCP Adapters - Tool integration
- Unsplash API - Image search
- OpenAI GPT-4 - Language model
- Python 3.13 - Runtime environment
Showcase
This project demonstrates:
- MCP Server Development with custom API integration
- LangGraph Agent Creation with tool orchestration
- Beautiful Output Generation with embedded images
- Clean Project Organization and testing
- Real-world Application of AI agent frameworks
Perfect for showcasing MCP + LangGraph integration!