This project demonstrates how to create and use a Model Context Protocol (MCP) server that can provide custom tools and resources to AI assistants. It includes simple math operations, dynamic greetings, and web crawling capabilities.
This project demonstrates how to create and use a Model Context Protocol (MCP) server that can provide custom tools and resources to AI assistants. It includes simple math operations, dynamic greetings, and web crawling capabilities.
python first-mcp.pyAdd this configuration to your claude_desktop_config.json:
{
"mcpServers": {
"mcp-server-poc": {
"command": "npx",
"args": [
"-y",
"python first-mcp.py"
]
}
}
}Restart Claude Desktop, then ask:
"What tools do you have available from MCP Server POC?"
No configuration required. This server works out of the box.
"What resources are available in MCP Server POC?"
Claude will query available resources and return a list of what you can access.
"Show me details about [specific item] in MCP Server POC"
Claude will fetch and display detailed information about the requested item.
"Create a new [item] in MCP Server POC with [details]"
Claude will use the appropriate tool to create the resource and confirm success.
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