Marcelo Trylesinski
58 lines
1.8 KiB
Markdown
58 lines
1.8 KiB
Markdown
# MCP Python SDK
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The **Model Context Protocol (MCP)** allows applications to provide context for LLMs in a standardized way, separating the concerns of providing context from the actual LLM interaction.
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This Python SDK implements the full MCP specification, making it easy to:
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- **Build MCP servers** that expose resources, prompts, and tools
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- **Create MCP clients** that can connect to any MCP server
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- **Use standard transports** like stdio, SSE, and Streamable HTTP
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If you want to read more about the specification, please visit the [MCP documentation](https://modelcontextprotocol.io).
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## Quick Example
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Here's a simple MCP server that exposes a tool, resource, and prompt:
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```python title="server.py"
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from mcp.server.fastmcp import FastMCP
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mcp = FastMCP("Test Server")
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@mcp.tool()
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def add(a: int, b: int) -> int:
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"""Add two numbers"""
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return a + b
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@mcp.resource("greeting://{name}")
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def get_greeting(name: str) -> str:
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"""Get a personalized greeting"""
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return f"Hello, {name}!"
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@mcp.prompt()
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def greet_user(name: str, style: str = "friendly") -> str:
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"""Generate a greeting prompt"""
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return f"Write a {style} greeting for someone named {name}."
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```
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Test it with the [MCP Inspector](https://github.com/modelcontextprotocol/inspector):
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```bash
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uv run mcp dev server.py
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```
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## Getting Started
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<!-- TODO(Marcelo): automatically generate the follow references with a header on each of those files. -->
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1. **[Install](installation.md)** the MCP SDK
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2. **[Learn concepts](concepts.md)** - understand the three primitives and architecture
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3. **[Explore authorization](authorization.md)** - add security to your servers
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4. **[Use low-level APIs](low-level-server.md)** - for advanced customization
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## API Reference
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Full API documentation is available in the [API Reference](api.md).
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