- pre_parse_json leaves a string alone when json.loads refuses it with something other than JSONDecodeError (over-long integer, deep nesting), so validation rejects it as a bad argument instead of it surfacing as a crash with a traceback per request. - convert_result skips output-schema validation for a returned CallToolResult(is_error=True); an error result has no structured content to check, and the author's message now reaches the client as written. - read_resource checks that Resource.read() returned str or bytes, so a mistyped custom resource is logged as a crash and answered with -32603 rather than "Invalid request parameters" with no log record. - Docs and examples that still said "raise any exception and the model reads it" now say ToolError; deprecated.md lists the deprecated FuncMetadata helper; docstrings spell out the MCPError carve-out and the nested-crash __cause__. - Two tests tightened: the prompt argument-validation test proves the body never ran, and the invalid-types check asserts on validate_arguments.
MCP Python SDK
Note
This is v2 of the MCP Python SDK, the current stable release line. It is a major rework of the SDK, both to support the 2026-07-28 MCP specification (and every earlier revision) and to fix long-standing architectural issues. Coming from v1? See What's new in v2 for the tour of what changed and the migration guide for every breaking change.
Not ready to migrate? v1.x lives on the
v1.xbranch, continues to receive critical bug fixes and security patches, and is documented at https://py.sdk.modelcontextprotocol.io/v1/. Sincepip install mcpnow installs 2.x, keep a<2upper bound on your requirement (for examplemcp>=1.28,<2) until you've migrated.Something rough, confusing, or broken? Open an issue or find us in #python-sdk-dev on the MCP Contributors Discord.
Documentation
The documentation lives at https://py.sdk.modelcontextprotocol.io/.
It has a Get started guide, What's new in v2, the API reference, and the migration guide.
What is MCP?
The Model Context Protocol lets you build servers that expose data and functionality to LLM applications in a secure, standardized way. Think of it like a web API, but designed for LLM interactions. With this SDK you can:
- Build MCP servers that expose tools, resources, and prompts to any MCP host
- Build MCP clients that connect to any MCP server
- Speak every standard transport: stdio, Streamable HTTP, and SSE
Requirements
Python 3.10+.
Installation
uv add "mcp[cli]" # or: pip install "mcp[cli]"
The cli extra adds the mcp command-line tool (mcp dev, mcp run, mcp install) on top of the SDK; install plain mcp if you don't need it. For one-off commands, uv run --with "mcp[cli]" mcp ... works without a project.
A server in 15 lines
Create a server.py:
from mcp.server import MCPServer
mcp = MCPServer("Demo")
@mcp.tool()
def add(a: int, b: int) -> int:
"""Add two numbers."""
return a + b
@mcp.resource("greeting://{name}")
def greeting(name: str) -> str:
"""Greet someone by name."""
return f"Hello, {name}!"
Full example: docs_src/index/tutorial001.py
That's a complete MCP server: one tool, one templated resource. Open it in the MCP Inspector:
uv run mcp dev server.py
Call add with a=1, b=2 and you get 3 back.
Notice what you did not write: no JSON Schema (a: int, b: int is the schema), no request parsing, no validation code, no protocol handling. Two type-hinted Python functions and a docstring.
Get started takes it from here.
A client in 10 lines
The same package is a full MCP client. Serve server.py over HTTP:
uv run mcp run server.py --transport streamable-http
then point a Client at it:
import asyncio
from mcp import Client
async def main() -> None:
async with Client("http://localhost:8000/mcp") as client:
result = await client.call_tool("add", {"a": 1, "b": 2})
print(result.structured_content) # {'result': 3}
asyncio.run(main())
A URL means Streamable HTTP, the transport you deploy. Client can also launch a local server as a stdio subprocess or take any custom transport; Clients has the rest.
Contributing
We are passionate about supporting contributors of all levels of experience and would love to see you get involved in the project. See the contributing guide to get started.
License
This project is licensed under the MIT License. See the LICENSE file for details.