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URL: http://github.com/modelcontextprotocol/python-sdk/commit/c92bb2f7ffaa61813d7cc350887f4ece38307769

sorigen="anonymous" media="all" rel="stylesheet" href="https://github.githubassets.com/assets/global-0bd78641c0a1f3e0.css" /> SEP-1686: Tasks (#1645) · modelcontextprotocol/python-sdk@c92bb2f · GitHub
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SEP-1686: Tasks (#1645)
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‎README.md‎

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## Documentation
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- [API Reference](https://modelcontextprotocol.github.io/python-sdk/api/)
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- [Experimental Features (Tasks)](https://modelcontextprotocol.github.io/python-sdk/experimental/tasks/)
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- [Model Context Protocol documentation](https://modelcontextprotocol.io)
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- [Model Context Protocol specification](https://modelcontextprotocol.io/specification/latest)
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- [Officially supported servers](https://github.com/modelcontextprotocol/servers)

‎docs/experimental/index.md‎

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# Experimental Features
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!!! warning "Experimental APIs"
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The features in this section are experimental and may change without notice.
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They track the evolving MCP specification and are not yet stable.
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This section documents experimental features in the MCP Python SDK. These features
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implement draft specifications that are still being refined.
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## Available Experimental Features
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### [Tasks](tasks.md)
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Tasks enable asynchronous execution of MCP operations. Instead of waiting for a
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long-running operation to complete, the server returns a task reference immediately.
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Clients can then poll for status updates and retrieve results when ready.
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Tasks are useful for:
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- **Long-running computations** that would otherwise block
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- **Batch operations** that process many items
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- **Interactive workflows** that require user input (elicitation) or LLM assistance (sampling)
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## Using Experimental APIs
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Experimental features are accessed via the `.experimental` property:
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```python
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# Server-side
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@server.experimental.get_task()
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async def handle_get_task(request: GetTaskRequest) -> GetTaskResult:
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...
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# Client-side
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result = await session.experimental.call_tool_as_task("tool_name", {"arg": "value"})
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```
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## Providing Feedback
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Since these features are experimental, feedback is especially valuable. If you encounter
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issues or have suggestions, please open an issue on the
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[python-sdk repository](https://github.com/modelcontextprotocol/python-sdk/issues).

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