.Net: Python: MCP Client support for Agents #11190
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I am currently working on something like this in Python #10778. I would be very happy to hear your feedback about this, the idea is pretty simple converting tools into KernelFunctions, internally SemanticKernel will send the Functions than as |
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### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Adds MCP server configs and a function that turns the server into a plugin, with each tools of the server represented as a function. Adds a sample showing how to use that with a Github MCP server. Closes: #10785 and #11190 With special thanks to @nmoeller ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄 --------- Co-authored-by: Nico Möller <[email protected]>
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…soft#11334) ### Motivation and Context <!-- Thank you for your contribution to the semantic-kernel repo! Please help reviewers and future users, providing the following information: 1. Why is this change required? 2. What problem does it solve? 3. What scenario does it contribute to? 4. If it fixes an open issue, please link to the issue here. --> Adds MCP server configs and a function that turns the server into a plugin, with each tools of the server represented as a function. Adds a sample showing how to use that with a Github MCP server. Closes: microsoft#10785 and microsoft#11190 With special thanks to @nmoeller ### Description <!-- Describe your changes, the overall approach, the underlying design. These notes will help understanding how your code works. Thanks! --> ### Contribution Checklist <!-- Before submitting this PR, please make sure: --> - [x] The code builds clean without any errors or warnings - [x] The PR follows the [SK Contribution Guidelines](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md) and the [pre-submission formatting script](https://github.com/microsoft/semantic-kernel/blob/main/CONTRIBUTING.md#development-scripts) raises no violations - [x] All unit tests pass, and I have added new tests where possible - [x] I didn't break anyone 😄 --------- Co-authored-by: Nico Möller <[email protected]>
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This is done and released in 1.28.1 |
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Feature Request: MCP Client support with Python Agents
Hi all,
I've been going deep into building custom agents in Python for a while, and noticed a huge feature gap that I think SK could benefit from filling. Anthrophic's
modelcontextprotocol/python-sdkdoesn't currently provide a good client implementation that acts as a 'translation layer' from MCP tools to the way model providers expect tools to be passed in. It actually just forces the docstrings into system prompt which is not great.This causes a huge headache making boilerplate to make my MCP tools understandable by Claude, OpenAI, etc.
The way this is done by other community-authored MCP clients/agents like Pydantic AI is by smartly reading docstrings in Google, Sphinx, or NumPy format. I think it would be super valuable to tackle this - with the rise of MCP, people know how to build servers - the 'agent' (client) is the new area that people need guidance on, which is where SK can help a lot here.
C# doesn't have this problem as there's interfaces via
Microsoft.Extensions.AI, but Python really feels this problem. I think there's a lot of value in solving this!The text was updated successfully, but these errors were encountered: