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Are there any resources for building the LLM side of MCP so we can use the servers with our own integration? Is there a specific schema for exposing MCP information to tool or computer use?


Both Python and Typescript SDK can be used to build a client. https://github.com/modelcontextprotocol/typescript-sdk/tree/... and https://github.com/modelcontextprotocol/python-sdk/tree/main.... The TypeScript client is widely used, while the Python side is more experimental.

In addition, I recommend looking at the specification documentation at https://spec.modelcontextprotocol.io. This should give you a good overview of how to implement a client. If you are looking to see an implemented open source client, Zed implements an MCP client: https://github.com/zed-industries/zed/tree/main/crates/conte...

If you have specific questions, please feel free to start a discussion on the respective https://github.com/modelcontextprotocol discussion, and we are happy to help you with integrating MCP.


Thanks! Do Anthropic models get extra training/RLHF/fine-tuning for MCP use or is it an extension of tool use?




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