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Hi there, first of I come from really liking fastAPI and so fastMCP feels really great thank for this amazing contribution to the python MCP community.
I am the main maintainer of mcpadapt we are adapting MCP servers tools to many agentic frameworks. We are basically how MCP works in huggingface smolagents and soon CrewAI but we also support other frameworks...
More and more people are asking for mcpadapt to turn into a MCP client, at least to refresh the tools, etc... And my idea was to start implementing more support for client capabilities: support for resources, support for authentication, support for prompts, maybe sampling etc...
I didn't look into fastmcp since it was integrated in the official python-sdk, to be honest I thought that was it for this project. But glad to see a v2 came out. Now it seems in v2 that many client feature were developed and here I see a potential for synergy.
My idea: we could use the base of fastmcp (client) and leverage mcpdapt adapter to adapt fastmcp clients to the various agentic frameworks out there. Concretly what the adapter does is to make sure the tools, resources and other output from the mcp server match with the requirements of the agentic framework. We could leverage the integration of mcpadapt into smolagents and CrewAI to quickly enable more than just tools to be used and make sure agentic framework leverage the full MCP protocol and not just the current hype of tools.
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Hi there, first of I come from really liking fastAPI and so fastMCP feels really great thank for this amazing contribution to the python MCP community.
I am the main maintainer of mcpadapt we are adapting MCP servers tools to many agentic frameworks. We are basically how MCP works in huggingface smolagents and soon CrewAI but we also support other frameworks...
More and more people are asking for mcpadapt to turn into a MCP client, at least to refresh the tools, etc... And my idea was to start implementing more support for client capabilities: support for resources, support for authentication, support for prompts, maybe sampling etc...
I didn't look into fastmcp since it was integrated in the official python-sdk, to be honest I thought that was it for this project. But glad to see a v2 came out. Now it seems in v2 that many client feature were developed and here I see a potential for synergy.
My idea: we could use the base of fastmcp (client) and leverage mcpdapt adapter to adapt fastmcp clients to the various agentic frameworks out there. Concretly what the adapter does is to make sure the tools, resources and other output from the mcp server match with the requirements of the agentic framework. We could leverage the integration of mcpadapt into smolagents and CrewAI to quickly enable more than just tools to be used and make sure agentic framework leverage the full MCP protocol and not just the current hype of tools.
WDYT?
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