🚀 The fast, Pythonic way to build MCP servers and clients

agents fastmcp llms mcp mcp-clients mcp-servers mcp-tools model-context-protocol python
9 Open Issues Need Help Last updated: Dec 24, 2025

Open Issues Need Help

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AI Summary: This enhancement request points out that the literal value "http" is missing from the docstring for the `transport` parameter in the `mcp.run()` function. While it's present in the main documentation, its absence from the docstring prevents developers from seeing supported values directly when hovering over the function in an IDE.

Complexity: 1/5
documentation enhancement server good first issue

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python
enhancement server good first issue auth

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python
enhancement server good first issue

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python

AI Summary: The GitHub issue reports a missing `ArgTransform` import in a code snippet within the "Passing Arguments with **kwargs" section of the Tool Transformation documentation. The provided example code demonstrates the missing import, which is necessary for the `transform_args` dictionary.

Complexity: 1/5
bug documentation good first issue

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python

AI Summary: This feature request aims to allow users to control the verbosity of tool descriptions generated by `FastMCP.from_fastapi()`. Currently, descriptions are overly verbose, including query parameters and response details. The primary proposed solution is to use FastAPI function docstrings as the concise tool description, with a secondary option for a custom description formatter.

Complexity: 2/5
enhancement openapi good first issue

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python
enhancement good first issue cli

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python
enhancement good first issue low-priority

🚀 The fast, Pythonic way to build MCP servers and clients

Python
#agents#fastmcp#llms#mcp#mcp-clients#mcp-servers#mcp-tools#model-context-protocol#python