modelcontextprotocol/python-sdk
Watch
1
0
Fork
You've already forked python-sdk
 0
Code Issues Pull requests Projects Releases Packages Wiki Activity Actions

refactor: use snake case instead of camel case in types (#1894)

Browse source
This commit is contained in:
Marcelo Trylesinski 2026-01-16 15:51:27 +01:00 • committed by GitHub
commit e94b386a13
No known key found for this signature in database
GPG key ID: B5690EEEBB952194
3 changed files with 1063 additions and 1057 deletions
Download patch file Download diff file Expand all files Collapse all files

2
examples/fastmcp/direct_call_tool_result_return.py
View file

@ -20,5 +20,5 @@ class EchoResponse(BaseModel):
def echo(text: str) -> Annotated[CallToolResult, EchoResponse]:
"""Echo the input text with structure and metadata"""
return CallToolResult(
content=[TextContent(type="text", text=text)], structuredContent={"text": text}, _meta={"some": "metadata"}
content=[TextContent(type="text", text=text)], structured_content={"text": text}, _meta={"some": "metadata"}
)

8
examples/fastmcp/icons_demo.py
View file

@ -14,7 +14,7 @@ icon_path = Path(__file__).parent / "mcp.png"
icon_data = base64.standard_b64encode(icon_path.read_bytes()).decode()
icon_data_uri = f"data:image/png;base64,{icon_data}"
icon_data = Icon(src=icon_data_uri, mimeType="image/png", sizes=["64x64"])
icon_data = Icon(src=icon_data_uri, mime_type="image/png", sizes=["64x64"])
# Create server with icons in implementation
mcp = FastMCP("Icons Demo Server", website_url="https://github.com/modelcontextprotocol/python-sdk", icons=[icon_data])
@ -40,9 +40,9 @@ def prompt_with_icon(text: str) -> str:
@mcp.tool(
icons=[
Icon(src=icon_data_uri, mimeType="image/png", sizes=["16x16"]),
Icon(src=icon_data_uri, mimeType="image/png", sizes=["32x32"]),
Icon(src=icon_data_uri, mimeType="image/png", sizes=["64x64"]),
Icon(src=icon_data_uri, mime_type="image/png", sizes=["16x16"]),
Icon(src=icon_data_uri, mime_type="image/png", sizes=["32x32"]),
Icon(src=icon_data_uri, mime_type="image/png", sizes=["64x64"]),
]
)
def multi_icon_tool(action: str) -> str:

18
examples/fastmcp/weather_structured.py
View file

@ -161,32 +161,32 @@ if __name__ == "__main__":
# Test get_weather
result = await client.call_tool("get_weather", {"city": "London"})
print("\nWeather in London:")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Test get_weather_summary
result = await client.call_tool("get_weather_summary", {"city": "Paris"})
print("\nWeather summary for Paris:")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Test get_weather_metrics
result = await client.call_tool("get_weather_metrics", {"cities": ["Tokyo", "Sydney", "Mumbai"]})
print("\nWeather metrics:")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Test get_weather_alerts
result = await client.call_tool("get_weather_alerts", {"region": "California"})
print("\nWeather alerts for California:")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Test get_temperature
result = await client.call_tool("get_temperature", {"city": "Berlin", "unit": "fahrenheit"})
print("\nTemperature in Berlin:")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Test get_weather_stats
result = await client.call_tool("get_weather_stats", {"city": "Seattle", "days": 30})
print("\nWeather stats for Seattle (30 days):")
print(json.dumps(result.structuredContent, indent=2))
print(json.dumps(result.structured_content, indent=2))
# Also show the text content for comparison
print("\nText content for last result:")
@ -204,11 +204,11 @@ if __name__ == "__main__":
print(f"\nTool: {tool.name}")
print(f"Description: {tool.description}")
print("Input Schema:")
print(json.dumps(tool.inputSchema, indent=2))
print(json.dumps(tool.input_schema, indent=2))
if tool.outputSchema:
if tool.output_schema:
print("Output Schema:")
print(json.dumps(tool.outputSchema, indent=2))
print(json.dumps(tool.output_schema, indent=2))
else:
print("Output Schema: None (returns unstructured content)")