General
PromptBeginner5 minmarkdown
from abc import ABC
abstractmethod
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General
PromptBeginner5 minmarkdown
- [ ] Context injection used for logging
progress
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General
PromptBeginner5 minmarkdown
- [ ] Structured output types used (TypedDict
Pydantic models)
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General
PromptBeginner5 minmarkdown
- [ ] Annotations correctly set (readOnlyHint
destructiveHint
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General
PromptBeginner5 minmarkdown
- [ ] Error messages are clear
actionable
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Coding & Debugging
PromptBeginner5 minmarkdown
Before finalizing your Python MCP server implementation
ensure:
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Coding & Debugging
PromptBeginner5 minmarkdown
- [ ] Tools enable complete workflows
not just API endpoint wrappers
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General
PromptBeginner5 minmarkdown
- Common operations like pagination
filtering
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General
PromptBeginner5 minmarkdown
5. **Error Handling**: Use specific exception types (httpx.HTTPStatusError
not generic Exception)
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General
PromptBeginner5 minmarkdown
- If you find yourself writing similar logic twice
extract it into a function
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General
PromptBeginner5 minmarkdown
- **Streamable HTTP**: Web services
remote access
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General
PromptBeginner5 minmarkdown
- **stdio**: Command-line tools
local integrations
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General
PromptBeginner5 minmarkdown
mcp = FastMCP(example_mcp
lifespan=app_lifespan)
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Data
PromptBeginner5 minmarkdown
async def query_data(query: str
ctx: Context) -> str:
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General
PromptBeginner5 minmarkdown
mcp.run(transport=streamable_http
port=8000)
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General
PromptBeginner5 minmarkdown
# Initialize connections
load config
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Data
PromptBeginner5 minmarkdown
metadata: Dict[str
Any]
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General
PromptBeginner5 minmarkdown
yield {db: db
config: config}
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General
PromptBeginner5 minmarkdown
return {id: user_id
name: John Doe
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General
PromptBeginner5 minmarkdown
return json.dumps(settings.get(key
{}))
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General
PromptBeginner5 minmarkdown
async def get_setting(key: str
ctx: Context) -> str:
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General
PromptBeginner5 minmarkdown
with open(document_path
r) as f:
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General
PromptBeginner5 minmarkdown
- `ctx.elicit(prompt
input_type)` - Request input from users
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Data
PromptBeginner5 minmarkdown
Expose data as resources for efficient
template-based access:
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