General
PromptBeginner5 minmarkdown
async def interactive_tool(resource_id: str
ctx: Context) -> str:
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General
PromptBeginner5 minmarkdown
await ctx.log_info(Processing query
{query: query
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General
PromptBeginner5 minmarkdown
await ctx.report_progress(0.75
Formatting results...)
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General
PromptBeginner5 minmarkdown
async def advanced_search(query: str
ctx: Context) -> str:
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General
PromptBeginner5 minmarkdown
from mcp.server.fastmcp import FastMCP
Context
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General
PromptBeginner5 minmarkdown
return json.dumps(response
indent=2)
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General
PromptBeginner5 minmarkdown
lines = [f# User Search Results: '{params.query}'
"]
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Data
PromptBeginner5 minmarkdown
users = data.get(users
[])
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Data
PromptBeginner5 minmarkdown
total = data.get(total
0)
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General
PromptBeginner5 minmarkdown
elif isinstance(e
httpx.TimeoutException):
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General
PromptBeginner5 minmarkdown
if isinstance(e
httpx.HTTPStatusError):
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General
PromptBeginner5 minmarkdown
def validate_query(cls
v: str) -> str:
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General
PromptBeginner5 minmarkdown
offset: Optional[int] = Field(default=0
description=Number of results to skip for pagination
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General
PromptBeginner5 minmarkdown
response_format: ResponseFormat = Field(default=ResponseFormat.MARKDOWN
description=Output format)
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General
PromptBeginner5 minmarkdown
class ResponseFormat(str
Enum):
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General
PromptBeginner5 minmarkdown
limit: Optional[int] = Field(default=20
description=Maximum results to return
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General
PromptBeginner5 minmarkdown
from pydantic import BaseModel
Field
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Data
PromptBeginner5 minmarkdown
project management
and data export capabilities.
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General
PromptBeginner5 minmarkdown
from typing import Optional
List
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General
PromptBeginner5 minmarkdown
name: str
# Full name (e.g.
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General
PromptBeginner5 minmarkdown
id: str
# User ID (e.g.
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General
PromptBeginner5 minmarkdown
offset: int
# Current pagination offset
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General
PromptBeginner5 minmarkdown
count: int
# Number of results in this response
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General
PromptBeginner5 minmarkdown
total: int
# Total number of matches found
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