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import asyncio
from contextlib import asynccontextmanager
from dataclasses import dataclass
from typing import AsyncIterator, List, Optional, Dict, Any
from datetime import datetime
from mcp.server.fastmcp import FastMCP, Context
# Instead of importing Error from mcp.server.fastmcp.tools, we'll define our own Error class
# or we can use standard exceptions for now
from .api import StackExchangeAPI
from .types import (
SearchByQueryInput,
SearchByErrorInput,
GetQuestionInput,
AdvancedSearchInput,
SearchResult
)
from .formatter import format_response
from .env import STACK_EXCHANGE_API_KEY
@dataclass
class AppContext:
api: StackExchangeAPI
@asynccontextmanager
async def app_lifespan(server: FastMCP) -> AsyncIterator[AppContext]:
"""Manage application lifecycle with the Stack Exchange API client.
Args:
server (FastMCP): The FastMCP server instance
Returns:
AsyncIterator[AppContext]: Context containing the API client
"""
api = StackExchangeAPI(
api_key=STACK_EXCHANGE_API_KEY,
)
try:
yield AppContext(api=api)
finally:
await api.close()
mcp = FastMCP(
"Stack Overflow MCP",
lifespan=app_lifespan,
dependencies=["httpx", "python-dotenv"]
)
@mcp.tool()
async def advanced_search(
query: Optional[str] = None,
tags: Optional[List[str]] = None,
excluded_tags: Optional[List[str]] = None,
min_score: Optional[int] = None,
title: Optional[str] = None,
body: Optional[str] = None,
answers: Optional[int] = None,
has_accepted_answer: Optional[bool] = None,
views: Optional[int] = None,
url: Optional[str] = None,
user_id: Optional[int] = None,
is_closed: Optional[bool] = None,
is_wiki: Optional[bool] = None,
is_migrated: Optional[bool] = None,
has_notice: Optional[bool] = None,
from_date: Optional[datetime] = None,
to_date: Optional[datetime] = None,
sort_by: Optional[str] = "votes",
include_comments: Optional[bool] = False,
response_format: Optional[str] = "markdown",
limit: Optional[int] = 5,
ctx: Context = None
) -> str:
"""Advanced search for Stack Overflow questions with many filter options.
Args:
query (Optional[str]): Free-form search query
tags (Optional[List[str]]): List of tags to filter by
excluded_tags (Optional[List[str]]): List of tags to exclude
min_score (Optional[int]): Minimum score threshold
title (Optional[str]): Text that must appear in the title
body (Optional[str]): Text that must appear in the body
answers (Optional[int]): Minimum number of answers
has_accepted_answer (Optional[bool]): Whether questions must have an accepted answer
views (Optional[int]): Minimum number of views
url (Optional[str]): URL that must be contained in the post
user_id (Optional[int]): ID of the user who must own the questions
is_closed (Optional[bool]): Whether to return only closed or open questions
is_wiki (Optional[bool]): Whether to return only community wiki questions
is_migrated (Optional[bool]): Whether to return only migrated questions
has_notice (Optional[bool]): Whether to return only questions with post notices
from_date (Optional[datetime]): Earliest creation date
to_date (Optional[datetime]): Latest creation date
sort_by (Optional[str]): Field to sort by (activity, creation, votes, relevance)
include_comments (Optional[bool]): Whether to include comments in results
response_format (Optional[str]): Format of response ("json" or "markdown")
limit (Optional[int]): Maximum number of results to return
ctx (Context): The context is passed automatically by the MCP
Returns:
str: Formatted search results
"""
try:
api = ctx.request_context.lifespan_context.api
ctx.debug(f"Performing advanced search on Stack Overflow")
if query:
ctx.debug(f"Query: {query}")
if body:
ctx.debug(f"Body: {body}")
if tags:
ctx.debug(f"Tags: {', '.join(tags)}")
if excluded_tags:
ctx.debug(f"Excluded tags: {', '.join(excluded_tags)}")
results = await api.advanced_search(
query=query,
tags=tags,
excluded_tags=excluded_tags,
min_score=min_score,
title=title,
body=body,
answers=answers,
has_accepted_answer=has_accepted_answer,
views=views,
url=url,
user_id=user_id,
is_closed=is_closed,
is_wiki=is_wiki,
is_migrated=is_migrated,
has_notice=has_notice,
from_date=from_date,
to_date=to_date,
sort_by=sort_by,
limit=limit,
include_comments=include_comments
)
ctx.debug(f"Found {len(results)} results")
return format_response(results, response_format)
except Exception as e:
ctx.error(f"Error performing advanced search on Stack Overflow: {str(e)}")
raise RuntimeError(f"Failed to search Stack Overflow: {str(e)}")
@mcp.tool()
async def search_by_query(
query: str,
tags: Optional[List[str]] = None,
excluded_tags: Optional[List[str]] = None,
min_score: Optional[int] = None,
title: Optional[str] = None,
body: Optional[str] = None,
has_accepted_answer: Optional[bool] = None,
answers: Optional[int] = None,
sort_by: Optional[str] = "votes",
include_comments: Optional[bool] = False,
response_format: Optional[str] = "markdown",
limit: Optional[int] = 5,
ctx: Context = None
) -> str:
"""Search Stack Overflow for questions matching a query.
Args:
query (str): The search query
tags (Optional[List[str]]): Optional list of tags to filter by (e.g., ["python", "pandas"])
excluded_tags (Optional[List[str]]): Optional list of tags to exclude
min_score (Optional[int]): Minimum score threshold for questions
title (Optional[str]): Text that must appear in the title
body (Optional[str]): Text that must appear in the body
has_accepted_answer (Optional[bool]): Whether questions must have an accepted answer
answers (Optional[int]): Minimum number of answers
sort_by (Optional[str]): Field to sort by (activity, creation, votes, relevance)
include_comments (Optional[bool]): Whether to include comments in results
response_format (Optional[str]): Format of response ("json" or "markdown")
limit (Optional[int]): Maximum number of results to return
ctx (Context): The context is passed automatically by the MCP
Returns:
str: Formatted search results
"""
try:
api = ctx.request_context.lifespan_context.api
ctx.debug(f"Searching Stack Overflow for: {query}")
if tags:
ctx.debug(f"Filtering by tags: {', '.join(tags)}")
if excluded_tags:
ctx.debug(f"Excluding tags: {', '.join(excluded_tags)}")
results = await api.search_by_query(
query=query,
tags=tags,
excluded_tags=excluded_tags,
min_score=min_score,
title=title,
body=body,
has_accepted_answer=has_accepted_answer,
answers=answers,
sort_by=sort_by,
limit=limit,
include_comments=include_comments
)
ctx.debug(f"Found {len(results)} results")
return format_response(results, response_format)
except Exception as e:
ctx.error(f"Error searching Stack Overflow: {str(e)}")
raise RuntimeError(f"Failed to search Stack Overflow: {str(e)}")
@mcp.tool()
async def search_by_error(
error_message: str,
language: Optional[str] = None,
technologies: Optional[List[str]] = None,
excluded_tags: Optional[List[str]] = None,
min_score: Optional[int] = None,
has_accepted_answer: Optional[bool] = None,
answers: Optional[int] = None,
include_comments: Optional[bool] = False,
response_format: Optional[str] = "markdown",
limit: Optional[int] = 5,
ctx: Context = None
) -> str:
"""Search Stack Overflow for solutions to an error message
Args:
error_message (str): The error message to search for
language (Optional[str]): Programming language (e.g., "python", "javascript")
technologies (Optional[List[str]]): Related technologies (e.g., ["react", "django"])
excluded_tags (Optional[List[str]]): Optional list of tags to exclude
min_score (Optional[int]): Minimum score threshold for questions
has_accepted_answer (Optional[bool]): Whether questions must have an accepted answer
answers (Optional[int]): Minimum number of answers
include_comments (Optional[bool]): Whether to include comments in results
response_format (Optional[str]): Format of response ("json" or "markdown")
limit (Optional[int]): Maximum number of results to return
ctx (Context): The context is passed automatically by the MCP
Returns:
str: Formatted search results
"""
try:
api = ctx.request_context.lifespan_context.api
tags = []
if language:
tags.append(language.lower())
if technologies:
tags.extend([t.lower() for t in technologies])
ctx.debug(f"Searching Stack Overflow for error: {error_message}")
if tags:
ctx.debug(f"Using tags: {', '.join(tags)}")
if excluded_tags:
ctx.debug(f"Excluding tags: {', '.join(excluded_tags)}")
results = await api.search_by_query(
query=error_message,
tags=tags if tags else None,
excluded_tags=excluded_tags,
min_score=min_score,
has_accepted_answer=has_accepted_answer,
answers=answers,
limit=limit,
include_comments=include_comments
)
ctx.debug(f"Found {len(results)} results")
return format_response(results, response_format)
except Exception as e:
ctx.error(f"Error searching Stack Overflow: {str(e)}")
raise RuntimeError(f"Failed to search Stack Overflow: {str(e)}")
@mcp.tool()
async def get_question(
question_id: int,
include_comments: Optional[bool] = True,
response_format: Optional[str] = "markdown",
ctx: Context = None
) -> str:
"""Get a specific Stack Overflow question by ID.
Args:
question_id (int): The Stack Overflow question ID
include_comments (Optional[bool]): Whether to include comments in results
response_format (Optional[str]): Format of response ("json" or "markdown")
ctx (Context): The context is passed automatically by the MCP
Returns:
str: Formatted question details
"""
try:
api = ctx.request_context.lifespan_context.api
ctx.debug(f"Fetching Stack Overflow question: {question_id}")
result = await api.get_question(
question_id=question_id,
include_comments=include_comments
)
return format_response([result], response_format)
except Exception as e:
ctx.error(f"Error fetching Stack Overflow question: {str(e)}")
raise RuntimeError(f"Failed to fetch Stack Overflow question: {str(e)}")
@mcp.tool()
async def analyze_stack_trace(
stack_trace: str,
language: str,
excluded_tags: Optional[List[str]] = None,
min_score: Optional[int] = None,
has_accepted_answer: Optional[bool] = None,
answers: Optional[int] = None,
include_comments: Optional[bool] = True,
response_format: Optional[str] = "markdown",
limit: Optional[int] = 3,
ctx: Context = None
) -> str:
"""Analyze a stack trace and find relevant solutions on Stack Overflow.
Args:
stack_trace (str): The stack trace to analyze
language (str): Programming language of the stack trace
excluded_tags (Optional[List[str]]): Optional list of tags to exclude
min_score (Optional[int]): Minimum score threshold for questions
has_accepted_answer (Optional[bool]): Whether questions must have an accepted answer
answers (Optional[int]): Minimum number of answers
include_comments (Optional[bool]): Whether to include comments in results
response_format (Optional[str]): Format of response ("json" or "markdown")
limit (Optional[int]): Maximum number of results to return
ctx (Context): The context is passed automatically by the MCP
Returns:
str: Formatted search results
"""
try:
api = ctx.request_context.lifespan_context.api
error_lines = stack_trace.split("\n")
error_message = error_lines[0]
ctx.debug(f"Analyzing stack trace: {error_message}")
ctx.debug(f"Language: {language}")
results = await api.search_by_query(
query=error_message,
tags=[language.lower()],
excluded_tags=excluded_tags,
min_score=min_score,
has_accepted_answer=has_accepted_answer,
answers=answers,
limit=limit,
include_comments=include_comments
)
ctx.debug(f"Found {len(results)} results")
return format_response(results, response_format)
except Exception as e:
ctx.error(f"Error analyzing stack trace: {str(e)}")
raise RuntimeError(f"Failed to analyze stack trace: {str(e)}")
if __name__ == "__main__":
mcp.run() |