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modelcontextprotocol--pytho…/docs_src/lowlevel/tutorial003.py
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chore: import upstream snapshot with attribution
2026-07-13 12:10:27 +08:00

42 lines
1.2 KiB
Python

from mcp_types import (
CallToolRequestParams,
CallToolResult,
ListToolsResult,
PaginatedRequestParams,
TextContent,
Tool,
)
from mcp.server import Server, ServerRequestContext
SEARCH_BOOKS = Tool(
name="search_books",
description="Search the catalog by title or author.",
input_schema={
"type": "object",
"properties": {"query": {"type": "string"}, "limit": {"type": "integer"}},
"required": ["query", "limit"],
},
output_schema={
"type": "object",
"properties": {"matches": {"type": "integer"}, "query": {"type": "string"}},
"required": ["matches", "query"],
},
)
async def list_tools(ctx: ServerRequestContext, params: PaginatedRequestParams | None) -> ListToolsResult:
return ListToolsResult(tools=[SEARCH_BOOKS])
async def call_tool(ctx: ServerRequestContext, params: CallToolRequestParams) -> CallToolResult:
args = params.arguments or {}
data = {"matches": 3, "query": args["query"]}
return CallToolResult(
content=[TextContent(type="text", text=f"Found 3 books matching {args['query']!r}.")],
structured_content=data,
)
server = Server("Bookshop", on_list_tools=list_tools, on_call_tool=call_tool)