"""Smoke-test this MCP server with the official Python MCP client.
Usage:
uv run --with mcp==1.8.0 --with anyio python scripts/mcp_python_client_smoke.py
"""
from __future__ import annotations
from pathlib import Path
import anyio
from mcp import ClientSession
from mcp.client.stdio import StdioServerParameters, stdio_client
async def main() -> None:
"""Run initialize/list/call smoke tests via MCP Python client."""
repo_root = Path(__file__).resolve().parents[1]
server = StdioServerParameters(
command="uv",
args=[
"run",
"--extra",
"dev",
"python",
"-m",
"mcp_server_mas_sequential_thinking.main",
],
env={"ENVIRONMENT": "production"},
cwd=repo_root,
)
async with stdio_client(server) as (read_stream, write_stream):
async with ClientSession(read_stream, write_stream) as session:
initialize_result = await session.initialize()
print("initialize:", initialize_result)
tools_result = await session.list_tools()
print("tools:", [tool.name for tool in tools_result.tools])
prompts_result = await session.list_prompts()
print("prompts:", [prompt.name for prompt in prompts_result.prompts])
# Intentionally invalid thoughtNumber keeps this as protocol-level smoke test
# without requiring external LLM/API credentials.
call_result = await session.call_tool(
"sequentialthinking",
{
"thought": "Protocol smoke test",
"thoughtNumber": 0,
"totalThoughts": 1,
"nextThoughtNeeded": False,
"isRevision": False,
"branchFromThought": None,
"branchId": None,
"needsMoreThoughts": False,
},
)
print("call_tool isError:", call_result.isError)
if call_result.content:
print("call_tool first content:", call_result.content[0])
if __name__ == "__main__":
anyio.run(main)
