13274243a0
Keep K3 suite selection and report-schema scoring in bash, merge K3/vision dataset_args into dpv4 yamls, and pin EvalScope at 735d920ee911 with local patches. Co-authored-by: Cursor <cursoragent@cursor.com>
30 lines
850 B
Python
30 lines
850 B
Python
"""Tiny FastMCP server used as a fixture by ``test_mcp.py``.
|
|
|
|
Exposes a single ``echo`` tool that returns the input ``message`` prefixed
|
|
by ``echoed: ``. Runs in stdio by default; pass ``http <port>`` to bind
|
|
streamable-HTTP on ``127.0.0.1:<port>/mcp`` instead.
|
|
"""
|
|
|
|
import sys
|
|
|
|
from mcp.server.fastmcp import FastMCP
|
|
|
|
|
|
def _build_server(port: int = 8000) -> FastMCP:
|
|
mcp = FastMCP('evalscope-test-echo', host='127.0.0.1', port=port)
|
|
|
|
@mcp.tool()
|
|
def echo(message: str) -> str:
|
|
"""Return ``message`` with an ``echoed:`` prefix."""
|
|
return f'echoed: {message}'
|
|
|
|
return mcp
|
|
|
|
|
|
if __name__ == '__main__':
|
|
if len(sys.argv) >= 2 and sys.argv[1] == 'http':
|
|
port = int(sys.argv[2]) if len(sys.argv) >= 3 else 8000
|
|
_build_server(port).run(transport='streamable-http')
|
|
else:
|
|
_build_server().run()
|