Skip to main content
Glama

Continuo Memory System

by GtOkAi
test_176_progress_token.py1.66 kB
from unittest.mock import AsyncMock, MagicMock import pytest from mcp.shared.context import RequestContext from mcp.server.fastmcp import Context pytestmark = pytest.mark.anyio async def test_progress_token_zero_first_call(): """Test that progress notifications work when progress_token is 0 on first call.""" # Create mock session with progress notification tracking mock_session = AsyncMock() mock_session.send_progress_notification = AsyncMock() # Create request context with progress token 0 mock_meta = MagicMock() mock_meta.progressToken = 0 # This is the key test case - token is 0 request_context = RequestContext( request_id="test-request", session=mock_session, meta=mock_meta, lifespan_context=None, ) # Create context with our mocks ctx = Context(request_context=request_context, fastmcp=MagicMock()) # Test progress reporting await ctx.report_progress(0, 10) # First call with 0 await ctx.report_progress(5, 10) # Middle progress await ctx.report_progress(10, 10) # Complete # Verify progress notifications assert ( mock_session.send_progress_notification.call_count == 3 ), "All progress notifications should be sent" mock_session.send_progress_notification.assert_any_call( progress_token=0, progress=0.0, total=10.0, message=None ) mock_session.send_progress_notification.assert_any_call( progress_token=0, progress=5.0, total=10.0, message=None ) mock_session.send_progress_notification.assert_any_call( progress_token=0, progress=10.0, total=10.0, message=None )

MCP directory API

We provide all the information about MCP servers via our MCP API.

curl -X GET 'https://glama.ai/api/mcp/v1/servers/GtOkAi/continuo-memory-mcp'

If you have feedback or need assistance with the MCP directory API, please join our Discord server