This server does not currently have a deployable release on Glama. Follow the repository's setup instructions to install and configure it for your MCP client, including any required credentials and local dependencies.
Nova Agent progress reporting MCP server.
./build-docker.shmacOS/Windows:
claude mcp add task-manager -s user \
--env "TASK_MANAGER_HOST=host.docker.internal" \
--env "TASK_MANAGER_PORT=8080" \
--env "TASK_MANAGER_TIMEOUT=30" \
--env "USE_MOCK_CLIENT=false" \
-- docker run -i --rm \
-e TASK_MANAGER_HOST \
-e TASK_MANAGER_PORT \
-e TASK_MANAGER_TIMEOUT \
-e USE_MOCK_CLIENT \
task-manager-mcp:latestLinux:
claude mcp add task-manager -s user \
--env "TASK_MANAGER_HOST=localhost" \
--env "TASK_MANAGER_PORT=8080" \
--env "TASK_MANAGER_TIMEOUT=30" \
--env "USE_MOCK_CLIENT=false" \
-- docker run -i --rm --network=host \
-e TASK_MANAGER_HOST \
-e TASK_MANAGER_PORT \
-e TASK_MANAGER_TIMEOUT \
-e USE_MOCK_CLIENT \
task-manager-mcp:latestMock Mode (for testing):
claude mcp add task-manager-mock -s user \
--env "USE_MOCK_CLIENT=true" \
-- docker run -i --rm \
-e USE_MOCK_CLIENT \
task-manager-mcp:latestpip install -r requirements.txtEdit Claude Desktop's MCP configuration file (refer to mcp-config-example.json):
{
"mcpServers": {
"task-manager": {
"command": "python3",
"args": ["/path/to/your/task_manager_mcp.py"],
"env": {
"TASK_MANAGER_HOST": "localhost",
"TASK_MANAGER_PORT": "8080",
"TASK_MANAGER_TIMEOUT": "30",
"USE_MOCK_CLIENT": "false"
}
}
}
}# Remove MCP server
claude mcp remove task-manager
# Or remove mock version
claude mcp remove task-manager-mockRelated MCP server: Cairn
Tool | Purpose |
| Update execution's session_id |
| Create a step and return step_id |
| Update step status/message |
| Health check |
# 1. Register session
update_execution_session(execution_id="exec-123", session_id="nova-001")
# 2. Create step
result = create_step(execution_id="exec-123", step_name="analyzing")
step_id = result["step_id"]
# 3. Complete step
update_step(execution_id="exec-123", step_id=step_id, status="completed")running - In progress
completed - Completed
failed - Failed
skipped - Skipped
Variable | Description | Default |
| Task Manager service address |
|
| Task Manager service port |
|
| Request timeout (seconds) |
|
| Whether to use Mock client |
|
macOS/Windows: Use host.docker.internal to access host services
Linux: Use --network=host and localhost to access host services
pip install -r requirements.txt
python task_manager_mcp.pymake test
# or
python tests/simple_test.py
python tests/test_generated_client.pyWhen backend API is unavailable, MCP returns clear error messages:
404 Error (API not implemented):
{
"success": false,
"error": "API endpoint not found: PATCH /api/executions/{id}/steps/{step_id}. The backend service may not have implemented this API yet.",
"status_code": 404,
"hint": "Please check if the Task Manager backend service has this endpoint implemented."
}Connection Failed:
{
"success": false,
"error": "Cannot connect to Task Manager service at http://localhost:8080",
"hint": "Please verify that the Task Manager service is running and the host/port are correct."
}This server cannot be deployed
MCP Server for an Agent Task Marketplace
Hosted MCP server for task-first delegation to remote workstations and workers.
MCP server for mandates, delegation, policy-gated execution, credential grants, and audit.
Nifty's MCP server — exposes tasks, projects, messages, and files as tools for AI agents.
