temporal-mcp
Provides tools for listing, describing, and fetching the event history of Temporal workflow executions, enabling LLM-assisted debugging of Temporal workflows.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@temporal-mcplist workflows with status Running"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
Temporal MCP Server
An MCP (Model Context Protocol) server for debugging Temporal workflows. This server enables LLM-assisted debugging by exposing Temporal workflow inspection tools.
Features
list_workflows - List workflow executions with optional query filter
describe_workflow - Get detailed info about a specific workflow
get_workflow_history - Fetch event history for debugging
Related MCP server: pernosco-mcp
Requirements
Python 3.11+
uv for dependency management
A running Temporal server (local or cloud)
Installation
# Clone the repository
git clone <repo-url>
cd temporal-mcp
# Create virtual environment and install
uv venv
source .venv/bin/activate
uv pip install -e ".[dev]"Configuration
Set environment variables to configure the Temporal connection:
Variable | Description | Default |
| Temporal server address |
|
| Temporal namespace |
|
| Path to TLS certificate (for Cloud) | - |
| Path to TLS key (for Cloud) | - |
| API key (for Cloud) | - |
Docker
Connect to Temporal Server
If you have Temporal running (locally or remotely):
# Connect to Temporal on host machine
docker compose up
# Or specify a custom address
TEMPORAL_ADDRESS=my-temporal:7233 docker compose upConnect to Temporal Cloud
For Temporal Cloud with mTLS certificates:
# Place your certificates in a certs/ directory, then:
docker compose up
# After uncommenting the TLS environment variables in docker-compose.ymlOr with API key:
TEMPORAL_ADDRESS=your-ns.tmprl.cloud:7233 \
TEMPORAL_NAMESPACE=your-ns \
TEMPORAL_API_KEY=your-key \
docker compose upLocal Development (without Docker)
Install and run directly with Python:
For Temporal Cloud, set the appropriate environment variables:
export TEMPORAL_ADDRESS="your-namespace.tmprl.cloud:7233"
export TEMPORAL_NAMESPACE="your-namespace"
export TEMPORAL_API_KEY="your-api-key"Or with TLS certificates:
export TEMPORAL_ADDRESS="your-namespace.tmprl.cloud:7233"
export TEMPORAL_NAMESPACE="your-namespace"
export TEMPORAL_TLS_CERT="/path/to/cert.pem"
export TEMPORAL_TLS_KEY="/path/to/key.pem"Usage
With Cursor
Add to your Cursor MCP settings (~/.cursor/mcp.json):
{
"mcpServers": {
"temporal": {
"command": "uv",
"args": ["run", "temporal-mcp"],
"cwd": "/path/to/temporal-mcp",
"env": {
"TEMPORAL_ADDRESS": "localhost:7233",
"TEMPORAL_NAMESPACE": "default"
}
}
}
}Standalone
temporal-mcpAvailable Tools
list_workflows
List workflow executions with optional filtering.
list_workflows(query="", limit=10)query: Optional Temporal list filter syntax (e.g.,WorkflowType="MyWorkflow" AND ExecutionStatus="Running")limit: Maximum workflows to return (default 10, max 100)
describe_workflow
Get detailed information about a specific workflow.
describe_workflow(workflow_id, run_id="")workflow_id: The workflow ID to describerun_id: Optional run ID (uses latest if not specified)
get_workflow_history
Fetch the event history for a workflow execution.
get_workflow_history(workflow_id, run_id="", max_events=100)workflow_id: The workflow IDrun_id: Optional run ID (uses latest if not specified)max_events: Maximum events to return (default 100, max 1000)
Development
Setup
uv venv
source .venv/bin/activate
uv pip install -e ".[dev]"Commands
# Format code
black src tests
# Lint
ruff check src tests
# Type check
mypy src
# Run tests
pytest
# Run all checks
black src tests && ruff check src tests && mypy src && pytestProject Structure
temporal-mcp/
├── pyproject.toml # Project config and dependencies
├── Dockerfile
├── docker-compose.yml # Docker setup for MCP server
├── README.md
├── src/temporal_mcp/
│ ├── __init__.py
│ ├── server.py # MCP server and tool definitions
│ ├── client.py # Temporal client wrapper
│ ├── config.py # Environment-based configuration
│ └── models.py # Pydantic models
├── tests/
│ ├── conftest.py # Test fixtures
│ ├── test_config.py
│ ├── test_client.py
│ └── test_server.py
└── docs/
└── PLAN.txtLicense
MIT
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Maintenance
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