This is a Model Context Protocol (MCP) server that provides tools for interacting with Temporal workflow orchestration. It enables AI assistants and other MCP clients to manage Temporal workflows, schedules, and workflow executions through a standardized interface. The server supports both local and remote Temporal instances.
start_workflow- Start a new Temporal workflow execution with specified parameters, workflow ID, and task queueget_workflow_result- Retrieve the result of a completed workflow executiondescribe_workflow- Get detailed information about a workflow execution including status, timing, and metadatalist_workflows- List workflow executions based on a query filter with pagination support (limit/skip)get_workflow_history- Retrieve the complete event history of a workflow execution
query_workflow- Query a running workflow for its current state without affecting executionsignal_workflow- Send a signal to a running workflow to change its behavior or provide datacancel_workflow- Request cancellation of a running workflow executionterminate_workflow- Forcefully terminate a workflow execution with a reasoncontinue_as_new- Signal a workflow to continue as new (restart with new inputs while preserving history link)
batch_signal- Send a signal to multiple workflows matching a query (configurable batch size)batch_cancel- Cancel multiple workflows matching a query (configurable batch size)batch_terminate- Terminate multiple workflows matching a query with a specified reason (configurable batch size)
create_schedule- Create a new schedule for periodic workflow execution using cron expressionslist_schedules- List all schedules with pagination support (limit/skip)pause_schedule- Pause a schedule to temporarily stop workflow executionsunpause_schedule- Resume a paused scheduledelete_schedule- Permanently delete a scheduletrigger_schedule- Manually trigger a scheduled workflow immediately
For more information about Temporal, refer to the official Temporal documentation:
- Temporal Documentation: https://docs.temporal.io/
- Workflows: https://docs.temporal.io/workflows
- Activities: https://docs.temporal.io/activities
- Python SDK: https://docs.temporal.io/dev-guide/python
Add to your OpenCode settings (~/.config/opencode/opencode.json):
{
"$schema": "https://opencode.ai/config.json",
"mcp": {
"temporal": {
"type": "local",
"command": [
"docker", "run", "-i", "--rm", "--network", "host",
"-e", "TEMPORAL_HOST=192.168.69.98:7233",
"-e", "TEMPORAL_NAMESPACE=default",
"-e", "TEMPORAL_TLS_ENABLED=false",
"temporal-mcp-server:latest"
],
"enabled": true
}
}
}Add to your VS Code settings (.vscode/mcp.json or global settings):
{
"mcp.servers": {
"temporal": {
"command": "docker",
"args": [
"run", "-i", "--rm", "--network", "host",
"-e", "TEMPORAL_HOST=192.168.69.98:7233",
"-e", "TEMPORAL_NAMESPACE=default",
"-e", "TEMPORAL_TLS_ENABLED=false",
"temporal-mcp-server:latest"
]
}
}
}Add to your Cursor MCP settings (~/.cursor/mcp.json on macOS/Linux or %APPDATA%\Cursor\mcp.json on Windows):
{
"mcpServers": {
"temporal": {
"command": "docker",
"args": [
"run", "-i", "--rm", "--network", "host",
"-e", "TEMPORAL_HOST=192.168.69.98:7233",
"-e", "TEMPORAL_NAMESPACE=default",
"-e", "TEMPORAL_TLS_ENABLED=false",
"temporal-mcp-server:latest"
]
}
}
}Add to your Claude Desktop configuration (~/Library/Application Support/Claude/claude_desktop_config.json on macOS, %APPDATA%\Claude\claude_desktop_config.json on Windows):
{
"mcpServers": {
"temporal": {
"command": "docker",
"args": [
"run", "-i", "--rm", "--network", "host",
"-e", "TEMPORAL_HOST=192.168.69.98:7233",
"-e", "TEMPORAL_NAMESPACE=default",
"-e", "TEMPORAL_TLS_ENABLED=false",
"temporal-mcp-server:latest"
]
}
}
}- TEMPORAL_HOST: Set to your Temporal server address (default:
localhost:7233) - TEMPORAL_NAMESPACE: Set to your Temporal namespace (default:
default) - TEMPORAL_TLS_ENABLED: Set to
truefor remote servers,falsefor local, or omit for auto-detection - Replace
192.168.69.98:7233with your actual Temporal server address - For local development, you can use
localhost:7233orhost.docker.internal:7233(when running in Docker)