Run configured static analysis and style checks (PHPStan, Rector, ECS) before committing to ensure code quality passes. Omit tool parameter to run all gates.
MIT
250,823 tools. Last updated 2026-06-30 04:59
"namespace:org.bull-run" matching MCP tools:
- Retrieve and filter deprecated run templates in ZenML workspaces. Use list_snapshots for modern pipeline management.MIT
- Stop a running or starting Actor run. Use when a run is taking too long or misconfigured.MIT
- Retrieve detailed information about a specific Airflow DAG run, including its state, start and end times, duration, run type, configuration, and execution metadata.Apache 2.0
- Retrieve the current status and output of a Warp Oz run by its ID. Use this to poll a cloud run until it completes.MIT
- Check the status and details of an Actor run. Optionally wait for the run to reach a terminal state.MIT
Matching MCP Servers
execution-run-mcpofficial
AlicenseAquality-maintenanceEnables AI agents to interact with the Execute.run bot API for managing Shell balances, transferring funds, and executing LLM requests. It provides tools for identity verification, transaction tracking, and performing compute tasks through the Execute.run platform.Last updated6- AlicenseAqualityBmaintenanceEnables MCP-compatible AI agents to deploy applications to Google Cloud Run by providing tools for deploying code, listing services, and managing Google Cloud projects.Last updated83,572618Apache 2.0
Matching MCP Connectors
Global stock research, ML forecasts, valuation signals, screeners & portfolio tracking in Claude
Deploy applications to Cloud Run
- Triggers an immediate run for every active campaign in a specified group and returns aggregate statistics including run UUIDs and failures.MIT
- Deploy files directly to Cloud Run by providing their contents in a chat context. Specify filenames and content for quick deployment without local file storage.Apache 2.0
- Upload local files to Google Cloud Run by specifying absolute file paths. Enables deployment of local filesystem assets to a specified Cloud Run service in the user's Google Cloud project.Apache 2.0
- List all agents spawned during a mapping run, including planner and modality agents, by providing the run ID.Apache 2.0
- Deletes the public link for a test run to revoke external access. Provide project code and run ID.MIT
- Retrieve a specific test run using project code and run ID. Optionally include related entities like test cases.MIT
- Deploy a local folder to Google Cloud Run by specifying the folder's absolute path, project ID, and optional region and service name. Simplifies deploying entire folder contents to a Cloud Run service.Apache 2.0
- Delete a test result from a run using its project code, run ID, and result hash identifier.MIT
- Retrieve the status and results of a specific inference run using its run ID.Apache 2.0
- Mark a test run as complete by providing the project code and run ID.MIT
- Retrieve and filter run steps from your ZenML workspace to monitor pipeline execution progress and status.MIT
- Retrieve a list of Google Cloud Run services within a specified project and region using the MCP Server. Simplify service monitoring and management with accurate, region-specific details.Apache 2.0
- Retrieve detailed information about a specific Cloud Run service, including project ID, region, and service name, to manage and monitor deployments effectively.Apache 2.0
- Retrieve logs and error messages for a specific Cloud Run service by providing the Google Cloud project ID, region, and service name.Apache 2.0