Monitor currently running MySQL queries to identify performance bottlenecks, detect long-running operations, and find blocking transactions that may be causing database slowdowns.
Apache 2.0
127,484 tools. Last updated 2026-05-05 18:39
"Running queries in Apache Superset" matching MCP tools:
- Retrieve query history from Apache Superset to monitor SQL execution status, duration, and results through paginated API requests.MIT
- Terminate a running query in Apache Superset by providing the client ID, preventing unnecessary resource consumption and allowing query management.MIT
- Retrieve and display saved SQL queries from Apache Superset. Use this tool to access previously created queries for analysis or modification.
- Execute natural language queries on Apache Superset databases to retrieve data, specify database, schema, or table if needed.
- Retrieve detailed information about a specific Apache Airflow resource pool, including total slots, occupied, running, queued, and open slots to monitor capacity and utilization.Apache 2.0
Matching MCP Servers
- AlicenseBqualityDmaintenanceMCP server enabling AI agents to programmatically connect to and control Apache Superset instances, allowing users to manage dashboards, charts, databases, datasets, and run SQL queries through natural language interactions.Last updated60181MIT
- FlicenseBqualityCmaintenanceAn MCP server that provides AI assistants with full access to Apache Superset instances, enabling interaction with dashboards, charts, datasets, databases, and SQL execution capabilities.Last updated34
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- Retrieve the running Apache Airflow version to check API compatibility, feature availability, and verify upgrade success. Returns version string and git commit hash.Apache 2.0
- List installed Apache Airflow provider packages with their versions, descriptions, and included operators, hooks, and sensors. Responds to queries about provider availability and integration details.Apache 2.0
- Monitor active database queries and processes on Heroku apps to identify long-running queries, track progress, debug performance issues, and view resource usage in real-time.
- Execute SQL queries on ClickHouse. Queries run read-only by default; enable write and delete operations using environment variables.
- Discover GraphQL API schemas by running introspection queries to enumerate all types, fields, queries, and mutations, including hidden or undocumented elements.MIT
- Execute multiple SQL queries in parallel to speed up batch operations. Specify an array of queries with optional parameters and control concurrency up to 10.MIT
- Stop a running security test in Beagle Security by providing the application token to halt ongoing assessments.MIT
- Authenticate users with Apache Superset to obtain access tokens for managing dashboards, charts, and datasets through the MCP server integration.MIT
- Submit a Python script for asynchronous execution in YADE, receiving a task ID immediately. Use for long-running simulations; monitor progress and cancel via companion tools.MIT
- Cancel a running Livy statement while keeping the session active for new queries. This tool stops statements in 'waiting' or 'running' state without terminating the session.MIT
- Execute complex or long-running Splunk searches with job tracking, progress visibility, and result retrieval for queries exceeding ~30 seconds.
- Verify authentication status by checking if the current access token is valid before making API calls to Apache Superset.MIT
- Retrieve stored AI analysis for all ads in a Meta or Google Ads account to review performance insights without re-running analysis.MIT
- Create a new database connection in Apache Superset by providing connection details like SQLAlchemy URI, engine type, and database name to enable data visualization.MIT