Compile a symbol library from local, GitHub, Docker, Helm, or Artifactory sources to generate runtime event-attribution artifacts, returning a pollable job ID for long builds.
MIT
649,985 tools. Updated 2026-10-11 03:19
"Scala" matching MCP tools:
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- Execute PySpark, Scala, or SparkR code in an existing Livy session to process data in Microsoft Fabric. Supports immediate or asynchronous execution with result tracking.MIT
- Partially update a Zephyr Scale test case by specifying only the fields to change; test steps are synchronized by id, with new steps created, existing ones updated, and omitted steps deleted.MIT
- Add steps to a step-by-step test case without overwriting existing ones. Insert new steps at the end, beginning, or a specific position while preserving original step IDs.MIT
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Discovery, OAuth, project operations, and exact project MCP handoff for Spala backend projects.
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- Replace a test case's entire script or switch between step-by-step, plain text, and BDD formats. Replaces the existing script; format changes delete all previous steps.MITDestructive
- Create folders for test cases, test plans, or test runs in Zephyr Scale. Specify a full path from the root; missing parent folders are created automatically.MIT
- Create a Zephyr Scale test run with a complete set of test cases and execution results in one call, since runs are immutable after creation and cannot be modified later.MIT
- Read a Zephyr Scale test run by key, including its items. Test runs are immutable after creation and status is derived from items.MIT
- List attachments from a Zephyr Scale test case, test run, or test result. Optionally filter by step index for test cases and test results.MIT
- Run Python, SQL, Scala, or R code on Databricks clusters or serverless compute, then get status or cancel pending executions and return results.Apache 2.0
- Clone a test case in Zephyr Scale: replicates all fields except execution history and attachments, and creates a copy with fresh step IDs.MIT
- Lists Zephyr Scale test cases linked to a Jira issue and shows the latest execution result for each case.MIT
- Update only the specified fields of the most recent test result in a test run. Requires a test run key and test case key.MIT
- Search test plans in Zephyr Scale using TQL queries. Filter by project, status, folder, and more with paginated results.MIT
- Manage Databricks workspace files, notebooks, and folders: list, inspect, export/import content, create directories, or delete objects via the Workspace API.Apache 2.0Destructive
- Creates a test case in Zephyr Scale and returns its key and URL. Supports step-by-step, plain text, or BDD scripts with parameters, labels, and custom fields.MIT
- Define a new test plan in Zephyr Scale by providing a required name and optional parameters such as owner, folder, status, labels, objective, and linked issues.MIT
- Analyzes Apache Spark job execution logs and statistics to identify performance bottlenecks and suggest specific optimization strategies, supporting both EMR and local log sources.MIT
- Create a Spark session for executing PySpark, Scala, or SparkR code in Microsoft Fabric. Initialize a session to run data processing and analytics tasks on specified workspace and lakehouse resources.MIT