$ loading_
Let AI agents manage and run Apache Zeppelin notebooks through the API.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Apache Zeppelin MCP Server" yet — see the docs or source repo.
Connect to Apache Zeppelin, list all current notebooks, and search for notebooks with 'sales' or 'revenue' in the title. Return the name, path, and last updated time.
A notebook list and matched search results for quickly locating target analysis notebooks.
Open the specified Zeppelin notebook, find the paragraph used for the daily report, change the SQL date to yesterday, then save and run that paragraph, and summarize the execution result.
The paragraph is updated and executed, with run status, result summary, or error details returned.
Check recently modified Zeppelin notebooks, identify paragraphs with failed runs, summarize the failure reasons, and provide a prioritized list of notebooks to fix.
A troubleshooting report of failed paragraphs, including error overview and fix priorities.
Access Zeppelin APIs to manage and run data engineering notebooks and paragraphs.
Let AI create, edit, search Markdown notes, and detect conflicts via MCP.
Audit and analyze Zendesk instances with read-only access and cross-reference queries.
Connect to a Jupyter kernel to manage, edit, and run notebooks.
Create, manage, and compose AI agents for MCP-compatible clients and tools.
Connect AI agents to control local JupyterLab for coding and analysis.