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Query and analyze Stash data with filters, caching, and personalized recommendations.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "Stash MCP Server" yet — see the docs or source repo.
Connect to my Stash instance and filter items added in the last 30 days with ratings above 4 and tagged 'tutorial', then list the top 20 by rating.
A filtered list of matching items with key fields, sorted by rating in descending order.
Analyze item counts by tag, new additions over the last three months, and rating distribution in my Stash instance, then summarize three key findings.
Structured statistics and a concise trend summary to quickly understand the data distribution.
Based on my recent activity and highly rated items, use existing tags and similar items to recommend 10 projects I may like and explain why.
A personalized recommendation list with brief reasons for each suggested item.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Create GitHub repositories quickly through MCP to start projects and collaboration.
Query cloud geospatial data at scale with zero-setup SQL access.
Manage key-value storage across multiple backends through a unified MCP interface.
An AI copilot for product development with search, SQL, and charts.
Manage GitHub repositories, branches, pull requests, and commits through an MCP server.