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Query multi-source apps with SQL and connect the results to LLMs via MCP.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "anyquery" yet — see the docs or source repo.
Use anyquery to connect to GitHub and write an SQL query that counts issues created in the last 30 days for each repository, then return the top 10 in descending order.
A structured table of issue counts by repository, ready for analysis.
Query a Notion project database through anyquery and use SQL to filter projects that are 'In Progress' and owned by Wang Ming, returning project name, due date, and priority.
A filtered list of matching projects for quick status review.
Connect anyquery to an LLM as an MCP tool, query GitHub and Notion data, and ask the model to summarize this week's progress, blockers, and follow-up items.
A weekly summary and action recommendations generated from live data.
Use natural language to query GitHub and SQL databases for development tasks.
Query SQL databases in natural language with auto-generated, self-correcting SQL.
Query SQL Server databases with natural language through Claude.
Let AI search, read, query, and update Notion content directly.
Manage Notion pages, databases, and collaboration workflows using natural language.
Use natural language to search, update, and manage Notion workspace content.