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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.
Safely query SQL and NoSQL databases through AI with zero setup.
Query databases in natural language and auto-generate and execute SQL.
Query and retrieve data across GitHub, Neo4j, PostgreSQL, and Milvus.
Turn existing APIs and databases into MCP tools for direct AI use.
Let AI search, read, query, and update Notion content directly.
Use natural language to query, update, and manage MSSQL databases.