[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"cc-detail-mcp-servers-julien040-anyquery":3},{"id":4,"slug":5,"type":6,"title":7,"summary":8,"description_md":9,"install_command":10,"install_method":11,"source_url":12,"source_type":13,"github_repo":14,"github_stars":15,"github_last_commit_at":16,"language":17,"tags":18,"use_cases":24,"status":25,"submitted_by_ip":26,"approved_at":27,"view_count":28,"copy_count":28,"created_at":29,"updated_at":29,"quality_score":30,"discovered_via":31},"48fb6dcd-da42-4b69-aae8-9ab26682ae32","julien040-anyquery","mcp_server","Anyquery","SQL query engine that exposes data sources and apps to LLMs via MCP.","Anyquery is a SQL query engine built on SQLite that can query files, databases, and many app integrations.\n\nIt can connect to LLM clients through the Model Context Protocol, including a stdio MCP server and an HTTP\u002FSSE mode. The README also notes support for function-calling clients such as ChatGPT and TypingMind.\n\nThe project is plugin-based and includes a registry of integrations. It can also run as a MySQL server for MySQL-compatible clients.","curl -fsSL https:\u002F\u002Fanyquery.dev\u002Finstall.sh | sh","curl","https:\u002F\u002Fgithub.com\u002Fjulien040\u002Fanyquery","github","julien040\u002Fanyquery",1731,"2026-07-11T11:20:19+00:00","en",[19,20,21,22,23],"mcp","sql","sqlite","llm","integrations",[],"approved",null,"2026-07-13T04:00:26.718+00:00",0,"2026-07-13T04:00:26.748281+00:00",9,"awesome-list"]