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An AI copilot for product development with search, SQL, and charts.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "mcp-server-product-studio" yet — see the docs or source repo.
Using the connected product data, query weekly active user trends for each core feature over the last 90 days, visualize which features grew fastest and declined most, and summarize 3 product recommendations.
Provides SQL results, trend charts, and data-backed product insights and recommendations.
Search the knowledge base for requirements, discussions, and conclusions related to onboarding optimization, organize key decisions in a timeline, and highlight unresolved issues.
Outputs a chronological decision summary with relevant references and open follow-up items.
Analyze 30-day retention by user identity or segment, compare new, returning, and high-value users, and generate embeddable chart explanations.
Delivers segmented retention data, comparison charts, and concise explanations ready for reporting.
Manage products with natural-language add and fetch actions in AI assistants.
Build, debug, and manage software tasks with natural language across LLMs.
Support product planning, requirement management, and cross-functional workflow coordination.
Query and manage Microsoft SQL Server databases with natural language.
Securely connect AI assistants to SQL Server for queries, analysis, and admin tasks.
Production-ready MCP server for query normalization, retrieval, and RAG prompt building.