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Add trusted access, intelligent understanding, and safety controls between AI agents and databases.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "SchemaBrain" MCP server from askskill: Run: claude mcp add 'io-github-arun-kc-schemabrain' -- uvx schemabrain
Use SchemaBrain to connect to my business database, analyze the schema and field relationships first, then create a read-only query plan to answer: "Who are the top 10 customers by order volume in the last 30 days?" Also explain the reasoning and tables used.
A safe query result summary with the tables, fields, and filtering logic explained.
Use SchemaBrain to understand my database schema and convert "Which subscription plan has the highest churn rate this quarter?" into executable analysis steps. Generate SQL if needed and note any ambiguity and assumptions.
A structured analysis plan, executable SQL, and explanations of key business definitions.
Use SchemaBrain to configure database access rules for an AI agent: allow read-only access to sales and inventory tables, mask user privacy fields, and log each query's purpose, scope, and result summary.
A clear access-control and audit policy that makes AI database usage safer and traceable.
Give AI agents local-first structured memory with search and timeline tracking.
Give AI assistants persistent structured memory and a personal wiki across sessions.
Connect TheBrain knowledge graph to AI for natural-language search and note management.
Connect AI to product knowledge for search, capture, and decision navigation.
Manage and search structured personal knowledge from one local database.
Verify autonomous AI agent identities with bidirectional KYA and trust scoring.