SchemaFlow
This MCP server provides real-time PostgreSQL schema access through SchemaFlow's cloud-based caching service, offering three core tools for database introspection and analysis without requiring direct database connections. Built by SchemaFlow and designed for AI-powered development workflows, it connects to AI IDEs like Cursor, Windsurf, and Cline via Server-Sent Events (SSE) to deliver cached schema information including tables, columns, relationships, functions, triggers, enums, and indexes. The implementation focuses on database analysis capabilities with tools for schema validation, performance insights, and best practices alignment, making it valuable for developers who need AI assistants to understand and work with PostgreSQL database structures in real-time.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately.
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- database
- Source
- PulseMCP
- Repository
- github.com/cryptoradi/schemaflow-mcp-server
- Author type
- human
- Updated
- 2026-04-25
Use via MCP
Resolve SchemaFlow from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp --scope user for --scope project to commit it to .mcp.json.