#schema

MCP server for getting schema information from a PostgreSQL database

Mirror of

This document provides a list of different MCP servers. For each server, we provide a schema definition that includes the latest basic information and tool definitions.

A comprehensive collection of Model Context Protocol (MCP) servers

Library for autogenerating MCP server and client code based on a specified YAML schema

MCP server providing token-efficient access to OpenAPI/Swagger specs via MCP Resources for client-side exploration.

This project provides an MCP-compatible interface for the JSONBuddy Core API, enabling JSON validation against schemas via a secure HTTP-based service. The server exposes two endpoints (`/validator/validate` and `/validator/validate-simple`) for flexible schema validation scenarios. MCP clients and AI agents can integrate this API using the included `mcp.json` definition and standard API key authentication.

A comprehensive Message Control Protocol (MCP) server for Kafka Schema Registry.

Real-time PostgreSQL & Supabase database schema access for AI-IDEs via Model Context Protocol. Provides live database context to AI assistants through secure SSE connections, enabling smarter code generation with always up-to-date schema information. Features three powerful tools: get_schema, analyze_database, and check_schema_alignment.

SchemaFlow MCP Server

The MCP Registry offers a centralized service for managing Model Context Protocol server entries. 🌐 Join us in shaping this project and explore the features through our RESTful API! 🚀

Structured product data from the open web where platform APIs don't reach. Schema.org + AI extraction. Pay per call via Stripe MPP.

Data observability for engineering teams: alerts, freshness monitoring, schema drift detection, validity rules, lineage. Connect any MCP client (Claude Code, Cursor, Claude Desktop) via 53 structured tools across Snowflake, BigQuery, Postgres, Databricks, Redshift, ClickHouse, MySQL, SQL Server, Athena. Hosted at mcp.anomalyarmor.ai/mcp with OAuth 2.1, or run locally via `pip install armor-mcp` with an API key.