#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.

The mcp-kicad asset provides a bridge between AI assistants and KiCad electronics design files, allowing for parsing of schematics, generation of BOMs, electrical rules checking, and PCB layout analysis. It enhances the capabilities of AI in hardware design workflows by integrating with the popular open-source EDA tool, KiCad, which has over 2 million users.

Deterministic cross-branch conflict detection for AI coding agents. Scans your git repo for function signature mismatches, HTTP route conflicts, and schema breaks across branches using tree-sitter AST analysis. Catches the merge failures that CI misses because tests only run on one branch at a time.

The open retrieval layer for AI coding agents. Indexes code, docs, legal, research, data — 15 parsers, FTS5 + semantic search, knowledge graph. Serves surgical context via MCP. Open source, local, free. Index everything in your project — code, docs, PDFs, legal texts, research, data — and your agent finds the right context instantly. No hallucinations. No cloud. No API costs.

SchemaCheck Agent validates JSON payloads against JSON Schema Draft 7 and 2020-12 standards. Designed for agent-to-agent workflows, it returns structured validation results instantly — including field-level error paths, human-readable summaries, and optionally a corrected payload when repair mode is enabled. Built on the x402 micropayment protocol, each validation call costs $0.005 USDC on Base mainnet — no subscriptions, no API keys, no accounts. Pay per call, settle on-chain.

Extract structured, schema-validated data from PDFs, scans, images, spreadsheets, and forms. Lets AI agents pull clean JSON out of any document via the Model Context Protocol.