Best Schemas AI Skills & MCP Servers

Model Context Protocol (MCP) server for managing Instant apps, schemas, and permissions!

MCP server for analyzing and optimizing context window token usage — audit tool definitions, compress schemas, track usage, and reduce bloat

Wire contract and TypeScript SDK for ac7 — types, schemas, protocol constants, and HTTP client.

MCP server for SQLite — query databases, inspect schemas, explain queries, and export data from your IDE

Build n8n workflows from text using AI. Connect to Claude, Cursor, or any LLM to generate and validate n8n workflows with expert knowledge and intelligent auto-fixing. Built by FlowEngine. Now with real node parameter schemas from n8n packages!

Model Context Protocol (MCP) plugin for Kubb, generating MCP-compatible tools and schemas from OpenAPI specifications for AI assistants.

Type-safe schemas and builders for MCP client configurations

Model Context Protocol server for Spectrum design data including tokens, schemas, and component anatomy

AI Agent Skill for NSAuditor AI — gives any AI coding agent built-in knowledge of NSAuditor's MCP tools, schemas, plugins, and security audit workflows.

Conformance test runner for FocusMCP bricks — validates manifests, tool schemas, and runtime behavior.

Shared Zod schemas and TypeScript types for the mpak registry

Core types, schemas, and validation for getmcp canonical configuration format

MCP server that analyzes your MCP setup: token costs, bloated schemas, duplicate tools, and optimization tips

MCP (Model Context Protocol) plugin for Bunli - create CLI commands from MCP tool schemas

Machine-readable MCP tool schemas for Undisk — enables IDE autocompletion and code generation for any language

Index and search codebases using structured schemas for deep code analysis. Audit specific domains or security-related functions to ensure code quality and safety. Explore complex codebases with high-level overviews to understand structure and patterns quickly.

Convert data between over 40 formats including JSON, CSV, Excel, and PDF. Restructure complex schemas into custom layouts to ensure seamless data integration. Simplify information processing by automating transformations between structured and unstructured file types.