"John Deere" matching MCP servers:

Enables LLM agents to create, read, update, and delete Webhook.site tokens, list and retrieve captured requests, and manage webhook configurations via the Webhook.site API.

An MCP server implementing Spec-Driven Development workflows for AI-agent CLIs and IDEs like Claude Code and Cursor, enabling spec-first development with automated workflow guidance and quality checks.

Enables designers to refine motion effects by direct manipulation in a running app, sending precise changesets to AI coding agents via MCP for source updates.

Provides contextual Oracle database schema information to AI assistants, enabling them to understand and work with large databases containing thousands of tables. Supports multi-database connections, smart schema caching, table lookups, and relationship mapping.

A production-ready starter template for building Model Context Protocol (MCP) servers with TypeScript. Includes automated tooling for creating new MCP tools, testing, and deployment to Claude Desktop.