"Ajv" matching MCP servers:

Enables validating JSON/JSONC, getting/setting values with jq-like paths, pretty-printing or minifying, validating against Ajv JSON Schema, and diffing local files or inline strings without network calls.

Enables AI agents to control a simulated Pollen Robotics Microduck through MCP tools for movement, tricks, pushing, camera views, and state inspection.

MCP server for AI agents to search Google Scholar Labs and filter results by AJG 2024 journal ratings, using local browser sessions and safe CAPTCHA handoff.

Exposes WAVE streaming APIs as tools for AI assistants to manage live streams, studio productions, and real-time analytics. It enables users to control stream lifecycles, monitor health metrics, and access billing usage through the Model Context Protocol.

Enables AI assistants to configure and manage session-based REST and WebSocket mock servers for application development and testing. It allows for dynamic endpoint setup, request history inspection, and real-time WebSocket communication through natural language commands.

Enables management and provisioning of AWS resources like EC2, S3, and RDS using natural language prompts through the Model Context Protocol. It allows users to automate complex infrastructure tasks, such as setting up VPCs and security groups, via a chat interface.

Enables AI assistants and applications to control Adobe After Effects through the Model Context Protocol, including creating compositions, managing layers, and animating properties via keyframes and expressions.