"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.

Enables agents that cannot accept image input to read a running Android app's UI as text — dumping the accessibility/semantics tree, auditing tap targets and overlaps, and rendering pixels as glyphs — and to drive it by tapping elements resolved from their labels. Works without a hosted vision API, using adb against a connected device.

Enables offline King James Version Bible lookup, passage retrieval, word and phrase search, deterministic verse-of-the-day access, and book/chapter listing for AI assistants. All tools are read-only and return citable references with structured JSON.

Enables teachers, through AI assistants, to view courses, assignments, and student submissions, download submission files, and save grades with feedback after explicit confirmation via the Moodle REST API.

Provides local-first audio/video analysis by downloading media, transcribing it, and returning structured labels for topics, sentiment, sensitivity flags, and a publish/review/block gate.

Enables Claude to direct live audio-visual performances by maintaining a shared scene (energy, section, palette, cues, ramps) and broadcasting it over OSC to Ableton Live, Max/MSP and visual engines. Supports timed ramps and cue triggers so multiple programs stay in sync while timing-critical work stays in the realtime plane.

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 a Chief of Staff client to find Codex tasks, create and submit project work with exact prompts, track progress via durable receipts, and continue or manage the same conversation locally.

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.