"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 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 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.

A secure, containerized MCP server that enables AI assistants to manage Terraform infrastructure using integrated Language Server Protocol (LSP) tools. It facilitates safe operations like initialization, validation, and planning while providing context-aware code completion and documentation.

An accounting-ops agent that reconciles payments against open orders, auto-books provably safe payments through a deterministic policy gate, and escalates exceptions to a human queue with audit trails.

A persona-driven AI assistant that reads, searches, and writes an Obsidian Markdown knowledge vault using a typed MCP filesystem core.

A hot-reloadable MCP proxy server that enables users to create and manage custom Python tools through dynamic module loading. Users can build their own utilities, wrap APIs, and extend functionality by simply adding Python files to designated folders.

A read-only MCP operations console for monitoring an algorithmic trading fleet, providing heartbeat, reconciliation, alert, and audit data through six typed tools.

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.

A fail-closed policy boundary that translates local stdio MCP clients to authenticated Streamable HTTP servers, enforcing allowlists or read-only modes and redacting credentials from audit trails.

Enables retrieval-augmented question answering over a private podcast archive with hybrid search (BM25 + dense embeddings), returning ranked passages with timestamps and citations.

Enables AI agents to download, convert, and visually analyze videos by providing timestamped frames and locally transcribed speech, all without API keys.

Enables agents to assess structural information-asymmetry risk in prediction-market event contracts from contract text alone, with deterministic scoring and no LLM API dependency.

A Model Context Protocol (MCP) server for memory forensics analysis using MemProcFS.

A local MCP server that enables direct, persistent communication between multiple Claude Code agent sessions through a secure messaging channel. It includes built-in guardrails to manage message exchanges and supports optional human monitoring via Telegram.

Middleware that uses Model Context Protocol and generative AI to automatically generate native Crestron Construct interfaces (.cuig/.cuib), enabling natural language creation of AV control UI components.

Enables an automated development loop where Google Antigravity IDE performs code generation and fixes while OpenAI Codex CLI acts as an independent QA auditor, with live dashboards, slash commands, and closed-loop remediation.