MCP server for Veo 3.1 video generation models, enabling task creation (extend, text-to-video, upscale), status polling, and pricing checks via RunAPI.
A persistent Python REPL MCP server for AI agents with stateful execution, real timeouts, crash isolation, and an MCP bridge to call other tools in the project.
Pay-per-call USDC payment proxy for AI agents. Issue scoped Pay Tokens with hard spending caps and auto-journal every charge to freee / Money Forward / QuickBooks.
A lightweight MCP server for reading public YouTube data, offering tools to fetch video transcripts, playlist contents, and video metadata without requiring an API key.
Enables genomic sequence analysis through the Evo 2 model, supporting DNA sequence scoring, embedding, generation, and variant effect prediction with multiple model checkpoints (7B, 40B, 1B parameters).
Enables MCP-capable LLMs to generate and render ephemeral Prefab UI interfaces at runtime, with tools for generating UI code and searching Prefab components.
High-performance Model Context Protocol (MCP) server connecting Claude Code and AI agents to Google Gemini 3.8 Flash, Gemini 3.1 Pro, reasoning effort, and image generation.
This MCP server bridges AI agents with Apple Mail on macOS, enabling email operations like reading, sending, drafting, searching, and scheduling through natural language, with added features like stable draft IDs and confirmation-gated sending.
Enables querying Türkiye Sigorta Birliği’s Kasko Değer Listesi (vehicle insurance valuation list) through MCP, CLI, and Python, allowing natural language lookup of current and historical vehicle insurance values.
Enables AI tools to operate IBM i 5250 green screens, driving and testing interactive RPG programs by seeing screens, typing into fields, and pressing keys.
Enables AI agents to query Hungary's official legislation database (NJT) using native ELI identifiers, retrieving metadata and full text with verifiable citations.
Enables AI assistants to generate and validate 30+ UML and other diagram types (Mermaid, D2, Graphviz, BPMN, C4, and more) through the Model Context Protocol, returning rendered SVG, PNG, PDF, JPEG, or base64 output via Kroki, PlantUML, and Mermaid backends.