"Lottery games and results" matching MCP servers:

Wallet-funded MCP client for six paid Utilia tools: Solana priority fees, transaction diagnosis and simulation, token-risk checks, PDF-to-Markdown, and audio normalization over x402. MIT-licensed and installable from npm.

A Model Context Protocol server that converts diverse file types, including PDFs, images, audio, and Office documents, into Markdown format. It also transforms web content like YouTube transcripts and Bing search results into readable text for model consumption.

Free Remotion video templates, creative guides and render diagnostics. No API key for local tools; optional paid hosted Studio workflows. Start with get_capabilities.

Converts various file types (PDF, images, audio, DOCX, XLSX, PPTX) and web content (YouTube videos, web pages, Bing search results) into Markdown format for easy reading and sharing.

Enables AI agents to author, validate, render, measure, and fix 2D rigs and animations through 16 tools, returning results as images and providing a live editor bridge.

Enables MCP clients to generate Google Flow images and videos, check connection status, list jobs, and retrieve job results through a local browser bridge.

FFmpeg for AI agents: upload authorized local video, audio or images, run remote processing jobs, and download results. Scoped API keys, allowance checks, cancellation and result deletion.

Enables editing inside an open Premiere Pro project by reading the real timeline, applying cuts and transcript-based cleanup in place, and verifying results with rendered frames from the Program Monitor.

A local MCP bridge that lets AI agents build and edit real TouchDesigner networks by creating and wiring operators, setting parameters and expressions, validating the network, and viewing rendered image previews to iterate on results.

An MCP server that enables AI clients to inspect footage and audio, edit revision-locked timelines or generated source code, render with Remotion or HyperFrames, and verify results through measurements for iterative video editing.

Lets AI agents read frame-accurate video review notes — timestamps, frames, annotations, and pointing targets tied to source elements — so they can fix rendered videos and re-check the results. Supports listing reviews, retrieving annotated frames, watching for new feedback, acknowledging, replying, resolving, dismissing, and leaving their own critique notes.

An AI-native game engine MCP server that enables AI agents to create, modify, and run games using 53 tools for scene creation, physics, audio, 3D rendering, and AI-generated images and music.

Enables MCP clients such as Claude Code to operate Logic Pro — transport, track selection/mute/solo/arm, mixer volume and pan, 8-band Channel EQ, and insert plugin slots — by emulating a Mackie Control surface over a CoreMIDI virtual port. Every command is verified against the LED, fader, and LCD feedback Logic sends back, so results report whether each action actually took effect.

Enables AI agents and scripts to edit, convert, repair, separate, tune, transcribe, notate, mix, and master audio through stable versioned JSON commands, with provenance sidecars and replayable, reproducible results. Every capability is exposed as tooling an agent can chain without a GUI, including dry runs, schema introspection, and pass/fail quality gates.

Enables high-quality text-to-image generation using the Hunyuan Image 2.1 model via Replicate API. Supports multiple image sizes, batch generation, and advanced controls like guidance scale and seed for reproducible results.

Enables turning Korean screenplays and ad storyboards into shot plans and generating AI images/videos across multiple engines while tracking WOON credit usage and saving results to PUPASTAGE projects.

Enables remote agents and CLIs to send images to a Mac-hosted desktop upscaling engine over a home-LAN Streamable HTTP MCP connection, choose models and scaling options, and download upscaled results without requiring a local GPU or desktop app.

Enables MCP clients to control Cavalry motion graphics projects through its local JavaScript API, supporting scene and layer inspection, creation, editing, keyframing, expressions, saving, and rendering with validated structured results.

Enables agents to analyze audio through a pure standard-library acoustic time-domain autocorrelation pitch tracker and vocal stability estimator, exposing deterministic JSON results as MCP tools over STDIO JSON-RPC.

Enables MCP agents to inspect and precisely edit a running Ardour session — tracks, buses, groups, mixer, transport, regions, internal MIDI, plugins, routing and automation — through the DAW's Lua APIs with optional native OSC, plus offline audio analysis and comparison of master exports. Edits are exposed as 80 typed tools with persistent IDs, explicit units, preflight validation and structured change/error results.

Enables local agents to discover and download videos from current browser pages, manage download tasks, and retrieve progress and results via MCP.

Lets AI assistants render HTML animations to MP4 or GIF in 16:9, 9:16 and 1:1, preview single frames to check their own work, and finish videos with royalty-free music, AI voiceover, burned-in captions, titles and logos. It renders code frame by frame in a real browser rather than generating video from a text prompt.

Provides tools to read PDFs, extract images, convert between PDF and DOCX, create DOCX from text, and generate PDFs from DOCX, text, or HTML.

Enables Claude AI to control Ableton Live and Max for Live, allowing music production tasks like track management, MIDI editing, and pattern generation directly from conversation.

Enables generating game assets from natural language prompts, including sprite sheets, animations, voiceover, sound effects, chiptune music, tilesets, backgrounds, VFX, and cohesive asset packs with shared style and audio DSP presets.

Enables MCP clients to analyze, inspect, and manipulate images and videos with deterministic FFmpeg/sharp tools and pluggable AI providers, returning timestamped, evidence-backed results that can be independently re-verified.

Enables MCP clients to score the retention quality of the first three seconds of shortform video hooks using audio/video telemetry and transcript input, returning deterministic JSON results for viral hook optimization.

Enables AI clients to transcribe YouTube links and uploaded audio or video files, then retrieve the resulting transcripts as text, SRT, VTT, or JSON with timestamps and optional speaker labels. Also supports paging through long transcripts, checking upload progress, listing or deleting jobs, and viewing remaining account minutes.

Hands local video files to Gemini's native video understanding for detailed, timestamped descriptions, and also supports image/media viewing with frame extraction.

Feedback ingestion for AI agents. Record your screen and talk; your agent does the rest — files the bugs, writes the spec, builds the backlog.