"Lottery games and results" matching MCP servers:

Enables AI assistants to securely execute Python and C++ code snippets inside disposable, isolated Docker containers and receive structured results.

Speeds up coding agents by predicting and pre-executing upcoming tool calls, then safely returning validated cached results to eliminate wait time.

Enables Claude to access Tabletop Simulator through its External Editor API, allowing it to run Lua, inspect and manipulate objects, measure geometry, move pieces, and roll or read physics dice during games.

Orchestrates multiple MCP servers through a Deno sandbox, reducing token usage by 99.7% by processing tool calls and returning only compact results.

Enables an LLM to orchestrate multiple downstream MCP tools inside one isolated sandbox in a single turn, filtering intermediate results in memory and returning only the final output to cut context tokens.

Enables AI assistants to run, list, and analyze Lupa test suites, returning structured JSON results for debugging.

Enables AI assistants to interact with running games in real time — introspecting game state, simulating keyboard and mouse input to actually play, capturing screenshots, executing Lua code, hot-reloading files, and receiving push notifications when state changes.

Enables AI agents to create, edit, and run Godot 4.5+ games by providing tools for project scaffolding, scene manipulation, and engine interaction. It supports full game development workflows including node editing, script attachment, and project execution with debugging capabilities.

Provides Cheat Engine-like capabilities for game hacking and reverse engineering through Frida, enabling memory scanning, value modification, pattern matching, function hooking, and code injection across processes.

A secure Node.js execution environment that allows coding agents and LLMs to run JavaScript dynamically, install NPM packages, and retrieve results while adhering to the Model Control Protocol.

Enables a bot to inspect, query, create, edit, and script Roblox Studio instances in token-cheap batches, plus run Luau, playtests, screenshots, and inputs through Roblox's official Studio MCP connection. It runs locally over stdio or an authenticated local HTTP endpoint, returning small structured answers instead of dumping whole games into context.

A best-effort universal logic and numerical solver interface using MCP that implements the 'LLM sandwich' model to process queries, call dedicated solvers (ortools, cvxpy, z3), and verbalize results.

A mathematical expression calculator that processes user-input expressions and returns computed results, supporting basic operations and built-in constants like PI and E.

Enables AI agents to run Mathematica code, control live notebooks, and verify results through natural language.

Enables secure execution of Python code in a sandboxed WebAssembly environment using Pyodide and Deno. Automatically handles package management and captures complete execution results including stdout, stderr, and return values.

Enables interaction with SU2 CFD solver for session lifecycle management, config editing, solver execution, and results inspection, with optional CPACS integration for aircraft analysis.

Enables ChatGPT clients to submit, monitor, and retrieve persistent, approval-aware local coding tasks on macOS, preserving state and results across disconnects through a local-only MCP bridge.

Enables ChatGPT to submit tasks to a single explicitly bound local Codex workspace and conversation, then retrieve execution results, file contents, and diffs through MCP tools.

A Model Context Protocol server that enables AI assistants to perform YARA rule-based threat analysis on files and URLs, supporting comprehensive rule management and detailed scanning results.

Enables AI assistants to operate DIANA FEA under human supervision, automate solver workflows, parse results, and retrieve knowledge from local manuals and experience libraries.