"Lottery games and results" matching MCP servers:

Lets MCP clients delegate tasks to the Google Antigravity CLI, including starting and continuing conversations and listing models, while returning structured results over stdio.

An MCP server that lets AI coding assistants delegate work to Capy's cloud agents and wait for results, all within the editor.

Enables compatible MCP clients to invoke Kimi Code for second opinions, code reviews, and delegated coding tasks with structured results.

Delegates coding tasks to the locally installed DeepSeek Harness CLI, enabling MCP clients to run prompts through dsh and receive results with exit code and timing.

Enables MCP clients like Claude Code and Codex to delegate coding tasks to Cursor's CLI agent, which implements changes in the workspace and returns clean, structured results for review.

Turns any MCP-over-stdio client into a supervisor for a long-lived DeepSeek Harness coding agent: dispatch a goal, interrupt or steer it mid-flight, and collect results — with conversations that survive process restarts and crashes. Also supports running many conversations at once, approval round-trips, and completion notifications instead of polling.

A local MCP server that lets Claude delegate scoped work to Codex with structured results and guardrails, supporting planning, code review, build, reverse engineering, and long-running background tasks.

An MCP server for local Cocos Creator 3.8 automation, enabling coding agents to create projects, edit scenes, and build WeChat Mini Games directly on a developer machine.

Rewrites coding prompts for optimal results with AI IDEs like Cursor by using Claude to add structure, context, and language-specific considerations to user prompts.

Enables AI agents to autonomously develop and test Godot 4 games through an MCP-based feedback loop, providing tools for authoring, running, observing, playtesting, and verifying game projects.

Enables agentic coding workflows in Claude Code through a multi-candidate patch evaluation loop that generates code variants, validates builds, scores results with mandatory vision testing, and automatically selects the best implementation.

Enables Claude Code to delegate bounded, read-only analysis and isolated patch proposals to the locally installed Codex CLI over MCP, with sanitized live status, revision-aware polling, and reviewable results.

Enables MCP-compatible clients to run reusable, task-specific coding agents defined in Markdown files, executing them through a chosen coding CLI backend and returning results to the same conversation. Supports shared agent, model, and permission configuration plus session continuation across multiple calls.

Enables users to run reusable Markdown-defined coding agents from any MCP-compatible client, delegating tasks such as code review, test writing, investigation, and documentation to a chosen coding CLI backend and returning results to the same conversation.

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.

Enables AI agents to spawn and manage headless opencode sessions as sub-agents for coding work, including parallel jobs, session continuation or forking, transcripts, and cleanup. It returns structured results such as final messages, tool-call summaries, errors, token usage, and cost.

Enables Codex to delegate coding tasks to a locally installed AI coding CLI over MCP, returning results, cost and turn metadata, and reusable session IDs for follow-up work.

Enables Claude Code to delegate coding implementation and testing to a local pi agent via MCP tools, including dispatching task books, monitoring status, steering or aborting runs mid-execution, and retrieving results and transcripts.

Delegates autonomous coding tasks to Z.ai's GLM models with a genuine agent loop, file operations, and verification via git and real process results.