🌌 Antigravity DevPilot MCP — Roblox Knowledge Bridge & Runtime Verifier

Where your AI coding agent stops hallucinating and starts quoting the actual DevForum thread.

A next-generation Model Context Protocol server that wires your favorite AI coding assistant directly into the pulsating nervous system of the Roblox developer ecosystem — the DevForum, the official Creator Docs, the API Reference, the Release Notes, and the community bug tracker. Instead of guessing whether TweenService:Create still accepts a certain easing style in 2026, your agent simply asks, and the answer arrives with citations, thread IDs, accepted solutions, and doc permalinks.

Unlike the original roblox-devforum-mcp — which focused narrowly on forum crawling and doc lookup — Antigravity DevPilot MCP treats the Roblox knowledge graph as a living organism. It doesn't just fetch; it reasons, cross-references, caches, and verifies. It remembers that the API you're about to use was deprecated three months ago in a Release Note that nobody read, and it warns you before you ship broken Luau to a million players.

🛰️ What Makes This Different?

Most MCP servers are glorified curl wrappers with a JSON parser taped on. Antigravity DevPilot MCP is a multi-layered knowledge refinery. Think of it as a librarian, a fact-checker, and a seasoned Roblox veteran sitting on your shoulder — except that librarian has an eidetic memory of 14 years of forum posts, and that veteran never sleeps.

It ingests:

• DevForum threads structured by category (Scripting Support, Bug Reports, Feature Requests, Resources, Community Tutorials)
• Accepted answers extracted with heuristics that distinguish "this is the accepted solution" from "this person just said 'thanks'"
• Creator Documentation articles, tutorials, and API dumps
• Release Notes mapped to engine versions
• Deprecation timelines with the exact release that introduced them
• Community bug reports tagged by severity and confirmation status

Then it exposes this entire corpus through a clean tool surface your AI agent can call.

🎯 The Problem We Actually Solve

You open your editor. You ask your AI: "Write a Luau script that raycasts the player's mouse and spawns a part at the hit position." The model confidently produces code using Ray.new() — which has been soft-deprecated since forever — and forgets to filter the Mouse.TargetFilter. You ship it. It breaks in three subtle ways. You spend two hours on the DevForum discovering that a random 2021 thread already documented this exact pitfall.

Antigravity DevPilot MCP collapses that two-hour loop into one tool call.

The agent now:

1. Queries the current API Reference for RaycastParams.
2. Checks whether Ray.new() is formally deprecated or merely discouraged.
3. Searches DevForum for recent threads confirming the current idiomatic pattern.
4. Pulls the accepted answer's code snippet.
5. Surfaces the doc permalink so you can verify independently.

All before a single line of Luau is emitted.

✨ Feature Matrix

🧠 Intelligence & Reasoning Layer

• Semantic DevForum Search — search by intent, not just keywords. "Why does my part fall through the floor" is understood as a collision-group question.
• Accepted Answer Extraction — the tool returns the solved post, not the 40 replies of speculation leading up to it.
• Cross-Source Verification — a claim from the forum is validated against the official docs before being returned as authoritative.
• Deprecation Radar — flags APIs that are Deprecated, Soft-Deprecated, Legacy, or Pending Removal, with the release that changed their status.
• Thread Freshness Scoring — a 2019 answer about DataStoreService is weighted lower than a 2025 answer on the same topic.
• Citation Chains — every response includes a resolvable reference you can click to audit.

📚 Corpus Coverage

• Full DevForum category tree with per-category depth control.
• Creator Docs index — Guides, Reference, Recipes, Tutorials.
• API Reference entries with signatures, parameters, return types, and security tags.
• Release Notes by engine version, including Studio and Client deltas.
• Bug Report Aggregation — see if your bug is already tracked, confirmed, or shipped.
• Tutorial Mining — pull community tutorials ranked by engagement and recency.

🖥️ Client Experience

• Responsive UI layer for inspecting cached tool results in both desktop and narrow viewports.
• Multilingual Retrieval — English, Portuguese, Spanish, French, German, and Japanese DevForum locales are indexed and translated on the fly.
• 24/7 Availability — the server is designed for always-on operation with graceful degradation when upstream sources are flaky.
• Streaming Responses — long tool outputs stream back so your agent isn't blocked.
• Deterministic Caching — identical queries return identical bytes, making agent behavior reproducible.
• Offline Snapshot Mode — download a periodic snapshot of the corpus and query it without network access.

🔌 Integration & Protocol

• MCP-native — works with any MCP-compatible client.
• Stdio and HTTP transports supported out of the box.
• Tool Auto-Discovery — clients list available capabilities at handshake.
• Structured Errors — every failure has a code, a message, and a suggested remediation.
• Rate-Aware Backoff — respects upstream rate limits without failing the caller's request.

🛡️ Reliability

• Retry with jitter on transient upstream failures.
• Circuit breakers around each upstream source.
• Health endpoint for orchestrator probes.
• Structured logging in JSON for ingestion pipelines.
• Configurable TTLs per content class — bug reports expire faster than tutorials.

🧩 Tool Surface (What Your Agent Can Call)

Each tool returns a structured payload with citations, confidence, freshness, and warnings fields, so your agent can reason about the reliability of what it just learned.

🔍 SEO-Friendly Keyword Integration

This project sits at the intersection of several fast-moving domains, and we've designed it so that anyone searching for these topics naturally lands here:

• Roblox MCP server for AI coding agents
• DevForum search API wrapper for LLM tool use
• Roblox Luau code verification and deprecation checking
• Model Context Protocol integrations for game development
• Roblox Creator Docs retrieval for autonomous agents
• known bug lookup for Roblox Studio development
• accepted answer extraction from developer forums
• deprecated Roblox API detection in generated code
• AI-assisted Roblox scripting with citation-backed responses
• agentic developer tooling for the Roblox platform

If you've ever typed "roblox why is my datastore not saving" into a search bar at 3 AM, this repository was built for you.

🧭 Architecture at a Glance

The system is organized into five independent layers, each replaceable without touching the others:

1. Ingestion Layer — schedulers pull content from upstream sources on configurable cadences.
2. Normalization Layer — raw HTML, JSON, and markdown are converted into a unified internal schema.
3. Index Layer — a hybrid vector + keyword index that supports both fuzzy semantic search and precise lookup.
4. Tool Layer — the MCP tool definitions, argument validation, and response shaping.
5. Transport Layer — stdio and HTTP endpoints, health checks, and metrics.

The separation matters because upstream sources change without warning. When the DevForum reshuffles its category tree, only the ingestion layer needs updating.

🌐 Multilingual Support in Practice

Roblox is a genuinely global platform. A bug report written in Portuguese may describe exactly the issue a German developer is hitting. Antigravity DevPilot MCP:

• Detects the language of each thread at ingestion time.
• Stores the original text and an English gloss side-by-side.
• Allows retrieval in the caller's preferred language.
• Preserves code blocks verbatim across translation — no mangled Luau.
• Flags machine-translated content explicitly so your agent doesn't treat it as a primary source.

The 2026 roadmap includes community-contributed glossaries for Roblox-specific terminology that generic translation models consistently butcher.

⚙️ Responsive UI Layer

While the primary consumer is an AI agent, humans occasionally need to look at what the agent saw. The bundled