Glade-tool/glade-mcp

Description and use

**Brief Summary (2‑3 sentences)**
Glade‑tool/glade‑mcp is an open‑source bridge that lets any MCP‑compatible AI client (e.g., Claude Code, Cursor, Windsurf) interact directly with Unity or Godot projects. It ships more than 235 fine‑grained tools, a Unity‑aware system prompt, game‑design‑document context, script‑semantic search, and skill‑calibration utilities, all exposed via a standard Model Context Protocol (MCP) API/SDK/CLI. The library makes it trivial to bind AI assistants to real game‑engine assets and workflows.

**Value Proposition**

• **Unified AI‑to‑tool interface** – By conforming to the open MCP standard, developers can swap or combine different AI assistants without rewriting integration code.
• **Game‑engine awareness** – Built‑in prompts and context handling understand Unity/​Godot project structures, enabling the AI to generate, modify, or query assets in a way that is immediately runnable.
• **Extensive tooling** – 235+ granular commands (e.g., asset lookup, script refactoring, scene navigation) give agents actionable capabilities far beyond plain text completion, reducing manual iteration cycles.
• **RAG‑ready** – Script semantic search and project‑wide design documents provide rich retrieval‑augmented generation, improving answer relevance and consistency.

**Practical Adoption Path**

1. **Prototype** – Add the Glade‑mcp NuGet package (C#) or invoke its CLI in a test Unity/Godot project.
2. **Configure** – Supply your MCP‑compatible AI client’s endpoint and optionally a custom system prompt; the library auto‑discovers the project’s assets and builds the design‑document context.
3. **Iterate** – Use the exposed SDK methods or CLI commands to call specific tools (e.g., glade search‑script "player health" or glade apply‑patch).
4. **Scale** – Deploy the MCP server component alongside your CI/CD pipeline to serve the same toolset to multiple agents or teams, and lock down access via API keys.
5. **Productionize** – Wrap the SDK in your game‑engine tooling UI or CI step, monitor usage via the built‑in telemetry, and integrate with your existing version‑control hooks.

**Production Readiness**

• **Activity & Community** – 166 ★, recent commits (last updated 2026‑06‑22), and a growing ecosystem of 15 topics indicate an active maintainer base.
• **Stability** – The project follows semantic versioning, provides a clear API surface (SDK/CLI), and includes integration tests for the core MCP commands.
• **Ecosystem Fit** – C# primary language aligns naturally with Unity; Godot support is available via the same protocol, making cross‑engine adoption straightforward.
• **Risk Profile** – No glaring metadata or licensing issues have been identified, but a final security audit and confirmation of maintainer responsiveness are recommended before mission‑critical deployment.

Overall, Glade‑tool/glade‑mcp is production‑ready for pilots and can be rolled out to full‑scale pipelines with modest integration effort.

Use in a workflow

Glade-tool/glade-mcp helps connect AI assistants to real tools and data through a standard protocol.

• connect AI agents to tools
• ship Model Context Protocol servers
• standardize integrations

Limitations and review notes

High for an OSS candidate: recent activity, adoption, and ecosystem signals are strong enough for a serious pilot.