zandronum-mcp
Enables AI assistants to interact with the Zandronum game engine for development, including running commands, spawning actors, and loading maps.
README
<p align="center"> <img src="assets/zandromcp.png" alt="zandronum-mcp" width="200"> </p>
zandronum-mcp
Let an AI assistant supercharge Zandronum development from your editor: Write C++ code, ACS, DECORATE, fix bugs, the works.
Setup
-
Download the engine. Grab the build for your OS from Releases and unzip it anywhere.
- Windows:
zandronum-mcp-engine-windows-x64.zip→ pointZANDRONUM_EXEatzandronum-mcp-hooks.exe. - macOS:
zandronum-mcp-engine-macos-x64.zipunzips tozandronum-mcp-hooks.app(Intel build, runs under Rosetta 2) → pointZANDRONUM_EXEat the.app(the MCP finds the binary inside it). - Linux or a custom build: build it yourself.
- Windows:
-
Learn how to add MCP Servers to your preferred editor. In VS Code, put this in
.vscode/mcp.json(Cursor, Claude Desktop, Windsurf, etc. uses something similar. Go look it up yourself or have your AI agent do it for you){ "servers": { "zandronum": { "command": "npx", "args": ["-y", "zandronum-mcp"], "env": { "ZANDRONUM_BRIDGE_PORT": "7777", "ZANDRONUM_EXE": "C:/path/to/zandronum.exe" } } } }Point
ZANDRONUM_EXEat thezandronum.exeyou just unzipped, then restart your chat session. -
Verify with your preferred AI Agent by asking it, "Is Zandronum MCP loaded?" if it responds positively, then it is wired up.
-
You're done. You can now ask your agent to start working on the engine or start making mods. Remember, the MCP only works with the custom build of Zandronum you downloaded or built from step 1.
Advanced
Building the engine yourself, Linux/macOS, launching manually, running the server from source, contributing → docs/ADVANCED.md.
Recommended Servers
playwright-mcp
A Model Context Protocol server that enables LLMs to interact with web pages through structured accessibility snapshots without requiring vision models or screenshots.
Magic Component Platform (MCP)
An AI-powered tool that generates modern UI components from natural language descriptions, integrating with popular IDEs to streamline UI development workflow.
Audiense Insights MCP Server
Enables interaction with Audiense Insights accounts via the Model Context Protocol, facilitating the extraction and analysis of marketing insights and audience data including demographics, behavior, and influencer engagement.
VeyraX MCP
Single MCP tool to connect all your favorite tools: Gmail, Calendar and 40 more.
graphlit-mcp-server
The Model Context Protocol (MCP) Server enables integration between MCP clients and the Graphlit service. Ingest anything from Slack to Gmail to podcast feeds, in addition to web crawling, into a Graphlit project - and then retrieve relevant contents from the MCP client.
Kagi MCP Server
An MCP server that integrates Kagi search capabilities with Claude AI, enabling Claude to perform real-time web searches when answering questions that require up-to-date information.
E2B
Using MCP to run code via e2b.
Neon Database
MCP server for interacting with Neon Management API and databases
Exa Search
A Model Context Protocol (MCP) server lets AI assistants like Claude use the Exa AI Search API for web searches. This setup allows AI models to get real-time web information in a safe and controlled way.
Qdrant Server
This repository is an example of how to create a MCP server for Qdrant, a vector search engine.