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Ai MCP Server

by Wvdsh
Developer ToolsLow Risk10.0MCP RegistryRemote
Free

Server data from the Official MCP Registry

Wavedash docs and workflow guidance for building and publishing browser games.

About

Wavedash docs and workflow guidance for building and publishing browser games.

Remote endpoints: streamable-http: https://mcp.wavedash.com/mcp

Security Report

10.0
Low Risk10.0Low Risk

Valid MCP server (4 strong, 2 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry.

7 tools verified · Open access · No issues found

Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.

Permissions Required

This plugin requests these system permissions. Most are normal for its category.

HTTP Network Access

Connects to external APIs or services over the internet.

env_vars

Check that this permission is expected for this type of plugin.

file_system

Check that this permission is expected for this type of plugin.

How to Connect

Remote Plugin

No local installation needed. Your AI client connects to the remote endpoint directly.

Add this to your MCP configuration to connect:

{
  "mcpServers": {
    "io-github-wvdsh-wavedash": {
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Documentation

View on GitHub

From the project's GitHub README.

Wavedash AI

AI integration assets for Wavedash.

The canonical skill source lives in the Wavedash docs repo under skills/ and is served from https://docs.wavedash.com/.well-known/skills/index.json. This repo syncs that source into skills/ so agent platforms can install or index the published assets from GitHub.

The mcp/ package contains a read-only, unauthenticated remote MCP server for public Wavedash docs. It does not access user accounts, local files, builds, or private Wavedash data.

Provider plugins include Wavedash skills and, where supported, bundled config for the hosted remote MCP server.

Layout

  • skills/ - synced canonical skills for platforms that consume skills directly.
  • providers/claude/plugin/ - Claude Code plugin package.
  • providers/cursor/plugin/ - Cursor plugin package.
  • providers/openai/plugin/ - Codex plugin package.
  • mcp/ - read-only remote MCP server for public Wavedash docs.
  • .claude-plugin/marketplace.json - Claude Code marketplace manifest.
  • .cursor-plugin/marketplace.json - Cursor marketplace manifest.
  • .agents/plugins/marketplace.json - Codex marketplace manifest.
  • gemini-extension.json - Gemini CLI extension manifest using the root skills/ directory.

Sync skills

Pull from the public docs endpoint:

npm run sync:skills

Pull from a local docs checkout:

WAVEDASH_SKILLS_SOURCE_DIR=/path/to/wvdsh/docs/skills npm run sync:skills

GitHub Actions runs the same sync daily and commits changes when docs updates change the generated skill files.

MCP server

The Wavedash remote MCP server is live at:

https://mcp.wavedash.com/mcp

It is read-only and unauthenticated. It exposes public Wavedash docs, SDK guidance, engine setup help, and publishing checklists for agents.

Remote MCP clients that support Streamable HTTP can connect directly to the endpoint above.

Run the docs-only MCP server locally:

cd mcp
npm install
npm start

The endpoint is http://localhost:3000/mcp.

Validate the Cloudflare Worker bundle without publishing:

npm run mcp:deploy:dry-run

Deploy the MCP Worker from an environment that provides Cloudflare credentials:

npm run mcp:deploy

License

MIT

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Ai MCP Server - Wavedash docs and workflow guidance for building and | MCP Marketplace