Wavedash MCP server

Wavedash is an MCP server with 8 tools an agent can call, among them wavedash_get_agent_workflow, wavedash_get_doc, wavedash_get_publishing_checklist. It answers at https://mcp.wavedash.com/mcp over streamable HTTP, and it listed its tools to an anonymous client, so no sign-in was needed for that. Our probes reached it 6 of 6 times since 11 September 2026; the last check, on 24 October 2026, succeeded.

Status

Answering

Tools

Reliability

6 of 6 checks

Response time

230 ms

Transport

streamable HTTP

Last checked

24 October 2026

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

Description as the publisher wrote it.

The 8 tools Wavedash offers

Tool	What it does
`wavedash_get_agent_workflow`	Return a concise end-to-end workflow for AI agents creating a browser game from scratch and preparing it for Wavedash upload. Read-only and unauthenticated; upload still happens through the Wavedash CLI or Developer Portal. Inputs: engine, features
`wavedash_get_doc`	Fetch a full Wavedash docs page as Markdown by path or docs.wavedash.com URL. Read-only and unauthenticated. Inputs: path
`wavedash_get_publishing_checklist`	Return Wavedash upload and publishing checklist guidance, optionally including an engine-specific docs page. Read-only and unauthenticated. Inputs: engine
`wavedash_get_quickstart`	Return the Wavedash setup path for a browser game, optionally including an engine and SDK features. Read-only and unauthenticated. Inputs: engine, features
`wavedash_get_sdk_reference`	Fetch Wavedash SDK docs for a specific feature such as setup, multiplayer, achievements, leaderboards, cloud saves, UGC, players, events, or types. Read-only and unauthenticated. Inputs: topic
`wavedash_implementation_planner`	Plan a Wavedash game implementation from the user's goal, engine, and requested features. Use this before making architecture claims, selecting SDK features, or writing Wavedash integration code. Read-only and unauthenticated. Inputs: goal, engine, features
`wavedash_search_docs`	Search official Wavedash docs for browser game development, SDK integration, engines, CLI, upload, and publishing. Read-only and unauthenticated. Inputs: query, limit
`wavedash_validate_config`	Validate pasted wavedash.toml text for basic Wavedash CLI config issues. This does not read files; provide the config text as input. Inputs: toml

Add Wavedash to your AI client

Every block below points at https://mcp.wavedash.com/mcp. Pick your client and copy.

Claude Code: one command in your terminal

claude mcp add --transport http wavedash https://mcp.wavedash.com/mcp

Claude Desktop: claude_desktop_config.json

{
  "mcpServers": {
    "wavedash": {
      "command": "npx",
      "args": ["-y", "mcp-remote", "https://mcp.wavedash.com/mcp"]
    }
  }
}

Cursor: ~/.cursor/mcp.json, or .cursor/mcp.json in a project

{
  "mcpServers": {
    "wavedash": {
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

VS Code and GitHub Copilot: .vscode/mcp.json

{
  "servers": {
    "wavedash": {
      "type": "http",
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Zed: Zed settings.json

{
  "context_servers": {
    "wavedash": {
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Windsurf: ~/.codeium/mcp_config.json

{
  "mcpServers": {
    "wavedash": {
      "serverUrl": "https://mcp.wavedash.com/mcp"
    }
  }
}

JetBrains AI Assistant: Settings, Tools, AI Assistant, MCP, New MCP Server, as JSON

{
  "mcpServers": {
    "wavedash": {
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Continue: .continue/mcpServers/neuronto.yaml

name: Wavedash
version: 0.0.1
schema: v1
mcpServers:
  - name: Wavedash
    type: streamable-http
    url: https://mcp.wavedash.com/mcp

Gemini CLI: ~/.gemini/settings.json

{
  "mcpServers": {
    "wavedash": {
      "httpUrl": "https://mcp.wavedash.com/mcp"
    }
  }
}

Codex CLI: MCP server config

{
  "mcpServers": {
    "wavedash": {
      "type": "http",
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Warp: MCP servers, + Add, paste JSON

{
  "mcpServers": {
    "wavedash": {
      "url": "https://mcp.wavedash.com/mcp"
    }
  }
}

Goose: a one-click extension link

goose://extension?url=https%3A%2F%2Fmcp.wavedash.com%2Fmcp&type=streamable_http&id=wavedash&name=Wavedash

Is Wavedash up right now?

It answered our last check on 24 October 2026 in 230 ms. Over 6 checks since 11 September 2026 it answered 6. Status here comes from Neuronto's own probes, not from the publisher.

MCP servers similar to Wavedash

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Questions about Wavedash

How many tools does Wavedash have?

8, as returned by the server's own tools/list on 22 September 2026: wavedash_get_agent_workflow, wavedash_get_doc, wavedash_get_publishing_checklist, wavedash_get_quickstart, wavedash_get_sdk_reference, wavedash_implementation_planner, wavedash_search_docs, wavedash_validate_config.

Is Wavedash down?

It answered our last check on 24 October 2026 in 230 ms. Over 6 checks since 11 September 2026 it answered 6.

How do I add Wavedash to Cursor?

Put the server under mcpServers in ~/.cursor/mcp.json with the URL https://mcp.wavedash.com/mcp. The exact JSON is above, with the same setup for Claude Code, Claude Desktop, VS Code, Windsurf, Zed, Gemini CLI and the rest.

Does Wavedash need an API key?

It listed its tools to an anonymous client, so reading the tool list needs no key. Individual tools can still ask for credentials in their own inputs.

Where this comes from

Publisher: io.github.wvdsh. Endpoint host: mcp.wavedash.com. ARD identifier: urn:air:io.github.wvdsh:mcp:wavedash. First indexed 10 September 2026. The tools are exactly what the server returned; nothing on this page is inferred from its name. Ranking in Neuronto search is never for sale.

Is this your server? Get a message the day it stops answering or its tools change: monitoring, 14 days free. Or claim the domain to manage how it is listed.