MCP.Market

Wavedash MCP server

online · 100% uptime
by wvdsh·io.github.wvdsh/wavedash·v0.1.0·2 stars
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Wavedash docs and workflow guidance for building and publishing browser games.

A92/100grade A
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Safety scan
A92/100

full report

Adoption
Growing

2 stars

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Wavedash tools (4)

write = sends, deletes, buys or posts
  • get_wavedash_docFree

    Fetch a full Wavedash docs page as Markdown by path or docs.wavedash.com URL, for example sdk/achievements, engines/unity, or cli/configuration. Use this when the user wants to see a Wavedash docs page or when exact SDK, CLI, or config details are needed. Only docs.wavedash.com pages can be fetched. Read-only and unauthenticated.

  • search_wavedash_docsFree

    Search official Wavedash docs (docs.wavedash.com) for browser game development, SDK integration, engines, CLI, upload, and publishing. Use this instead of web search for any Wavedash question when the exact page is unknown. Returns ranked pages with paths, URLs, and excerpts. Read-only and unauthenticated.

  • validate_wavedash_configFree

    Validate wavedash.toml contents for Wavedash CLI config issues (missing game_id or upload_dir, entrypoint repeating the upload_dir, absolute paths, engine sections). Call this whenever the user shares wavedash.toml text or asks to check their Wavedash config, even if the problem looks obvious. Accepts single-line or fenced input. Pass the config text as the toml argument; this does not read files.

  • wavedash_implementation_plannerFree

    Plan and guide a Wavedash browser game integration from the user's goal, engine, and requested features. Call this first for any request to build, deploy, upload, or release a game on Wavedash, or to add Wavedash SDK features. Choose the stage: plan (architecture and reading order), setup (CLI install, sign-in, SDK init, wavedash.toml, local testing), features (SDK reference for the requested features), or deploy (upload and release checklist). Returns ordered steps, boundaries, and the relevant docs.wavedash.com pages with content. Read-only and unauthenticated.

Public scan report

scanner v0.1.9 · 2026-09-26 · same rubric, same numbers if you re-run it

no findings
  • –Code scanremote-only server, no package to scann/a
  • Live reliabilityremote reachable in 319ms20/20
  • Tool poisoning4 tool descriptions checked15/15
  • Auth qualityopen endpoint, read-only tools10/15
  • Maintenancelast push 1 days ago15/15
  • Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
Overall 92/100. Components that don't apply are left out of the denominator. Any critical finding is an F.RubricAppeal a findingJSON

How Wavedash compares

Against every graded Scraping and browsing MCP server, from our own scans and uptime checks. Updated after each scan run.

Safety score
92/100
higher than 85% of 866 Scraping and browsing servers
Tools
4
the typical Scraping and browsing server has 6
Tools that change things
0%
typical: 0%. Fewer write tools means less an agent can break
Uptime
100%
of our recent checks; the typical remote Scraping and browsing server answers 100%
Response time
157 ms
faster than 59% of 384 Scraping and browsing servers
GitHub stars
2
more than 65% of 583 Scraping and browsing servers

What its tools let an agent do: 4 read

Install Wavedash in Claude Code, Cursor or VS Code

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

What the publisher says

From the Wavedash repository's README, as published. We do not edit it. Read it on GitHub

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/ directory.

  • 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

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

Pushes to main automatically deploy the MCP Worker when MCP source, dependencies, Worker configuration, root package scripts, or the deployment workflow change. Documentation, skills, and submission files do not trigger a deployment. The Deploy MCP to Production GitHub Actions workflow also supports manual runs and loads deployment credentials through Doppler.

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

npm run mcp:deploy

License

MIT

Nothing above is checked by us. What we check is on the safety report.

Wavedash: common questions

Is Wavedash MCP server safe?
Yes, by our scan: it is graded A (92/100). Read the Wavedash safety report
How do I install Wavedash?
It runs remotely at mcp.wavedash.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
Does Wavedash need an API key?
Not as far as the registry entry and our scan can tell: no credentials are declared or required.
Is Wavedash maintained?
The last commit was 40 days ago (2026-09-25). The latest release is v0.1.0.
Is Wavedash up?
100% of our last 28 checks got an answer. We check remote servers about four times a day.
What can I use instead of Wavedash?
Servers from other publishers that do the same job: GrowBlocks Dev Kit MCP server, Open Computer Use MCP server and gamedev.pl MCP server. Compare all Wavedash alternatives.
How does Wavedash compare with other Scraping and browsing MCP servers?
safety score 92/100 (higher than 85% of 866 Scraping and browsing servers); tools 4 (the typical Scraping and browsing server has 6); tools that change things 0% (typical: 0%. Fewer write tools means less an agent can break). Full comparison.

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