Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Create and run any AI agents systems from 6k+ tools. Give your AI hands access to your Android.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://api.melaya.org/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http melaya https://api.melaya.org/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"melaya": {
"url": "https://api.melaya.org/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"melaya": {
"type": "http",
"url": "https://api.melaya.org/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://api.melaya.org/mcp메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 도메인 melaya.org 기준으로 확인되었어요(레지스트리가 도메인 소유를 확인해요)
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(1.2.0)은 41일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.
Governed Symantec Cloud DLP — 14 MCP tools, read-only with audit.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Let an AI assistant use your Android phone, your browser, and the rest of your Melaya account.
Also listed on mcp.so · mcpserver.dev · mcpmarket · cursor.directory · Glama · Product Hunt · AlternativeTo · SaaSHub · AI Agents Directory · AgentLocker · LaunchKiwi
Documentation · Melaya · Device Control · MCP Server
Melaya pairs a phone to your account and gives an agent the same view of it a person has: it reads the screen through Android's accessibility tree, then taps, types, swipes, and moves between apps. No per-app integration, no vendor API. If you can use the app, so can the agent.
This is a remote Model Context Protocol server. MCP is a vendor-neutral standard, so one endpoint works everywhere:
https://api.melaya.org/mcp
Nothing to install, no SDK required.
Claude Code
claude mcp add --transport http melaya https://api.melaya.org/mcp
Codex CLI
codex mcp add melaya --url https://api.melaya.org/mcp
Direct HTTP needs experimental_use_rmcp_client = true in ~/.codex/config.toml.
Cursor
~/.cursor/mcp.json, or .cursor/mcp.json for one project:
{ "mcpServers": { "melaya": { "url": "https://api.melaya.org/mcp" } } }
Claude
claude.ai, Desktop and mobile: Settings → Connectors → Add custom connector, paste https://api.melaya.org/mcp
ChatGPT
Settings → Connectors → Developer mode, paste the same endpoint
Le Chat
Connectors → Add custom MCP connector
VS Code
code --add-mcp '{"name":"melaya","type":"http","url":"https://api.melaya.org/mcp"}'
Everything else
Windsurf, Zed, Cline, Goose, Lovable, Gemini CLI, Qwen Code and any other MCP client take the same block, in whichever file that client uses for MCP servers:
{ "mcpServers": { "melaya": { "url": "https://api.melaya.org/mcp" } } }
Authentication is OAuth 2.1 with PKCE. You choose which permissions to grant on a Melaya consent page; the assistant receives a scoped token. Your password is never shared.
Then just ask:
Connect my phone and go through my unread Instagram DMs.
This server gives your assistant the tools. The [Melaya skill](https://github.com/melaya-labs/melaya-mcp/tree/main/skills/melaya) gives it the method: which tool to call first, how to connect services, build and validate a pipeline on a real run, set triggers and approvals, and read results. Install both and your assistant gets real work right the first time instead of guessing.
Any assistant (ChatGPT, Gemini, Cursor, …): paste this line.
Install the Melaya skill from https://github.com/melaya-labs/melaya-mcp/tree/main/skills/melaya and use it whenever I ask you to work with Melaya.
Claude Code: the Melaya plugin from this repo already bundles it, next to melaya-setup. Installing the plugin is enough. To use the skill on its own, copy it into your skills folder, then restart. It loads on its own when you mention Melaya.
git clone --depth 1 https://github.com/melaya-labs/melaya-mcp /tmp/melaya-mcp && cp -r /tmp/melaya-mcp/skills/melaya ~/.claude/skills/
Claude.ai and Claude Desktop: download skills/melaya as a .zip and upload it under Settings → Capabilities → Skills. Anywhere else, add SKILL.md as a project instruction or rules file.
Starts right Opens every session with melaya_setup_status and closes each gap it reports before doing anything else. Stays safe Never asks for a key in chat, never decides an approval for you, confirms before anything is sent or deleted.
Builds pipelines that run Reads the config before changing it, previews before saving, and judges a run by its real output, not its status. Loads only what it needs One short router plus eleven modules: quickstart, pipelines, agentic systems, data, triggers and approvals, devices, handover.
Read the screen, open apps, tap, type, scroll, swipe, screenshot. You watch it work, and one control stops everything.
Melaya ships navigation playbooks for common apps, so the agent arrives knowing where things are instead of exploring blindly.
The same read-act-verify loop on a desktop site, through the Melaya extension on Chrome or Edge. You attach the tab; the model never picks one. Several conversations, pipelines and the extension panel can work in the same browser at once, each in its own tab (up to 8): attach returns an agent id that the conversation passes on every browser call, and a tab another agent is using is never touched.
It can also debug the page it is on: network activity, console output, and a performance diagnosis that ranks causes with the file and the number behind each, rather than handing over a raw panel. Credential values are redacted at capture, before anything reaches the model.
Create a project for the work (one per client pilot, say), list the template library and instantiate a validated template, or author a pipeline from scratch, validate it before saving, schedule it, and watch it run. Hand a long or recurring job to an autonomous agent on your own machine, on your own model subscription, that carries on after the conversation ends.
Mail, documents, your ERP. Read-only by default, structurally: without the separate write permission the write path is blocked in two independent places, so a write stays blocked even if Melaya's own tool catalog is out of date.
Grant melaya:connectors.write as well and the assistant can act for you there too: send an email, create or update a record or a file. That includes tools that move money or trade (payments, refunds, purchases, transfers, ad-spend changes, orders): the consent screen says so, discovery labels them, and your assistant should confirm the exact action and amount with you first. Every write runs at once, with no second prompt, and is audit-logged. LinkedIn session tools are never reachable over MCP, at any permission.
Create a project, rename it or edit its description, and delete it once it is empty. Delete is a dry run until confirmed, only the project's creator can do it, and a project that still holds pipelines, run history or other members is refused. Plan limits apply exactly as in the app.
Runs, transcripts, tool traces, failure diagnosis, cost, and what your agents have learned across runs.
Enforced by the device or by the Melaya server, not by instructions, so no prompt and no agent instruction can move them.
Apps on the phone, origins in the browser. The agent can hand access back, narrowing the list or clearing it, but only you widen it: phone apps on your phone or in the Melaya app, and browser sites on the Melaya Browser Control page or by asking your assistant to add one (it then calls melaya_browser_allow_sites with that site; you can also ask it for every site). The skills tell it never to widen access on its own or because of something it read.
That asymmetry is deliberate. The agent reads text off your screen, and text can be written by anyone: a message, a comment, a web page. A boundary it could widen in response to what it reads would not be a boundary.
Direct phone control from your assistant runs in safe mode: publishing and paying stage an approval card, and you see the exact text before anything goes out. Phone agents and phone pipelines your assistant starts or saves keep the payment card in every mode: autonomous is stored and run as payments_only from here, which lets an agent publish without a card you asked it to skip, but still stops before every purchase or payment. Only you can set a fully unattended phone mod
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