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Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
제작자가 쓴 설명(영어 원문)
Every EmpirioLabs model and platform feature as tools: chat, media, search, jobs, GPU Cloud, agents.
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://mcp.empiriolabs.ai/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http empiriolabs https://mcp.empiriolabs.ai/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"empiriolabs": {
"url": "https://mcp.empiriolabs.ai/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": {
"empiriolabs": {
"type": "http",
"url": "https://mcp.empiriolabs.ai/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://mcp.empiriolabs.ai/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 7일 점검
레지스트리 이름이 도메인 empiriolabs.ai 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 2개월 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: Vexa, emailmd, MCP WhatsApp Cloud
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.
Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.
MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Remote Model Context Protocol server for EmpirioLabs AI. Run AI models, image, video and speech generation, web search, batch jobs, GPU Cloud and hosted agents as tools with your EmpirioLabs AI account. It is a remote server, so there is nothing to install.
| Server URL | https://mcp.empiriolabs.ai/mcp (Streamable HTTP) |
| Authentication | OAuth 2.1 (sign in with your EmpirioLabs account) or an EmpirioLabs API key as a bearer token |
| Registry name | ai.empiriolabs/mcp in the official MCP Registry, version 1.2.0 |
| Documentation | https://docs.empiriolabs.ai/mcp |
| Support | support@empiriolabs.ai |
Every model and feature EmpirioLabs adds is available here as it launches, at the same final prices and limits as the API. Connections use your prepaid credits, and you can disconnect any app under Settings in the dashboard.
https://mcp.empiriolabs.ai/mcp as the URL. Leave the OAuth client fields empty.Claude Code:
claude mcp add --transport http empiriolabs https://mcp.empiriolabs.ai/mcp
Run /mcp inside Claude Code to complete the sign-in the first time. The repository is also a Claude Code plugin (.claude-plugin/plugin.json), so it can be installed from a plugin marketplace.
You can also add the server yourself: open Settings, then Plugins, and turn on Developer mode. Then, on the Plugins page, choose Add plugin, then Create app, and enter https://mcp.empiriolabs.ai/mcp as the server URL with OAuth authentication. The server also provides the search and fetch tools ChatGPT uses for connectors, so it works in chat and in deep research.
Remote servers are configured with a URL. Sign in through OAuth when the editor prompts, or add an API key header:
{
"mcpServers": { "empiriolabs": { "url": "https://mcp.empiriolabs.ai/mcp", "headers": { "Authorization": "Bearer [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]" } } } }
VS Code reads the same shape from .vscode/mcp.json with a servers key and "type": "http". Codex CLI: codex mcp add empiriolabs --url https://mcp.empiriolabs.ai/mcp. Gemini CLI and Windsurf accept the JSON block above in their MCP settings. Cline: see llms-install.md.
copilot plugin marketplace add EmpirioLabs-AI/mcp
copilot plugin install empiriolabs-ai@empiriolabs
The plugin adds the server as empiriolabs. Sign in when Copilot CLI asks, and run /mcp auth empiriolabs to sign in again or switch accounts. To use an API key instead of the plugin, add the server yourself:
copilot mcp add --transport http --header "Authorization: Bearer [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]" empiriolabs https://mcp.empiriolabs.ai/mcp
Antigravity names the endpoint field serverUrl, not url. Put this in ~/.gemini/config/mcp_config.json, or in plugins/ /mcp_config.json to ship it with a plugin:
{
"mcpServers": { "empiriolabs": { "serverUrl": "https://mcp.empiriolabs.ai/mcp", "headers": { "Authorization": "Bearer [PopNx MCP ตัดค่าที่หน้าตาเหมือนกุญแจออก]" } } } }
A server that fails to connect is silently absent from Antigravity's tool list rather than reported as an error, so check the key first if the tools do not appear.
These assistants take the server as a custom connector; paste https://mcp.empiriolabs.ai/mcp and sign in when asked.
grok.com/connectors, choose New Connector, then Custom, and enter the URL.The server speaks JSON-RPC over POST https://mcp.empiriolabs.ai/mcp. Send Authorization: Bearer and Accept: application/json, text/event-stream on every request.
curl "https://mcp.empiriolabs.ai/mcp" \
-H "Authorization: Bearer $EMPIRIOLABS_API_KEY" \ -H "Accept: application/json, text/event-stream" \ -H "Content-Type: application/json" \ -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"list_models","arguments":{"modality":"image","limit":5}}}'
88 tools in 10 toolsets. The complete reference with every parameter is on the documentation page.
| Toolset | What it covers |
|---|---|
| Models | Browse the model catalog, prices, capabilities, and parameters |
| Text | Run chat, embeddings, reranking, decisions, and AI text detection (uses credits) |
| Search | Run web search, grounded answers, and research (uses credits) |
| Media | Generate and edit images, video, audio, speech, transcription, document OCR, and 3D (uses credits) |
| Jobs | Check, wait for, and cancel generation jobs |
| Agents | Run and manage agent tasks (uses credits) |
| Account | Read usage history and the current balance |
| Batch | Upload batch files and manage batch jobs (uses credits) |
| GPU Cloud | Deploy and manage GPU instances, clusters, and volumes (billable) |
| Hosted Agents | Create and manage hosted agents (billable) |
Profiles expose a subset of toolsets at a shorter URL:
| URL | Toolsets |
|---|---|
https://mcp.empiriolabs.ai/mcp | all |
https://mcp.empiriolabs.ai/mcp/inference | models, text, search, jobs, account |
https://mcp.empiriolabs.ai/mcp/media | models, media, jobs, account |
https://mcp.empiriolabs.ai/mcp/cloud | models, account, gpu, hosted_agents |
Combine toolsets with +, for example https://mcp.empiriolabs.ai/mcp/models+text+jobs.
Ready-made requests that chain several tools; clients that support MCP prompts list them next to the tools.
| Prompt | What it does | Arguments |
|---|---|---|
choose_model | Compare EmpirioLabs models for a task and recommend one, with a cheaper fallback and final prices. | task, modality (optional), priority (optional) |
research_with_citations | Answer a question from live web research and cite every source. | question, depth (optional) |
generate_media | Create an image, video, audio track or 3D asset from a description and return the finished files. | description, kind (optional), model (optional) |
deploy_gpu_workload | Rent a GPU on EmpirioLabs GPU Cloud, start a workload on it and report the endpoints and hourly cost. | workload, gpu (optional), max_hourly_price (optional) |
spend_report | Summarise the account balance, recent usage and everything that is still running and billing. | period (optional) |
This repository holds the public listing material for the hosted server: the registry server.json, the LobeHub and Claude plugin manifests, the icons, and the install notes. Every file that describes the tool surface is generated from the server's own definition, so it always matches what https://mcp.empiriolabs.ai/mcp serves. The server itself is operated by EmpirioLabs.ai LLC.
The files in this repository are licensed only for installing and connecting to EmpirioLabs AI; see LICENSE. The EmpirioLabs name and logos are trademarks of EmpirioLabs.ai LLC.