Spec Driven Development
MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.
제작자가 쓴 설명(영어 원문)
Resemble AI: deepfake, AI-text, and site agent detection, Detect Agents, intelligence, watermarks.
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.resemble.ai/mcp터미널에서 이 명령어를 실행하세요
claude mcp add --transport http resemble https://mcp.resemble.ai/mcp프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"resemble": {
"url": "https://mcp.resemble.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": {
"resemble": {
"type": "http",
"url": "https://mcp.resemble.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.resemble.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.
도구 이름과 설명은 서버가 2026년 11월 7일에 알려 준 그대로예요. 우리가 아니라 제작자가 쓴 글이고, 일반 텍스트로만 보여 드려요.
detect_deepfakeDetect whether media (audio, image, or video) at a public HTTPS URL is a deepfake / AI-generated. Polls to completion and returns the verdict label, confidence score, and full result. Optional flags add media intelligence, audio source tracing, visualization, reverse image search
get_detectionFetch a detection by UUID, polling until it completes (bounded). Use after detect_deepfake when a long job exceeded its wait budget.
detect_ai_textDetect whether TEXT (an essay, email, post, review, comment, article) was written by an AI language model. Needs at least 25 words: shorter text comes back as prediction 'uncertain' with no model call - concatenate several messages from the same author to reach the minimum. Retur
get_text_detectionFetch a text detection by UUID, polling until it completes (bounded). Use after detect_ai_text returned status 'processing' - typically a cold start.
analyze_mediaAnalyze media for structured intelligence: transcription, translation, language, speaker info, emotion, scene description, abnormalities, and misinformation analysis. media_type: auto | audio | video | image.
ask_about_detectionAsk a natural-language question about a COMPLETED detection (e.g. 'how confident is the model that this is fake?'). Returns the grounded answer.
detect_watermarkCheck whether media at a public HTTPS URL carries a Resemble invisible watermark (audio-first; per-channel verdict for audio).
apply_watermarkEmbed an invisible Resemble provenance watermark into media (audio-first) and return the watermarked media URL. strength 0.0-1.0 (image/video only).
trace_audio_sourceGet the audio source-tracing report for a detection (which AI platform generated the fake audio). Only available when detection ran with audio_source_tracing and labeled the audio fake.
list_detect_agentsList the managed Detect Agents — investigators that wrap detection in a multi-step workflow ending in a written assessment. Returns each agent's preset_id plus this team's run allowance (free_runs_remaining, entitled), which is worth checking before starting a run.
run_detect_agent_investigationRun a managed Detect Agent investigation against media at a public HTTPS URL and return its verdict. preset_id is one of: investigate_social_content, review_insurance_claim, verify_breaking_news, verify_document, verify_evidence, verify_id (confirm with list_detect_agents). query
get_detect_agent_runFetch a persisted Detect Agent investigation by run_id, including its full event transcript. Use after run_detect_agent_investigation reported timed_out, or to re-read an earlier investigation.
agent_detection_list_sitesList this team's Agent Detection integrations. Agent Detection tells a website whether each visitor is a person or an AI agent (for example a personal assistant browsing on someone's behalf). Each integration is one website, with the domains its publishable key works on and the o
agent_detection_create_siteCreate an Agent Detection integration for a website and return its publishable key (pk_live_...) and the script snippet to install. domain is the site's domain, e.g. example.com. If the team already has an integration for that domain, the existing one is returned instead of a dup
agent_detection_update_siteReplace the list of domains an Agent Detection integration's publishable key is valid on (for example to add a staging or www host), and optionally rename it. domains replaces the whole list, so include every domain to keep; at least one is required.
agent_detection_get_analyticsSummarise who is visiting a website: people vs AI agents. Returns totals (visits, decided, agents, people, agent_share, gated), counts per visitor class (human, computer_use_agent, browser_automation, scripted_client), and breakdowns by page, day, and network. Use this to show ho
agent_detection_list_sessionsList individual website visits, newest first, each with its verdict (settled: human, agent, or null while still open), visitor_class, p_person, the page, referrer, user agent, and duration. Same filters as agent_detection_get_analytics plus a free-text search. per_page max 100.
agent_detection_get_sessionGet one website visit and the evidence behind its verdict: the feature vector it was decided from, plain-language observations, and each model read. When the visit was recorded, the raw event stream is available; it is omitted unless include_events is true, and then capped at the
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 8일 점검
레지스트리 이름이 GitHub 계정 resemble-ai 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
551ms 만에 응답(HTTP 200)
로그인 필요 없음
도구 설명 18개를 읽었고, AI에게 보내는 숨겨진 지시는 없었어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 3개 중 3개를 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(1.4.0)은 11일 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, Thth
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:↓ 주간 다운로드i★ 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.
Call before you post: ships a draft to Threads/Bluesky/Mastodon only after a person approved it.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
Official MCP server exposing Resemble AI documentation as resources and tools. Connect to Cursor, Claude Code, or any MCP-compatible client to enable your coding assistant to access Resemble AI docs during development.
This is the official Resemble AI MCP server. It implements the Model Context Protocol (stdio transport) to serve documentation from docs/pages/ as queryable resources. The server aggregates docs by topic and provides full-text search across all MDX files.
What it provides:
Once connected, your coding assistant can query Resemble AI documentation programmatically. You can vibe code complete applications—your assistant has instant access to guides, tutorials, and exact API schemas for accurate code generation.
git clone https://github.com/resemble-ai/resemble-mcp.git
cd resemble-mcp
python3 -m venv venv source venv/bin/activate # Windows: venv\Scripts\activate
pip install -r requirements.txt
Cursor: Add to ~/.cursor/mcp.json:
{
"mcpServers": { "resemble-ai-docs": { "command": "/path/to/resemble-mcp/venv/bin/python", "args": ["/path/to/resemble-mcp/server.py"] } } }
Claude Code / Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent location for your OS:
{
"mcpServers": { "resemble-ai-docs": { "command": "/path/to/resemble-mcp/venv/bin/python", "args": ["/path/to/resemble-mcp/server.py"] } } }
Note: Use absolute paths. Replace
/path/to/resemble-mcpwith your actual path.
Restart your MCP client to load the server. Tools will be available after restart.
resemble_docs_lookupReturns aggregated documentation for a topic. Accepts topic ID and returns all related pages concatenated.
Parameters:
topic (string, required): One of: voice-cloning, text-to-speech, speech-to-speech, speech-to-text, getting-started, voice-design, streaming, detect, agents, sdks, projects-clips, audio-tools, ssmlReturns: Markdown content with all pages for the topic.
resemble_searchFull-text search across all documentation pages. Returns matching pages with snippets.
Parameters:
query (string, required): Search querylimit (integer, optional): Max results (default: 5)Returns: List of matching pages with titles, paths, and content snippets.
resemble_get_pageRetrieves a specific documentation page by path.
Parameters:
path (string, required): Page path relative to docs/pages/ (e.g., getting-started/quickstart)Returns: Full page content in Markdown.
resemble_list_topicsLists all available topic IDs with descriptions.
Returns: Markdown list of topics.
resemble_api_endpointGet detailed OpenAPI specification for a specific API endpoint. Returns exact request/response schemas, parameters, and types.
Parameters:
method (string, required): HTTP method (GET, POST, PUT, PATCH, DELETE)path (string, required): API endpoint path (e.g., /synthesize, /voices)Returns: Endpoint specification with schemas, parameters, and response formats.
resemble_api_searchSearch the OpenAPI spec for endpoints matching a query.
Parameters:
query (string, required): Search query (e.g., voice, streaming, agent)Returns: List of matching endpoints with methods, paths, and summaries.
Once configured, your coding assistant (Cursor, Claude Code, etc.) can call these tools directly. Example use cases:
Building a voice cloning app:
{
"name": "resemble_docs_lookup", "arguments": { "topic": "voice-cloning" } }
Searching for streaming implementation:
{
"name": "resemble_search", "arguments": { "query": "websocket streaming", "limit": 5 } }
Getting exact API schema for implementation:
{
"name": "resemble_api_endpoint", "arguments": { "method": "POST", "path": "/synthesize" } }
Finding all voice-related API endpoints:
{
"name": "resemble_api_search", "arguments": { "query": "voice" } }
Your assistant uses these tools automatically when you ask it to build features. For example, "build me a TTS streaming service" triggers resemble_docs_lookup for the text-to-speech topic, and may use resemble_api_endpoint to get exact request schemas for accurate implementation.
resemble-mcp/
├── server.py # MCP server implementation ├── docs/ │ └── pages/ # MDX documentation files │ ├── getting-started/ # Auth, quickstart, basics │ ├── voice-generation/ # TTS, STT, S2S │ ├── voice-creation/ # Voice cloning, recordings │ ├── agents/ # AI agents │ ├── detect/ # Deepfake detection │ └── guides/ # Step-by-step tutorials └── openapi/ └── openapi.yml # OpenAPI 3.0 specification
Works with any client implementing the Model Context Protocol:
The server uses stdio transport (reads from stdin, writes to stdout) as per MCP specification.
# Run server directly (for testing/debugging)
python server.py
Architecture:
server.pydocs/pages/ (MDX files)openapi/openapi.yml (OpenAPI 3.0)TOPICS dictServer not loading:
mcp package is installed: pip show mcpTools not appearing:
python server.pySearch returns no results:
resemble_docs_lookup with topic ID for guaranteed resultsresemble_list_topicsMIT License - see LICENSE for details.