Server data from the Official MCP Registry
Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.
Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.
Remote endpoints: streamable-http: https://mcp.resemble.ai/mcp sse: https://mcp.resemble.ai/sse
This MCP server provides documentation access and API execution for Resemble AI. The docs server (server.py) is well-structured with appropriate input validation and no sensitive data exposure. However, the action_server.py component has a critical incomplete implementation (file truncated mid-function), missing API key validation logic, and exposes potentially dangerous operations (deepfake detection, media analysis) without complete security controls. The truncation prevents full assessment, but visible patterns suggest incomplete error handling and auth bypass risks. Supply chain analysis found 4 known vulnerabilities in dependencies (0 critical, 2 high severity).
4 files analyzed · 13 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
This plugin requests these system permissions. Most are normal for its category.
Available as Local & Remote
This plugin can run on your machine or connect to a hosted endpoint. during install.
From the project's GitHub README.
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
# Create virtual environment
python3 -m venv venv
source venv/bin/activate # Windows: venv\Scripts\activate
# Install dependencies
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.
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