Resemble AI: deepfake detection, media intelligence, and watermarking actions, plus docs tools.
Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β or use 1-click editor setup below.
π‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.
Inspect callable tools, capabilities, and parameters exposed to AI agents by Resemble AI.
resemble_docs_lookupReturns aggregated documentation for a topic. Accepts topic ID and returns all related pages concatenated.
resemble_searchFull-text search across all documentation pages. Returns matching pages with snippets.
resemble_get_pageRetrieves a specific documentation page by path.
resemble_list_topicsLists all available topic IDs with descriptions.
resemble_api_endpointGet detailed OpenAPI specification for a specific API endpoint. Returns exact request/response schemas, parameters, and types.
resemble_api_searchSearch the OpenAPI spec for endpoints matching a query.
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 applicationsβyour assistant has instant access to guides, tutorials, and exact API schemas for accurate code generation.
Cursor: Add to ~/.cursor/mcp.json:
Claude Code / Claude Desktop: Add to ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or equivalent location for your OS:
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:
Searching for streaming implementation:
Getting exact API schema for implementation:
Finding all voice-related API endpoints:
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.
Works with any client implementing the Model Context Protocol:
The server uses stdio transport (reads from stdin, writes to stdout) as per MCP specification.
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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