EarScribe MCP
Exposes EarScribe's local-first transcription workflow to Claude and other MCP clients through three resources (local setup guide, FAQ, official links) and two tools (get_local_setup, get_official_links). The server surfaces canonical documentation for running OpenAI Whisper entirely in-browser via WebGPU or WebAssembly, so you can answer questions about privacy-focused transcription without hunting through the website. Useful when you're fielding support questions about on-device AI workflows or need to walk someone through EarScribe's offline model caching and export formats. Read-only, no API keys required, sub-50ms cold start. Runs over stdio and works with Claude Desktop, Cursor, Windsurf, and Continue out of the box.
- tools
- 2
- last updated
- May 22, 2026
Tools
2 toolsPublic tool metadata for what this MCP can expose to an agent.
get_local_setupReturn canonical local-setup guidance for running the AI workflow on-device.
Return canonical local-setup guidance for running the AI workflow on-device.
No parameter schema in public metadata yet.
get_official_linksReturn the canonical list of official links for EarScribe (website, support, docs when available).
Return the canonical list of official links for EarScribe (website, support, docs when available).
No parameter schema in public metadata yet.
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EarScribe MCP Server
MCP server for EarScribe
A Model Context Protocol server that exposes the canonical EarScribe knowledge surface — local-first AI workflows, FAQ, official links — to MCP-compatible AI clients such as Claude Desktop, Cursor, Windsurf, and Continue. Read-only, no API keys, no quota, ~50 ms cold start.
Official website: https://earscribe.app
🖥️ About EarScribe
Details
- Repository
- github.com/rocnubie/earscribe-mcp
- Website
- earscribe.app
- Categories
- Web & Browser Automation, AI & LLM Tools, Media & Entertainment
- Registry
- MCP registry, active
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