In 3 steps, your favorite AI can search, read and summarize your transcribed voice notes. Works in Claude, ChatGPT, Claude Code, Cursor, and any MCP-compatible tool.
Pick where you work and paste what we give you. It takes under a minute.
https://mcp.audiomap.ai
The editor adds the server and asks you to sign in to AudioMap the first time. No keys to copy.
Paste this into your assistant (Claude, ChatGPT, Gemini…): it reads the address and walks you through your client.
https://mcp.audiomap.ai Install this as an MCP connector and tell me the exact steps for my AI client.From trying it without signing up to full access with your personal library.
Try AudioMap MCP without an account. Demo dataset, rate-limited.
https://mcp.audiomap.ai/demoYour own notes library. Full read, write within plan credits.
Generous credits, REST API and processing priority.
Create a persistent API key at /dashboard/api-keys (recommended) or a session token at /dashboard/mcp.
Copy the generated "connection prompt" for your AI. Works in Claude, ChatGPT, Claude Code and more.
Paste it into your AI. It configures itself and shows you what to ask.
Specific instructions for each AI
Recommended command (whole machine)
claude mcp add --transport http -s user audiomap https://mcp.audiomap.ai --header "Authorization: Bearer <YOUR_TOKEN>"
Alternative: .mcp.json in the project
{
"mcpServers": {
"audiomap": {
"type": "http",
"url": "https://mcp.audiomap.ai",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}Paths:
~/Library/Application Support/Claude/claude_desktop_config.json.cursor/mcp.json.vscode/mcp.json.mcp.json (or use claude mcp add){
"mcpServers": {
"audiomap": {
"type": "http",
"url": "https://mcp.audiomap.ai",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}Claude Desktop, Cursor, LM Studio and Open WebUI (Ollama) talk to AudioMap through the same MCP server.
With this your AI can ask AudioMap to import a YouTube video or a podcast and analyze it: the import_from_url tool (replaces upload_audio_url) accepts YouTube, podcast RSS, Apple Podcasts and direct audio or video URLs.
~/Library/Application Support/Claude/claude_desktop_config.json+Open Claude Desktop, Settings, Developer, Edit Config, and paste the block. Claude Desktop launches servers by command, so the mcp-remote bridge translates to HTTP (requires Node.js). Restart Claude Desktop.
{
"mcpServers": {
"audiomap": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.audiomap.ai",
"--header",
"Authorization: Bearer <YOUR_TOKEN>"
]
}
}
}.cursor/mcp.json+Create .cursor/mcp.json in your project (or ~/.cursor/mcp.json for all projects) with this content. In Cursor, Settings, MCP, the audiomap server shows up green.
{
"mcpServers": {
"audiomap": {
"type": "http",
"url": "https://mcp.audiomap.ai",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}mcp.json+In LM Studio open the Program tab (plug icon), click Install, Edit mcp.json and paste the block. Use a model with tool calling (Qwen, Llama 3.1 or similar) so it can call the tools.
{
"mcpServers": {
"audiomap": {
"type": "http",
"url": "https://mcp.audiomap.ai",
"headers": {
"Authorization": "Bearer <YOUR_TOKEN>"
}
}
}
}In Open WebUI go to Admin Panel, Settings, External Tools, Add; choose the MCP (Streamable HTTP) type, paste the server URL and under Auth pick Bearer with your API key. Ollama provides the model; enable the tool in the chat.
URL: https://mcp.audiomap.ai Auth: Bearer Header: Authorization: Bearer <YOUR_TOKEN>
Example: import and analyze from your AI
Import https://www.youtube.com/watch?v=... with import_from_url, wait until it finishes and give me a summary with the decisions and the tasks.
14 tools total. Read tools are free; write tools consume credits.
search_notesSearch notes by text (title, description, transcript).
list_recent_notesLast N notes with metadata.
get_noteFull note: transcript + AI summary + highlights.
get_transcript_segmentsSegments with timestamps and speakers.
get_transcript_translationTranscript translated into another language, per segment and cached.
list_foldersFolders with note count.
list_highlightsHighlighted fragments of a note.
get_outlineAuto-generated chapters with timestamps.
import_from_urlImport from a link: YouTube, podcast RSS, Apple Podcasts or direct URL. 50 credits/min.
wait_for_transcriptionPolling with timeout until status ready.
generate_ai_notesTemplates: meeting, sales, legal, medical… 100 cred.
generate_outlineOutline/chapters with AI. 50 cred.
replace_in_transcriptLiteral search & replace over the transcript. Free.
suggest_speaker_namesSuggests the real name of each speaker from what is said, the title and the channel. Free.
rename_speakerNames a speaker or confirms the suggested name. Free.
list_voice_profilesLists your voice profiles and whether voice recognition is on. Read-only. Free.
founder_statusDescribes whether your account is a founder one and how its commitment is going. Read-only. Free.
ask_noteAsk about a note (RAG + timestamps). 10 cred.
extract_clipExtract MP3 clip from a range. 1h presigned URL. 5 cred.
Full descriptions and annotations: https://mcp.audiomap.ai/mcp/info
Generate your personalized connection prompt in one click. Your AI does the rest.