Voice-first planning — notes, tasks, events and AI reports. 21 tools. iOS + Apple Watch.
{
"mcpServers": {
"io-github-exp78-telldone": {
"command": "<see-readme>",
"args": []
}
}
}No install config available. Check the server's README for setup instructions.
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Voice-first planning — notes, tasks, events and AI reports. 21 tools. iOS + Apple Watch.
Is it safe?
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Transport: stdio. Works with Claude Desktop, Cursor, Claude Code, and most MCP clients.
No automated test available for this server. Check the GitHub README for setup instructions.
No known vulnerabilities.
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Connect your TellDone voice notes, tasks, events, and reports to AI tools like Claude Code, Cursor, Windsurf, Codex, and any MCP-compatible client.
TellDone is a voice-first planning app. Dictate your thoughts, and AI automatically creates structured notes, tasks, events, and daily productivity reports.
Voice recording is available on iOS and Apple Watch. Android coming soon. You can also send text through MCP using process_note for the same AI analysis pipeline.
Use promo code
MCPBETA26after signup to get free MCP access (read & write for 30 days, then read-only for a year).
Sign up at app.telldone.app, then go to Settings > AI Agents (MCP) and click Enable.
Claude Code
claude mcp add telldone --transport http \
https://api.telldone.app/mcp/user/mcp \
--header "Authorization: Bearer YOUR_TOKEN"
Cursor .cursor/mcp.json
{
"mcpServers": {
"telldone": {
"url": "https://api.telldone.app/mcp/user/mcp",
"headers": { "Authorization": "Bearer YOUR_TOKEN" }
}
}
}
Windsurf .codeium/windsurf/mcp_config.json
{
"mcpServers": {
"telldone": {
"serverUrl": "https://api.telldone.app/mcp/user/mcp",
"headers": { "Authorization": "Bearer YOUR_TOKEN" }
}
}
}
Codex codex.json
{
"mcpServers": {
"telldone": {
"type": "http",
"url": "https://api.telldone.app/mcp/user/mcp",
"headers": { "Authorization": "Bearer YOUR_TOKEN" }
}
}
}
OpenClaw
Settings > MCP Servers > Add > Name: TellDone, URL: https://api.telldone.app/mcp/user/mcp, Auth: Bearer YOUR_TOKEN
Ask your AI tool things like:
| Tool | Description |
|---|---|
get_profile | User profile, subscription, and usage stats |
get_notes | List notes with date, tag, and text filters |
get_note | Single note with linked tasks and events |
get_notes_full | Bulk notes with embedded children |
get_tasks | List tasks (todo/done/all) with filters |
get_events | List calendar events with date range |
get_reports | Daily, weekly, monthly, yearly AI reports |
get_tags | User tags sorted by usage |
search | Hybrid text + semantic search across all data |
| Tool | Description |
|---|---|
process_note | Full pipeline: send text or audio, get AI-analyzed note + tasks + events |
create_note | Quick plain text note (no AI analysis) |
create_task | Task with priority, deadline, reminder, tags |
create_event | Event with reminders, attendees, recurrence |
update_note | Update title, summary, type, tags, priority, status |
update_task | Update any field, mark done/todo, change tags |
update_event | Reschedule, change status, add attendees |
complete_task | Quick mark-as-done shortcut |
delete_note | Soft-delete note (cascades to linked tasks and events) |
delete_task | Soft-delete task |
delete_event | Soft-delete event |
All write tools sync in real-time to connected mobile and web clients via WebSocket.
process_noteThe process_note tool runs the same pipeline as recording in the mobile app:
Text or Audio --> STT (if audio) --> LLM Analysis --> Note + Tasks + Events + Tags
Text mode (skip STT):
{"name": "process_note", "arguments": {"text": "Need to buy groceries. Meetin
... [View full README on GitHub](https://github.com/exp78/telldone-mcp#readme)