TellDone MCP Server

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 MCPBETA26 after signup to get free MCP access (read & write for 30 days, then read-only for a year).

Quick Start

1. Get Your Token

Sign up at app.telldone.app, then go to Settings > AI Agents (MCP) and click Enable.

2. Connect

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

3. Start Using

Ask your AI tool things like:

• "What did I work on today?"
• "Create a task: review quarterly report, high priority, deadline Friday"
• "Find all notes about the marketing strategy"
• "Mark the Figma task as done"
• "Create an event: team standup tomorrow at 10am, remind me 15 min before"
• "Process this meeting summary and extract tasks"
• "What events do I have next week?"
• "Show me my daily report from yesterday"

Tools (21)

Read Tools (10)

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

Write Tools (11)

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.

Full Pipeline: process_note

The 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. Meeting with Katie at 3pm."}}

Audio mode (base64-encoded):

{"name": "process_note", "arguments": {"audio_base64": "...", "audio_format": "m4a"}}

Returns immediately with audio_id. Results arrive via WebSocket or poll with get_notes().

Examples

examples/test-connection.sh

#!/bin/bash
# Test your TellDone MCP connection
TOKEN="${1:?Usage: ./test-connection.sh YOUR_TOKEN}"
URL="https://api.telldone.app/mcp/user/mcp"

echo "=== Testing connection ==="
curl -s -X POST "$URL" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","id":1,"method":"tools/call","params":{"name":"get_profile"}}' \
  | python3 -m json.tool

echo ""
echo "=== Listing tools ==="
curl -s -X POST "$URL" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d '{"jsonrpc":"2.0","id":2,"method":"tools/list"}' \
  | python3 -c "import sys,json; tools=json.load(sys.stdin).get('result',{}).get('tools',[]); print(f'{len(tools)} tools available'); [print(f'  {t[\"name\"]}') for t in tools]"

examples/daily-summary.sh

#!/bin/bash
# Get today's tasks and notes summary
TOKEN="${1:?Usage: ./daily-summary.sh YOUR_TOKEN}"
URL="https://api.telldone.app/mcp/user/mcp"
TODAY=$(date +%Y-%m-%d)

call() {
  curl -s -X POST "$URL" \
    -H "Authorization: Bearer $TOKEN" \
    -H "Content-Type: application/json" \
    -H "Accept: application/json" \
    -d "$1"
}

echo "=== Today's Notes ($TODAY) ==="
call "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"get_notes\",\"arguments\":{\"date_from\":\"$TODAY\",\"limit\":20}}}" \
  | python3 -c "
import sys, json
r = json.loads(json.load(sys.stdin)['result']['content'][0]['text'])
for n in r: print(f'  [{n[\"type\"]}] {n[\"title\"]}')" 2>/dev/null

echo ""
echo "=== Active Tasks ==="
call '{"jsonrpc":"2.0","id":2,"method":"tools/call","params":{"name":"get_tasks","arguments":{"status":"todo","limit":10}}}' \
  | python3 -c "
import sys, json
r = json.loads(json.load(sys.stdin)['result']['content'][0]['text'])
for t in r: print(f'  [{t[\"priority\"]}] {t[\"title\"]}')" 2>/dev/null

echo ""
echo "=== Upcoming Events ==="
call "{\"jsonrpc\":\"2.0\",\"id\":3,\"method\":\"tools/call\",\"params\":{\"name\":\"get_events\",\"arguments\":{\"date_from\":\"$TODAY\",\"limit\":5}}}" \
  | python3 -c "
import sys, json
r = json.loads(json.load(sys.stdin)['result']['content'][0]['text'])
for e in r: print(f'  {e[\"start_at\"][:16]} {e[\"title\"]}')" 2>/dev/null

examples/create-task.sh

#!/bin/bash
# Create a task via MCP
TOKEN="${1:?Usage: ./create-task.sh YOUR_TOKEN}"
TITLE="${2:?Usage: ./create-task.sh YOUR_TOKEN 'Task title'}"
PRIORITY="${3:-medium}"

curl -s -X POST "https://api.telldone.app/mcp/user/mcp" \
  -H "Authorization: Bearer $TOKEN" \
  -H "Content-Type: application/json" \
  -H "Accept: application/json" \
  -d "{\"jsonrpc\":\"2.0\",\"id\":1,\"method\":\"tools/call\",\"params\":{\"name\":\"create_task\",\"arguments\":{\"title\":\"$TITLE\",\"priority\":\"$PRIORITY\"}}}" \
  | python3 -m json.tool

Plans and Access

Plan	MCP Access	Read	Write	Price
Free	--	--	--	$0
Basic	--	--	--	$4.99/mo
Pro	Read & Write	10 tools	11 tools	$11.99/mo
Ultra	Read & Write	10 tools	11 tools	$24.99/mo

Pro and Ultra have the same MCP tools. Ultra has higher quotas (unlimited notes, 1500 STT min/mo, 300 uploads/day).

Authentication

Every request requires a Bearer token in the Authorization header. Tokens are generated in the web app settings.

• Regenerate: Settings > AI Agents > Regenerate (old token revoked instantly)
• Disable: Settings > AI Agents > Disable (token deleted)
• Rate limit: 5 requests/second

Transport

MCP Streamable HTTP (stateless). Each request is independent.

POST https://api.telldone.app/mcp/user/mcp
Authorization: Bearer <token>
Content-Type: application/json
Accept: application/json

Links

• App: app.telldone.app
• Website: telldone.app
• Docs: docs.telldone.app
• iOS App: App Store