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TellDone MCP Server

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TellDone MCP Server - connect your voice notes, tasks, events and reports to AI tools

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" }
    }
  }
}

OpenClawSettings > 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

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