One secure MCP connection

Your AI, connected to the apps and data you actually use.

Connect personal, family, and work accounts to ChatGPT, Claude, or any MCP-compatible assistant. Then ask normally.

Connect Toolforest See how it works

Find my October Japan bookings across all connected Gmail accounts and build me an itinerary in Google Sheets.

Thinking about reconstructing a chronological Japan trip itinerary from emails

森List toolkit tools

森Get tool schemas

森Execute tool

Excavated labeled emails and retrieved their complete content

All 13 emails retrieved. Now let me get the Google Sheets tools and build the itinerary.

森Get tool schemas

森Execute tool

Orchestrated comprehensive Japan itinerary with unresolved bookings flagged

Spreadsheet created. Now populating both tabs.

森Execute tool

Used Toolforest integration

Done. The itinerary is here:

I searched all three connected accounts. The label turned up 13 emails: 5 in Family, 8 in Personal, none in Work. Two were promos (Hyatt 15% off, Delta 2x miles) and were excluded from the itinerary.

The trip, Oct 5–15:

Oct 5 — DL 167 SEA → HND, arriving Oct 6 at 3:50 PM
Oct 6–8 — Palace Hotel Tokyo, Deluxe King Palace Garden view
Oct 8 — Hakutaka 561 to Kanazawa, then Hyatt Centric for 2 nights
Oct 10 — Tsurugi 12 + Thunderbird 22 to Kyoto, Shirafuji-an machiya for 4 nights
Oct 12 — Gion Mizuki dinner at 7 PM — waitlist only, position 3
Oct 14 — Nozomi 224 back to Tokyo (2:13 PM → 4:24 PM)
Oct 15 — DL 166 HND → SEA

The big one on the Unresolved tab: your Park Hyatt Tokyo booking for the night of Oct 14–15 was cancelled on Aug 2 and nothing replaced it, so you currently have no bed in Tokyo the last night.

Want me to look at Tokyo hotel options for that Oct 14 gap night?

Japan Trip — October 2026 – Sheets

docs.google.com/spreadsheets/d/japan-trip-october-2026

Japan Trip — October 2026

Date	Plan	Details	Conf. / Source
Oct 05	SEA → HND	Delta DL 167	HKR4TX · Personal
Oct 06	Tokyo	Palace Hotel, 2 nights	PHT-88214 · Family
Oct 08	→ Kanazawa	Hakutaka 561 · Hyatt Centric, 2 nights	Personal / Family
Oct 10	→ Kyoto	SmartEX · Shirafuji-an, 4 nights	Personal / Family
Oct 14	→ Tokyo	Nozomi 224, arr 4:24 PM	SE-90331201 · Personal
Oct 14	Tokyo	No hotel booked	→ Unresolved
Oct 15	HND → SEA	Delta DL 166, dep 4:35 PM	HKR4TX · Personal

Date	Item	Status	Next step
Oct 12	Gion Mizuki dinner	Waitlist, position 3	Check before Oct 10
Oct 14	Tokyo hotel	Park Hyatt cancelled Aug 2	Book 1 night

One prompt. Three accounts. Two toolkits. One usable plan.

OAuth connections Encrypted credentials Multiple accounts No permanent storage of tool data Revoke access at any time

Simple by design

How it works

Connect Toolforest

Use one secure MCP connection with your AI assistant.

Choose toolkits and accounts

Connect the services and accounts that matter for the task.

Ask your assistant normally

Move from a question to useful work without switching tools yourself.

More than API wrappers

Useful context, not just raw operations

APIs expose operations. Toolforest toolkits add the calculations, validation, and presentation an assistant needs to turn them into useful results.

Wearable data

Raw readings→ sleep and recovery trends, calculated metrics, and charts

Earth observation

Raw scenes→ aligned imagery and verified comparisons

Prediction markets

Raw market listings→ fuzzy market search and hourly, daily, and monthly movers

Start with an outcome

What would you like your assistant to do?

Browse examples

Gmail

Summarize every inbox at once

Search every connected Gmail account and pull urgent messages and deadlines to the front.

“Summarize the most recent emails across all my connected Gmail accounts and flag anything that needs action soon.”

See an example

Ōura Ring

Decide whether to train hard today

Read readiness, resting heart rate, temperature, breathing, and sleep against your baseline.

“According to my Oura data, am I recovered enough to train hard today?”

See an example

Google Earth Engine

Explore places, past and present

Compare a place across the long record, then ask what explains the change.

“What changed here between 1985 and today?”

See an example

Kalshi

Analyze prediction markets

Trace a price move back to the event, news, or liquidity behind it.

“What moved this market, and when?”

See an example

MusicBrainz

Discover music and artists

Start from an artist and follow the credits, collaborators, and related projects.

“Map the collaborators around this artist.”

See an example

Anki

Study and remember things

Turn an article into concise flashcards that test one idea at a time.

“Turn this article into clean flashcards in a new Anki deck.”

See an example

Composability in practice

From market data to a chart

Prediction market data goes into Google Sheets. Sheets builds the chart. Another tool exports it as an image, and the widget renders it in the conversation.

Browse all toolkits

01 · Query