One connection to Google Workspace and more. Claude moves the work between them.

What DataToRAG does that Claude’s built-in connectors do not
CapabilityBuilt-inDataToRAG
Sheets
Query a sheet with a filterNoYes
Two Google accounts in one requestNoYes
Both: read · create · update cells · append rows · tabs · clear · formatYesYes
Gmail attachments
Save an email or an attachment to DriveNoYes
Save an email or an attachment to your computerNoYes
JiraJira, attach an email or one of its attachments to an issueNoYes
Both: read and search · drafts · send · reply · forward · labels and archive · label threads · delete drafts · trash · spamYesYes
Slides
Put content in itNoYes
Both: create a deck · read a deckYesYes
Calendar
Free/busy lookupNoYes
Both: read and list · create, update, delete · RSVP · suggest a time · search · list calendarsYesYes
Beyond Google
Google ContactsNoYes
Google TasksNoYes
Work and personal account at the same timeNoYes
Both: Jira basics · Confluence basics · worklogs and links · comment threadsYesYes
Checked by hand on 15 October 2026, Google Slides on 9 October 2026. See every capability we tested

132 tools across Google Workspace and Atlassian behind one URL, in Claude, Claude Code, Cursor or your own app.

Google-verified since June 2026 · CASA Tier 2 assessed · Open source, self-host it if you prefer

Google-verified app · CASA Tier 2 security approved (June 2026)Read more

Watch the agent do the work.

No install, no config file, nothing to paste. Connect your Google account and ask.

You wanted the rows in the sheet you already keep, not pasted in by hand.

DataToRAG changes the rows in that same file, after asking you first.

A scripted replay with sample data. This is the real Agent UI, approval gate included.

Claude's Drive connector can make you a deck, but it arrives empty. One slide, and the title is yours to type.

DataToRAG writes into the deck you already have, after asking you first.

A scripted replay with sample data. This is the real Agent UI, approval gate included.

You wanted the email sent, not a draft left for you to finish.

DataToRAG sends it from the account you name, once you approve.

A scripted replay with sample data. This is the real Agent UI, approval gate included.

Claude's Atlassian connector cannot attach a file to a Jira issue.

DataToRAG puts the email and its PDF on the issue, once you approve.

A scripted replay with sample data. This is the real Agent UI, approval gate included.

Claude's Gmail connector is signed in to one account, so the other inbox isn't there to search.

DataToRAG searches your work and personal accounts in the same turn.

Gmail · two accounts

A scripted replay with sample data. This is the real Agent UI, approval gate included.

Try it on your own files.

Free, and the first forty runs a month are on us.

Prefer to work in Claude or ChatGPT? Take the config and go. Same tools either way.

Full comparison

What each one can actually do

Claude’s built-in connectors cover a lot, including reading, writing and editing in Docs and Sheets. The rows below show where each one stops. What they still cannot do: filtered sheet queries, two accounts in one request, Slides content, saving mail and attachments to Drive or your computer, free/busy, Contacts and Tasks, and filing an email on a Jira issue.

Everything below was checked by hand against both products on 15 October 2026, except Google Slides, last checked on 9 October 2026. That check moved most of the Sheets rows and the Docs edit row to the built-in connectors: Claude has Google Docs and Sheets connectors of its own since October 2026, in beta, and they edit files in place. Querying a sheet and working two Google accounts in one request stay ours.

CapabilityBuilt-inDataToRAG
Google Sheets
Read a sheetYesYes
Create a new sheetYesYes
Update a cellYesYes
Append a rowYesYes
Add, rename or delete a tabYesYes
Clear a rangeYesYes
Query a sheet with a filterNoYes
Format cells and tablesYesYes
Two Google accounts in one requestNoYes
Google Sheets has its own connector since October 2026, in beta on claude.ai, on the Sheets API: values in and out, formulas, clearing, inserting rows and columns, and the full batch update for tabs, formatting and charts. It reads one range per call and has no query language. Enumerated 15 October 2026.
Google Docs
Read a docYesYes
Create a new docYesYes
Edit an existing docYesYes
Delete or trash a docYesYes
Google Docs has its own connector since October 2026, in beta on claude.ai: one read and one batch update that inserts, deletes, replaces, styles, and can write as tracked suggestions. Enumerated 15 October 2026.
Google Slides
Create a deckYesYes
Put content in itNoYes
Read an existing deckYesYes
The built-in connector does make a real Google Slides deck. It just arrives with one blank slide, an empty title and an empty subtitle, because a Google-native deck with content is refused. You get the container and you fill it in yourself. The connector will convert a .pptx you upload, if you have the file. Anthropic announced a Slides editing connector in beta on 6 October 2026, alongside the Docs and Sheets ones. We had not enumerated it by 15 October 2026, so these rows are as we verified them on 9 October 2026. We will re-test and correct this when we have.
Gmail
Read and search mailYesYes
Write a draftYesYes
Send itYesYes
Reply in threadYesYes
ForwardYesYes
Label, star, mark read, archive a messageYesYes
Label or unlabel a whole thread at onceYesYes
Delete a draftYesYes
Trash a message or threadYesYes
Mark as spamYesYes
Save an email or an attachment to DriveNoYes
Save an email or an attachment to your computerNoYes
The built-in connector sends, replies and forwards. It gained those verbs in August 2026, and this table claimed otherwise until 18 September 2026: if you read the older version of this row anywhere, including here, it was wrong. It also deletes a draft, which this table denied until 9 October 2026. Both connectors now label a whole thread in one call, move a message or a whole thread to the trash and back, and mark a message as spam and take it back out. And it gained full label management earlier in 2026, so it can label, star, mark read and archive. Its tool list, enumerated 15 October 2026, has no download to disk. What is left on our side is saving an email or an attachment straight to Drive or to your computer.
Google Calendar
Read and list eventsYesYes
Create, update, delete an eventYesYes
Rich event creation: recurrence, rooms, attachments, remindersYesNo
RSVP to an invitationYesYes
Suggest a meeting timeYesYes
Search events by keywordYesYes
List your other calendarsYesYes
Free/busy lookupNoYes

On a single account, the built-in connector still creates richer events: recurring events, room booking, attachments, and custom reminders, where ours creates plain events. Both of us answer invitations, suggest meeting times and list the other calendars on the account.

What we add is span: both your calendars reachable in one request, without either account having to share anything with the other. Free/busy runs one lookup per account and the assistant combines them.

One honest caveat: the built-in connector sees every calendar the connected account can see. If you already share your personal calendar with your work account, that covers the cross-account case for you. Our advantage is for calendars you'd rather not share.

Google Drive
Search filesYesYes
Read file contentYesYes
Download a file to your computerYesYes
File metadataYesYes
Sharing permissionsYesYes
Share a file with someoneYesYes
Recently-opened filesYesYes
Move a file to another folderYesYes
Copy a fileYesYes
Rename a fileYesYes
Create a folderYesYes
Both connectors download a file. Ours hands you a single-use link with a checksum, or files the Drive file on a Jira issue; the built-in connector returns the content into the conversation. The rest of this group both of us do too: we read a file's metadata and move a file between folders since 16 October 2026, which this table denied until then, and we share a file, read who it is shared with and list recent files too. Our advantage was never Drive breadth. It is what we do with a file across services and accounts: an email's attachment onto a Jira issue or into Drive, and two Google accounts in one request.
Beyond Google
Google ContactsNoYes
Google TasksNoYes
Jira, read, create, comment, transitionYesYes
Confluence, read, create, edit pagesYesYes
Jira, log work and link issuesYesYes
Confluence, comment threads and inline commentsYesYes
Jira, attach an email or one of its attachments to an issueNoYes
Claude has an Atlassian connector of its own, and for reading, creating, commenting and moving an issue through its workflow it does what ours does. Both of us log work, link issues, and reply in Confluence comment threads, inline comments included. This table said otherwise until 9 October 2026. Where it stops is files: it has no tool that takes one, so an email, or a PDF inside it, cannot be put on an issue. Contacts and Tasks have no built-in connector at all.
The one that changes how you work
Work and personal account at the same timeNoYes
The built-in connectors handle one Google account. If you live in a work inbox and a personal one, you disconnect and reconnect to switch. Every DataToRAG tool takes an account, so checking both inboxes is one request.

If you mostly read, the built-in connectors are free and they’re good, so use them. The moment you need Claude to change something that already exists, or to work across more than one account, that is where we start.

The platform

Four ways to connect your data

Whether you want to plug in yourself, use a pre-built connector, need a custom integration, or run your own models, DataToRAG has you covered.

Self-Serve Gateway

Sign up, connect your data sources, and start querying through Claude or any MCP client. No engineering required.

Pre-Built Connectors

One connection for Google Workspace, Jira and Confluence. We handle the auth and schema mapping.

Custom MCP Servers

Our engineering team builds custom MCP servers for your proprietary databases, internal APIs, and legacy systems.

Custom Hosted LLMs

We deploy and host cost-saving custom models on our secure infrastructure without sacrificing quality. Wire directly into the gateway, so your data and inference never go to Claude or OpenAI.

Integrations

Pre-built MCP connectors

132 tools, ready to use through the Model Context Protocol. Every integration works from one endpoint. Connect once, use them all. More added every week.

Multi-account support

Connect personal, shared, and team Google accounts under one MCP endpoint. Claude can search across all of them in a single prompt, or target a specific account when you need to.

Optimized tools

Naive API wrappers dump everything into your context. DataToRAG tools are tuned for token efficiency, so the same Gmail thread read costs a fraction of the tokens, which means longer conversations and smarter agents.

Coming soon

Notion

Custom deployment

Custom Hosted LLMs

Cut token usage costs while keeping the same efficiency? Try our custom hosted LLMs. We can assist in finding the right cost effective model for your workload.

Secure LLMs For Your Most Sensitive Data

Inference runs on our secure infrastructure. Nothing is sent to a third-party model API. A perfect fit for regulated industries and sensitive internal data.

Managed Infrastructure

We handle deployment and ops for the model of your choice: GLM, Gemma, DeepSeek, Qwen, and other families. Connect it to your MCP gateway or access it with API Keys.

Cost Savings

Custom hosted models cut per-token costs versus commercial APIs. Scale usage and experience real cost savings without compromising on quality.

Integration Services

We build the bridge
to your data.

Not every data source has a pre-built connector. Our engineering team works directly with your infrastructure to build custom MCP servers that give your AI assistants access to proprietary systems: databases, internal APIs, ERP platforms, data warehouses, and more.

Contact Us
1

Discovery

We audit your data landscape and identify which systems to connect.

2

Build

Custom MCP server development, tested against your schemas and APIs.

3

Deploy

Managed infrastructure or on-prem, hosted alongside your data.

4

Support

Ongoing maintenance, monitoring, and schema evolution as your systems change.

For developers

One line to connect.

Add the DataToRAG gateway to any MCP-compatible client: Claude Desktop, Cursor, Windsurf, or your own application. OAuth sign-in handles the rest.

{
  "mcpServers": {
    "datatorag": {
      "url": "https://datatorag.com/mcp"
    }
  }
}

FAQ

Questions people ask first

Can my AI assistant actually edit my files, or only read them? #

Edit them, and move them. Claude's own Google connectors read and create files, and since October 2026 its Docs and Sheets connectors, in beta on claude.ai, edit them in place too. Where they stop is the edge of one service on one account. Nothing built in takes an attachment out of an email and puts it on a Jira issue, into Drive or onto your computer with a checksum you can verify. Nothing built in works two Google accounts in one request, or runs a query over a sheet, or gives Claude Code, Cursor or your own application the same tools. DataToRAG does those, with your approval on every write. Verified by enumerating each connector's tool surface on 15 October 2026, and Slides on 9 October 2026.

Which AI clients can connect to it? #

Any client that speaks MCP. Claude Desktop, Cursor, Windsurf and your own application all connect the same way, with one URL covering every service you have connected and OAuth sign-in handling the rest. The gateway is hosted, so the same connection works from another machine without setting anything up again.

What does DataToRAG connect to? #

Google Workspace and Atlassian. Gmail, Drive, Docs, Sheets, Slides, Calendar, Contacts and Tasks, plus Jira and Confluence, all behind one endpoint: connect once and every tool is available to your assistant rather than one integration at a time. The docs list every action per service.

What stops it doing something I did not want? #

An approval step in front of every write. Reads flow, and anything that changes your data is shown to you and waits. The gate fails closed, so a tool DataToRAG does not positively recognise as a read is treated as a write and asks first, and there is no shell or arbitrary code execution anywhere in the gateway for a prompt injection to reach.

Is it safe to connect a hosted gateway to my Google account? #

It is the right question to ask of anything asking for Workspace access. DataToRAG has been Google-verified since June 2026 and passed the CASA Tier 2 security assessment that the restricted Workspace scopes require, so you will not see an unverified app warning when you connect. The gateway is also open source: you can read exactly what it does, and run it yourself instead. Here is what the verification involved.

What does it cost to start? #

Nothing, and no card. The free tier includes 250 tool calls and 40 agent runs a month with every connector available, and paid plans buy a bigger allowance rather than unlocking features. Pricing has the current numbers.

More of them on the FAQ page.

Ready to make your data AI-ready?

Start with the self-serve gateway or talk to our team about a custom integration for your company.