MCP gateway for Google Workspace and Jira

Claude reads your spreadsheet. We let it edit one.

Append the rows, send the email, update the ticket. 91 tools across Google Workspace, Jira and Confluence behind one URL, and every write asks you first.

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

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Built-in connectorDataToRAG
Read a fileYesYes
Edit an existing sheetNoYes
Create a deckYesYes
Put content in itNoYes
Work across two Google accountsNoYes
See every capability we tested
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.

Claude reads the sheet you already keep, then hands you rows to paste in yourself.

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 are good, and for a lot of people they’re enough. We’d rather you knew exactly where they stop than found out halfway through a task.

Everything below was checked by hand against both products on 9 October 2026. That check moved several rows toward the built-in connectors: deleting a draft, trashing a doc, creating a folder, and Jira and Confluence, where this table had left out Claude’s Atlassian connector. One moved toward us: we copy Drive files now. The rows on querying and formatting sheets, trashing mail, sharing, renaming and moving files, and Jira attachments are new.

CapabilityBuilt-inDataToRAG
Google Sheets
Read a sheetYesYes
Create a new sheetYesYes
Update a cellNoYes
Append a rowNoYes
Add, rename or delete a tabNoYes
Clear a rangeNoYes
Query a sheet with a filterNoYes
Format cells and tablesNoYes
Spreadsheets have no connector of their own. They come through Drive, and the Drive connector ships no tool that changes a file's content, for any file type. It can rename a file or move it.
Google Docs
Read a docYesYes
Create a new docYesYes
Edit an existing docNoYes
Delete or trash a docYesYes
Asked to fix a typo, the built-in connector reads the document, tells you what is wrong, and creates a new file with the correction. The original is untouched.
Google Slides
Create a deckYesYes
Put content in itNoYes
Read an existing deckYesYes
This one surprised us. 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.
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 onceYesNo
Delete a draftYesYes
Trash a message or threadYesNo
Save an attachment to DriveNoYes
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. It labels a whole thread in one call, where we work a message at a time, so a long thread means one call per message. It moves a message or a whole thread to the trash, and we have no tool for that. And it gained full label management earlier in 2026, so it can label, star, mark read and archive. What is left on our side is one thing: saving an attachment straight to Drive.
Google Calendar
Read and list eventsYesYes
Create, update, delete an eventYesYes
Rich event creation: recurrence, rooms, attachments, remindersYesNo
RSVP to an invitationYesNo
Suggest a meeting timeYesNo
Search events by keywordYesYes
List your other calendarsYesNo
Free/busy lookupNoYes

On a single account, the built-in connector is the better calendar tool, and it isn't close. Its event creation does recurring events, room booking, attachments, and custom reminders, where ours creates plain events. It can RSVP and suggest meeting times, and list the other calendars on the account. Ours can't.

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 file contentYesNo
File metadataYesNo
Sharing permissionsYesNo
Share a file with someoneYesNo
Recently-opened filesYesNo
Move a file to another folderYesNo
Copy a fileYesYes
Rename a fileYesYes
Create a folderYesYes
The built-in Drive connector is more capable than ours, and it is not close. It downloads a file, reads its metadata and who it is shared with, shares it with someone new, lists what you opened recently and moves a file between folders. We do none of those. Our advantage was never Drive breadth. It is that we can change the files Drive gives you access to.
Beyond Google
Google ContactsNoYes
Google TasksNoYes
Jira, read, create, comment, transitionYesYes
Confluence, read, create, edit pagesYesYes
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. 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-click integrations for Google Workspace, Salesforce, Databricks, Slack, and more. 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

91 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

SalesforceDatabricksSlackHubSpotPostgreSQLSnowflakeNotionGitHub

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. Where the built-in connectors stop is one verb past creating a document: through DataToRAG your assistant changes cells in a spreadsheet you already have, writes content into an existing doc, puts slides into a deck that arrived empty, and attaches an email or a file inside it to a Jira issue, with your approval on every one. Those gaps come from enumerating each connector's tool surface on 9 October 2026, and the three way comparison re-enumerated all three surfaces on 24 August 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.