Composio Is for the Developer Shipping an Agent. DataToRAG Is for You.
I went looking for a way to give Claude real access to my Google Workspace, and a couple searches in I landed on Composio. The docs are good, the breadth is honestly impressive. Then I opened the quickstart and it told me to call composio.mcp.generate(user_id, mcp_config_id) from inside an application I'd have to build first.
That's the moment that tells you what Composio is. It's not a thing you sign into. It's a thing you build on.
I don't mean that as a knock. Composio is one of the better-engineered integration platforms aimed at AI agents, and if you're a developer shipping a product that connects your users to hundreds of apps, it deserves a serious look. But "developer shipping a product" is the whole story. If you're the person sitting in Claude who wants your own Gmail, Docs, and Sheets to work, you're not Composio's user. You're Composio's user's user.
SDK versus product
Here's the distinction that matters, and it's easy to miss because both Composio and DataToRAG say the letters "MCP."
Composio gives you the pieces to assemble. You create a server config that bundles the integrations you want, you generate a per-user MCP URL in your application code, you pass an API key, you handle the wiring that connects each of your end users to their accounts. The output is great: a hosted endpoint your product can hand to an agent. But the input is a development project. Someone writes that code, deploys it, and maintains it.
DataToRAG is the assembled thing. You go to the dashboard, you click connect, you sign in with Google, and Claude can now read and write your Workspace. There's no app to build because the app is the product. That's the entire design difference, and I'm pretty sure it decides which tool fits you before you compare a single feature.
If you're a founder building an AI assistant for your customers, Composio's shape is right and DataToRAG's probably isn't. If you're an ops lead, a founder using Claude to actually do work, or an IC who wants two Gmail accounts and a Jira board in one prompt, it's the reverse.
Feature comparison
| Capability | Composio | DataToRAG |
|---|---|---|
| An end user can connect their own account with no code | No. You generate per-user MCP URLs in your app | Yes. Sign in at the dashboard |
| Gmail send, reply, label, search | Yes, and deep | Yes |
| Standalone Slides tools | No standalone Slides toolkit at the time of writing | Yes (slides_*) |
| Standalone Contacts tools | No standalone Contacts toolkit at the time of writing | Yes (contacts_*) |
| Google and Atlassian behind one endpoint | Separate toolkits you wire up yourself | Yes, one endpoint, one sign-in |
| Self-host on an open-source core | Enterprise plans only, closed core | Yes, MIT, Docker Compose |
| Where credentials live on self-serve plans | Composio's cloud | Our database on hosted plans; self-host and they stay in your own Postgres |
| Where your Workspace content lives | Varies by toolkit | Passed through; the gateway stores nothing (privacy) |
| Total integration count | 1,000+ toolkits | 8 Google services + Jira and Confluence, built deep |
| Formal attestations | SOC 2 Type II, ISO 27001 | CASA Tier 2 passed, Google-verified (June 2026) |
A note on that last row, because I want to be straight about it: Composio is ahead of us on general-purpose security attestations. They're SOC 2 Type II and ISO 27001 certified, and we're not there yet. What we did finish is CASA Tier 2, the Google-specific verification for restricted Gmail and Drive scopes. We passed it, and Google verified the app in June 2026; the full story of that review is here. Different credential, different scope. If your bar is SOC 2 and ISO 27001, they've shipped and we haven't. If it's verified Google access, we're both there.
What DataToRAG adds
The two coverage gaps in that table are the ones I'd care about if my work lives in Google Workspace. Composio's catalog is enormous, but at the time of writing it has no standalone Slides toolkit and no standalone Contacts toolkit. DataToRAG ships both, with real write verbs:
slides_create,slides_batch_update: build a deck and edit it in place, not just read it.contacts_search,contacts_create,contacts_update: manage your contacts.gmail_send,gmail_reply,gmail_forward: finish an email workflow instead of stopping at a draft.docs_batch_update,sheets_update,sheets_append: change documents and spreadsheets, cell by cell, in the same conversation.
And the one that's hardest to bolt on later: multi-account. You can connect a work Google account and a personal one and a shared team inbox under a single endpoint, and Claude can target a specific account per call or search across all of them in one prompt. We wrote up how we built multi-account for MCP because it turned out to be the gnarliest part of the whole system. Composio supports multiple accounts per user too, but it's a primitive you expose through your app, not a feature your end user just turns on.
Open source, and where your data sits
Two more differences that don't show up until you care about them, at which point they're the only ones you care about.
The first is the open-source core. DataToRAG is MIT-licensed and built to be self-hosted. If you don't want a vendor in the middle of your Google data, you clone the repo, run it on Docker Compose with your own Postgres, point Claude at your own endpoint, and you're done. Composio's SDKs are open source, which is good, but the runtime that stores credentials and executes the calls is closed. Self-hosting that runtime is an enterprise-plan conversation, and on the self-serve plans your users' tokens live on Composio's cloud. I dug into exactly which layer of Composio is open and which isn't in the open-source Composio alternative post, if that's the requirement that brought you here.
The second is what happens to your data in flight. DataToRAG is pass-through. When Claude calls gmail_search, the request goes to Google on your behalf and the result comes straight back. We don't retain your messages, your files, or your calendar, and we don't index or mine them. There's no copy of your inbox sitting in our database to leak later.
One honest caveat, because the version of this paragraph that ran until August 24 said "there's no copy at all" and that was too broad. If you use the hosted agent on our own site, that conversation is stored so the thread persists, and whatever the agent quoted into it is stored with it. That is a chat log, not a mirror of your Workspace, and it does not apply when you connect Claude or another client straight to the gateway. The privacy policy states exactly what is kept and for how long. For a lot of teams I've talked to, "the vendor never holds a copy of my Workspace" is the line that decides it, ahead of any single feature in the table above.
What Composio is genuinely great at
I'd be doing you a disservice if I only listed gaps, because Composio is strong where it aims to be strong.
The breadth is real. 1,000-plus integrations means that if your agent needs Salesforce, Slack, Notion, Linear, and a dozen niche APIs in one place, Composio probably already has them. Their Gmail support specifically is deep, with dozens of actions covering labels, filters, batch operations, and the kind of edge cases most wrappers skip. The managed OAuth is good: tokens get refreshed and rotated for you, and you can bring your own OAuth client when you need to. The MCP Tool Router with dynamic discovery is a smart answer to the "too many tools confuse the model" problem. And the governance story (RBAC, SSO, SCIM, audit logs on the enterprise gateway) is the kind of thing a real security team asks for.
If I were building a multi-tenant agent product tomorrow and needed to connect thousands of customers to hundreds of apps, I'd put Composio on the shortlist without hesitating. It's a builder's platform, and it's a good one.
Where the difference bites
Picture a specific person. She runs operations at a 60-person company, she's sharp, and she is not going to write code. Her week is Jira tickets, a Confluence runbook, a Google Sheet that tracks vendors, and a contact list that's always slightly out of date.
She wants Claude to read the open Jira issues, draft a Confluence page summarizing them, update three rows in the Sheet, and fix two contacts. With DataToRAG she signs in once, connects her Google and Atlassian accounts, and asks. Claude does all four because jira_search, confluence_create_page, sheets_update, and contacts_update are all there behind one endpoint.
With Composio, before any of that happens, someone on her team has to stand up an application, get an API key, write the per-user URL generation, wire in the Jira and Google toolkits, and deploy it. That's a sprint, not an afternoon. And when she gets there, Slides and Contacts still aren't standalone toolkits she can reach.
Same protocol. Completely different amount of work between her and the result. That gap is pretty much the entire reason DataToRAG exists, and I think it's why "which is better, Composio or DataToRAG" is the wrong question. They're not the same kind of thing. One is for the person building the product. One is for the person doing the work.
If you want the full picture of how the options stack up, including the native Claude connectors and the self-hosted route, I put them side by side in the Google Workspace MCP alternatives roundup. And if you're comparing Composio against the other platforms directly, I've written up Composio vs Zapier MCP and Composio vs Pipedream Connect.
Try it
If you're the person who just wants Claude working in your own Google and Atlassian accounts, connect them at datatorag.com/dashboard. No app to build first. You'll be sending email and editing Sheets in about two minutes.
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