Every system you run. One governed index.
Connect each source once. Atolio keeps it in sync, carries its permissions, and serves cited context to every search, copilot and agent.
Trusted by teams across leading enterprises
Works with the tools your teams already use
Every connector indexes content and permissions, and keeps both in sync continuously. Each one has a setup guide in the docs.
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We’ll build the connector for you, including for proprietary, on-premises and legacy systems. Your team can also build its own with the Atolio SDK. Drop us a chat message and a real person will get back to you.
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Built by Atolio
We build itIncluding proprietary, on-premises and legacy systems.Atolio SDK
You build itWith the Atolio SDK.Live via MCP
Use it todayAny AI tool or agent can reach it live over MCP, under the same permissions.
What’s a connector, and why should you care?
Your AI is only as good as the context it can access. Connectors bring that context in, safely, and keep it current.
- A connector reads the documents, messages, tickets and records in a tool like Google Drive.
- Who can see each item comes along with it. This pricing deck stays limited to Finance and Sales.
- Everything lands in one index in your own cloud or on-prem. Nothing leaves.
- Edits, deletions and revoked access sync in near real time, so answers don’t go stale.
- A sales rep gets the deck, cited, in any AI tool. An engineer asking the same question doesn’t.
Why index instead of fetching live?
- Index what’s bigOne search across every system instead of many live calls, using up to 80% fewer tokens.
- Fetch what’s liveSmall or fast-changing data stays on its own MCP server, under the same permissions.
Ready for the teams who have to approve it
What IT and security ask before anything gets connected, answered up front.
- Deployment
Runs inside your perimeter
Atolio indexes in your own private cloud account or on-prem, under your IAM and your keys. For on-prem systems, a connector agent works over your internal network, so nothing has to be internet-facing.
- Permissions
Same access as the source
Permissions sync continuously from each source and apply on every query, so people, copilots and agents only see what they could already open.
- Source systems
Easy on the tools your people use
Backoff, request budgets and consumption caps prevent indexing from slowing anything down. Large first crawls can be phased over several days.
- Oversight
Visible to your admins
Last-sync times and errors for every connector are in the Atolio admin dashboard, and edits, deletions and revoked access sync continuously.
Atolio supports native connectors for the systems where most company knowledge lives, and custom sources can be connected too. Out of the box, that includes Google Workspace (Drive, Gmail, Calendar, Chat and Sites), Microsoft 365 (SharePoint, Teams, OneDrive and Outlook), Slack, Zoom, Gong, Confluence, Jira, GitHub, GitLab, Bitbucket, Linear, Notion, Box, Salesforce, HubSpot, Zendesk and ServiceNow. Self-hosted versions such as Jira Data Center, Confluence Data Center and GitHub Enterprise Server have their own connectors, and a web connector indexes internal or public websites. Sign-in connectors for Okta, Microsoft Entra ID and Google match each person across tools so permissions resolve to the right user.
If a system you rely on isn’t covered, we’ll build the connector for you, using the same indexing and permission model as the native ones. Some systems don’t need a connector at all. Small or fast-changing data, such as a live account status, can stay on the system’s own Model Context Protocol (MCP) server, which any AI tool or agent can reach under the same permissions. The full list, with a setup guide for each connector, is on this page and in the Atolio docs.
Yes, Atolio inherits permissions from every source system, so there’s no second set to build or maintain. Each connector syncs content together with who can see it, and permissions sync continuously from your source systems. They’re checked on every query, against direct, group and nested group memberships, before anything reaches the model. Group memberships come from the identity provider you already run, such as Okta or Microsoft Entra ID, which is how Atolio recognizes one person across Slack, Jira, Salesforce and Google Drive.
People, copilots and agents only see what they could already open in the source. An agent working for a sales rep can use a pricing deck shared with Sales; the same question from an engineer comes back without it. Because Atolio inherits access exactly as it exists, it never widens it. Admins can also see every document a person can reach across systems, which helps find oversharing before an agent does.
Atolio stays evergreen by syncing every connected source in near real time for most connectors. Each connector watches its source for new content, edits, deletions and permission changes, using change logs, webhook events or scheduled checks depending on what the source system offers. When something changes, only that item is updated, with no full re-crawl. If someone is removed from a Confluence space or a Google Drive folder is restricted, the change is reflected in the next permission sync cycle, and deleted content is removed from the index the same way.
Near real time means content is typically minutes old. That’s the right freshness for almost everything people and agents ask about. For the few things that must be exact at that moment, such as a current stock level or a live account status, an agent should read the source system directly through its own MCP server.
Admins can see last-sync times and any errors for every connector in the Atolio admin dashboard.
Setting up a connector takes an admin in the source system and the credentials that system uses for integrations. The steps depend on the source: Salesforce uses an External Client App installed in your org, HubSpot uses a private app, and Zendesk needs an admin user and an application programming interface (API) token. Once the credentials are added in Atolio, the connector runs its first full crawl and then keeps the source in sync in near real time.
Each connector’s setup guide in the Atolio docs lists the access it needs, so your security team can review it before anything is connected. Connectors read from your systems and don’t write back to them.
The first crawl of a large system creates the most API load. Atolio’s implementation team reviews your API quotas during deployment planning and can phase that crawl over several days for sources with strict limits. In a proof of technology, connecting and indexing each system typically takes one to two weeks, depending on how much data sits behind it.
Yes, Atolio can connect to a system that isn’t on the list, and we’ll build the connector for you. Tell us which system you need and what’s in it, and Atolio builds the connector against that system’s API, using the same indexing and permission model as the native connectors. Content from that system lands in the same index, carries its own access rules, and shows up in search and in every AI tool alongside everything else. Your team doesn’t take on the build or the upkeep, and this works for proprietary, on-premises and legacy systems as well as commercial tools.
If you’d rather build it yourselves, you can also use the Atolio connector software development kit (SDK). Connectors built with the SDK follow the same indexing and permission model, and Atolio provides documentation, reference implementations and technical support during the build. Like every connector, a custom one shows its last-sync time and any errors in the Atolio admin dashboard.
Yes, Atolio connects to on-premises and legacy systems from inside your own network. Atolio runs in your own private cloud account on Amazon Web Services (AWS), Microsoft Azure or Google Cloud, or on-prem on Red Hat OpenShift, and it can run fully air-gapped. For on-prem sources, a connector agent runs inside your network perimeter and reaches those systems over your internal network, so they never need to be exposed to the internet. Extracted content goes to the Atolio index in your environment and doesn’t leave it.
Self-hosted tools have native connectors, including Jira Data Center, Confluence Data Center, GitHub Enterprise Server and self-managed GitLab. For legacy and mainframe content stores without a connector, we’ll build one that delivers their content to Atolio’s ingestion pipeline with the same permission model.
On-prem connectivity needs some network setup, since the connector agent has to reach both the source system and the Atolio indexing endpoint. Atolio’s implementation team documents and validates those network paths during deployment planning.
Yes, Copilot, Claude, ChatGPT, Gemini and the agents you build in-house all work with Atolio’s connectors. Each AI tool connects to Atolio once, through MCP or Atolio’s API, and from there it draws on every connected system at once. Answers are grounded in your own systems and cite their sources, so people can click through to the exact document, message or record. Agents acting for a person see only what that person can see, checked on every query.
Connecting through Atolio replaces wiring each AI tool to each system separately. With federated MCP, an agent calls every connected system live, including the ones with no answer, and each call adds tokens and waits on the slowest system. Atolio runs one search across a single index and hands the model only the context it needs, which cuts token use by up to 80% compared with federated MCP.
Systems with small or live data can stay on their own MCP servers, and agents can use both side by side.
Atolio handles semi-structured data, such as CRM and ticket records, alongside documents. When a connector indexes a record, it captures the fields attached to it as typed values: strings, numbers, booleans and dates. A Salesforce opportunity, for example, comes in with its stage, amount and close date. Those fields keep their permissions and can be used to filter searches, so a plain-language question can draw on a CRM record and a Slack thread in the same answer, ranked together in one result list.
For documents, Atolio extracts text from PDF, Word, PowerPoint and HTML files, keeping document structure where possible. Every item is searchable both by keyword and by meaning.
Fully structured data, the kind that lives in tables in data warehouses and lakes such as Snowflake and Databricks, is handled differently. Those systems already have strong ways to query their own data, so Atolio doesn’t copy it in. Agents reach them through their own MCP servers, while Atolio covers the documents, messages, tickets and records spread across everything else. Which objects and fields a connector indexes is set during implementation.
All your tools, one index.
Better, faster, cheaper AI for your team, copilots, and agents.