An extensible platform, not a closed box
The assistant acts through its tools: running code, analyzing an Excel workbook, generating files, querying your systems. Add MCP connectors to Microsoft and Google Cloud services, build your own — and open your governed models to your developers through an OpenAI-compatible API.
- Native MCP protocol
- Connectors governed group by group
- Audit log included
What happens between the question and the answer
A tool call isn't a black box — it's a precise, step-by-step round trip. Here's exactly what HiloIntelligence does, live.
- 1The question arrivesIn chat, a question goes beyond what the model already knows — it needs live data or an action in one of your systems.
- 2The model picks the toolAmong the active tools and connectors, it selects the best match for the request — here, Power BI over MCP.
- 3The tool is calledArguments are built and sent to the server — visible on screen, never a black box.
- 4The result comes backThe system responds with current data, not a frozen snapshot from the model's training.
- 5The answer assembles, citedThe model drafts the final answer from the result it received, with the source referenced.
Already wired into the systems you use
Over 50 native connectors ready to plug in — your credentials are all it takes, no development required. From productivity tools to cloud platforms; here are a few of them.
Your MCP server
Add your own from a URL, an OpenAPI spec, or an OAuth flow — each one passes through the same access controls as the rest of the platform before it's made available to a team.
MCP: discovery, authorization, call
The Model Context Protocol standardizes the exchange between the assistant and any tool server. HiloIntelligence speaks it natively, as a client — and as an entry point for your own servers.
- 01
Discovery
HiloIntelligence probes the server with no credentials. A 401 response naming a protected-resource document (RFC 9728) — or a well-known-path fallback — points to where to look next.
- 02
Authorization
That document points to the authorization server's endpoints (RFC 8414 / OIDC). When the server supports it, HiloIntelligence registers itself as an OAuth client on the spot (RFC 7591) — no client ID to paste in by hand.
- 03
Call
Once a token is in hand, the connector's tools appear in the same round trip shown above — selected, called with their arguments, result and all.
A closed box, or an extensible platform
Most AI assistants ship with what they ship with — a fixed set of capabilities. HiloIntelligence is built to grow with your systems.
Closed box
- A fixed feature set — no way to add a tool.
- Connectors, if any, come from a single vendor.
- No protocol, no bridge — every new system needs a custom integration.
- Text only, never an action in your real systems.
Extensible platform
- Built-in tools on private hosting — code interpreter, Excel analyzer, skills library, file generation.
- Over 50 native connectors, from Microsoft 365 to Salesforce — including 19 Google Cloud services and 5 Microsoft services, each grouped under a single tile.
- Native MCP — connect any spec-compliant server, or build a custom connector from an OpenAPI spec.
- Governed like the rest of the platform — every connector opened to the groups and people you choose, every tool call recorded in the audit log.
A one-page overview to send your team
The one-page summary of HiloIntelligence tools, connectors and API — read it online or download it for your decision-makers.
Inside this sheet
- 1Code interpreter
- 2Excel analyzer
- 3Skills library
- 4Over 50 MCP connectors
- 5Custom connectors
- 6OpenAI-compatible API
Ready to connect AI to your systems?
Turn on the connectors your teams need, govern access group by group, and let the assistant act — not just answer.