Give every authorized agent the access, tools, and guidance they need to act. Then, govern their every action.
Put agents in front of legacy systems to interpret, enrich, and route data. Critical systems work harder.
The companies that get the most from AI are the ones whose systems are ready for agents to work.
Build a tool once and expose it to any agent that needs it. Reuse instead of starting from zero.
Govern all agents—Digibee-built or third-party—through a single control plane to manage sprawl risk.
Define how these agents connect to and work within your enterprise.
Define whether those tools are reliable, governed, or worth building.

Give agents clean, normalized, and semantically clear data to act on.
Protect agents from failing if an API does.
Embed retry strategies within tools to improve agent reliability.
Monitor tools, integrations, and workflows from a single pane of glass.

Inventory available tools with capability descriptions, ownership, and auth requirements.
Set tool visibility to public (internet-facing) or internal only.
Reduce context bloat with intelligent recommendations for relevant tools.
Use existing Digibee auth rather than rebuilding per tool.
Authenticate via API Key or, for more granular control, scoped JWT permissions for read, write, or nothing at all.
Track tool invocations in real time: who called what, when, with what inputs, and what the result was.
Full audit trails on every tool call so compliance, security, and ops have the record they need without having to ask for it.

Digibee is SOC 2 Type II certified and adheres to the Zero Trust framework, continuously validating access requests. 24/7 monitoring, infrastructure isolation, and other rigorous measures.

Onboarding, 24/7 rapid response support, self-paced learning and customer success come with your subscription. Digibee's expert services team is available to extend your team. Invest in success, not just software.

Digibee's ephemeral architecture isolates executions to maximize uptime. It also powers elasticity—instantly surging to handle spikes and scaling to zero during lulls.
MCP is an open standard that defines how AI agents discover, authenticate with, and invoke tools. It gives agents a structured way to interact with enterprise systems — but on its own, MCP doesn't address security, governance, or reliability at scale.
Digibee MCP Hub adds the layers MCP alone doesn't provide: centralized tool registry, scoped authentication (API Key or JWT), granular access policies, full audit trails, and real-time observability — so every agent interaction is governed and traceable.
Yes. Any authorized agent — whether built in Digibee, by a third-party vendor, or homegrown — connects through the same hub, uses the same tools, and operates under the same governance policies.
Any workflow or pipeline you've already built in Digibee can be exposed as an MCP tool with a few clicks. Digibee handles the protocol, versioning, and lifecycle management so agents can discover and invoke the tool immediately.
MCP Hub provides a single control plane where every tool is registered, every agent is authenticated, and every invocation is logged. Teams can see who called what, when, with what inputs, and what the result was — eliminating ungoverned agent activity.