Retrieve the request
A user asks Protrak AI to retrieve a maintenance or customer support request from a connected enterprise system. The system's MCP tools fetch the request and supporting details.
Platform & Solutions by Prorigo
Protrak AI to External MCP Servers
Connect Protrak AI agents to the tools and systems your organization already uses.
An external application exposes supported functions through its MCP Server. Protrak AI connects to that server, discovers its tools, and makes selected capabilities available to an agent within a business interaction.
MCP provides the bridge between a Protrak AI agent and the external systems it needs to work with.
Explore the CapabilityA request may require information or action in development platforms, design tools, documentation services, or other MCP-enabled enterprise systems.
Use the capabilities exposed by a connected MCP Server instead of building a unique AI integration for every operation.
Provide the external endpoint and connection details, then connect or disconnect the server through administration.
Bring external information and approved operations into the Protrak AI experience to reduce repeated navigation between systems.
Authenticate using an approach supported by the external service. The demonstrated connection options cover open, token-based, and interactive access.
Connect to open services that do not require authentication.
Use a preconfigured token or API credential for services that support it.
Authenticate with the external service through its supported identity-provider flow.
Discover Tools retrieves the capabilities currently exposed by the connected MCP Server.
Review what the server's tools do before making them available to an agent.
Inspect schemas where the external server supplies them so tool calls and returned information are explicit and structured.
Choose the exposed external capabilities relevant to the agent's work.
Protrak orchestrates the interaction, bringing external MCP tools together with Protrak-native tools, Agent Skills, and AI reasoning.
Fetch a request or ticket and read its description, specifications, and supporting information.
Use the relevant Protrak Skill, then retrieve or update related Protrak information through native tools.
Carry out the business action and update the external request where appropriate.
Configure the MCP endpoint and connection details required by the external system.
Authenticate using the approach supported by the service.
Connect the server through administration; disconnect it when required.
Run Discover Tools to retrieve the capabilities currently exposed.
Review descriptions and available input/output schemas before making tools available to an agent.
A user asks Protrak AI to retrieve a maintenance or customer support request from a connected enterprise system. The system's MCP tools fetch the request and supporting details.
The agent uses relevant Protrak tools and business guidance to continue handling the request.
Perform the approved action and update the external request where appropriate, reducing repeated switching between applications.
MCP provides the bridge between a Protrak AI agent and the external systems it needs to work with.
Looking to connect an external AI client to Protrak? Explore Protrak MCP Server