Before an MSP can fix a vulnerable device, someone has to find it, assess its importance, and decide what needs attention first.
Cisco wants partners to bring that intelligence into their own tools. At Partner Summit on Oct. 26, the company announced general availability of Cisco IQ for partners, with production APIs and a Model Context Protocol (MCP) server for integrating IQ intelligence into partner workflows and AI agents.
For MSPs, that opens a path to recurring services around security triage, lifecycle planning, and support preparation. The test is whether those integrations improve decisions enough to justify building and maintaining them.
What partners can access
According to Cisco’s announcement, production APIs, the Cisco IQ MCP Server, and IT service management (ITSM) integrations are now available. Customers can grant partners infrastructure visibility through role-based access controls.
Partners can bring that information into their managed services platforms, ITSM tools, and AI agents. Cisco IQ Partner Support – Standard also enables partners to deliver IQ-powered services under their own brand and through their own experts.
The release builds on Cisco’s original IQ introduction, which emphasized asset visibility, lifecycle planning, and AI-assisted support.
Three services MSPs could build
These are potential service designs based on Cisco’s announced capabilities. Partners should verify the data and operations available through their contracts and interfaces before promising them to customers.
Security advisory triage. An MSP could combine asset information and risk findings to prepare a technician’s review queue, identifying affected equipment and supporting evidence. Cisco’s priority bug identification and software conformance assessments could help partners scope upgrade and hardening work.
Lifecycle planning. Coverage and support lifecycle information could help partners flag equipment approaching support deadlines and prepare replacement proposals. Adding customer context, such as application dependencies or planned expansion, would make those recommendations more useful.
Support preparation. Partners could explore workflows that assemble device information and troubleshooting context before an engineer investigates an issue.
According to Cisco’s separate announcement, its IQ AI Assistant offers contextual troubleshooting informed by device diagnostics and Technical Assistance Center (TAC) knowledge for Standard and Signature customers. Customers can also create, close, and escalate TAC cases within the assistant. Those assistant features should not be assumed to be available through the MCP server.
These opportunities reflect the broader push toward using AI to free MSP technicians for higher-value work, including investigation, customer planning, and complex projects.
Set boundaries before adding automation
Customer-granted visibility does not settle every access question. MSPs should establish which environments an integration can see, how customer information stays separate, and what happens when access is withdrawn.
They should also distinguish between recommending a change and executing it. Drafting an upgrade plan requires different controls from changing a production network.
That reinforces the need for oversight when deploying agentic AI. Partners should preserve supporting evidence, record approvals, and give technicians an escalation path when information is incomplete.
Before quoting a service, confirm entitlements, supported devices, API limits, integration costs, and available actions.
Build a service around a measurable result
A useful first project would target one frequent task, such as preparing an affected-device list after a security advisory. Run it alongside the existing process and compare preparation time, missed assets, incorrect recommendations, and engineer review effort.
Include maintenance and monitoring costs in that assessment. Faster data collection offers limited value if technicians spend the saved time correcting unreliable outputs.
Once the workflow proves useful, package it into a defined recurring service: what gets reviewed, how often customers receive findings, who approves changes, and how completion is verified. Customers then have a concrete outcome to buy, while the MSP has a clearer basis for pricing and accountability.
Cisco has opened access to infrastructure intelligence. The partner’s value will come from turning it into a dependable service customers can measure.
Read more: As MSPs build AI-powered services, growing security concerns are creating opportunities to help customers strengthen governance and oversight.