MCP for DevOps, NetOps, and SecOps: Actual-World Use Instances and Future
Insights
Within the earlier submit on MCP for DevOps: Structure and Parts, we mentioned what MCP is and isn’t. We dove into a couple of architectural elements and gently touched on use instances. Now, let’s discover a couple of attainable use instances for MCP in DevOps/NetOps/SecOps.
I’ve cherry-picked a couple of buyer and accomplice use instances I’ve personally labored with and located applicable for our dialogue. My checklist won’t be exhaustive, but it surely ought to offer you a stable view of sensible makes use of for MCP. Let your thoughts ponder the probabilities in your surroundings. 😃
Within the YouTube collection on MCP for DevOps, we are going to leverage some use instances to construct a working implementation with MCP, instruments, and Cisco merchandise.
Recap – Mannequin Context Protocol (MCP)
When you didn’t catch half 1 on this weblog collection on MCP for DevOps: Structure and Parts, test it out. However for now, right here’s a fast level-set on MCP.
As illustrated in Determine 1, the Mannequin Context Protocol (MCP) supplies a uniform option to combine an AI mannequin into instruments and providers.
Determine 1. MCP with LLMs and Instruments
MCP Overview
It’s:
- A light-weight communication protocol designed particularly for AI brokers and purposes.
- Constructed to attach these brokers to instruments, APIs, databases, and file programs.
- Structured as a consumer/server structure—easy and predictable.
- Plumbing
It’s not:
- A messaging protocol for agent-to-agent communication.
- An LLM, database, AI assistant, or agent.
- A general-purpose integration platform.
- A alternative on your present APIs or information bus.
Widespread MCP Use Instances
As talked about above, MCP integrates AI purposes, instruments, information sources, APIs, and so forth. Nonetheless, MCP, being a protocol, doesn’t work alone. A consumer and server should use the protocol and full the pairing.
When AI purposes and brokers combine the MCP SDK for consumer use and create an MCP server to work on behalf of native or distant instruments, the next typical use instances can facilitate a low-toil/high-reward consequence.
-
Automating Routine Duties:
MCP can deal with repetitive chores equivalent to producing studies, managing GitHub repos, constructing Ansible playbooks, and managing CI/CD pipelines. -
Unified Knowledge and Motion Administration:
Consider MCP as your AI software or agent’s centralized hub for interacting with various programs equivalent to observability options from Splunk, orchestration programs equivalent to Cisco NSO, and AI safety platforms equivalent to Cisco AI Protection. -
Enhanced Context and Resolution-Making:
MCP-powered AI purposes and brokers present richer context by accessing information from a number of sources, resulting in sooner, smarter choices. -
Compliance and Safety:
MCP interactions throughout your programs could be safe, compliant, and auditable when used with standardized safety protocols, processes, and instruments.
As illustrated in Determine 2, the MCP Shopper (AI software, assistant, or agent) can use MCP Servers to combine with a number of automation, observability, safety, and collaboration programs by calling these by APIs, information sources, and so forth.
Determine 2. MCP with Instruments, Companies, Platforms
Unified Automation with MCP
DevOps Use Instances
-
CI/CD Automation:
AI purposes utilizing MCP can automate whole CI/CD pipelines, seamlessly managing builds, assessments, deployments, and notifications by Cisco Webex. -
Environment friendly Code Administration:
GitHub MCP integration permits an AI software or agent to handle branches, evaluate pull requests, triage points, and scan for vulnerabilities. -
Infrastructure Automation:
With MCP Server integrations for Terraform and Ansible, your AI agent can shortly and precisely provision infrastructure or modify settings. -
Streamlined Incident Response:
Cisco Webex built-in with MCP helps your AI software or agent actively have interaction in troubleshooting and incident administration, considerably lowering response occasions.
DevOps Situation:
Think about asking your AI software (Chat interface and even your IDE):
“Create a brand new launch department, run assessments, deploy to staging, and ship a notification to Cisco Webex.”
As illustrated in Determine 3, your AI software seamlessly orchestrates actions by way of GitHub, Docker, and Jenkins utilizing MCP and sends updates by Cisco Webex.
Determine 3. MCP-Powered CI/CD Pipeline
Pipeline Automation with MCP
NetOps Use Instances
-
Dynamic Community Administration:
MCP permits AI-driven administration of community configurations utilizing pure language, leveraging Cisco APIs or Infrastructure-as-Code (IaC) instruments. -
Automated Community Monitoring:
With MCP, you should utilize an AI software or agent to watch community efficiency, detect anomalies, and mechanically remediate points by way of Cisco options like ThousandEyes, Meraki Dashboard, and lots of extra. -
Cloud Infrastructure Automation:
MCP lets you use AI to handle cloud-based networking infrastructure, leveraging Kubernetes APIs and Cisco community controllers for clever automation.
NetOps Situation:
“Add a brand new OSPF IPv6 route for the 2001:db8:cafe::1/64 community at Knowledge Middle A.”
As illustrated in Determine 4, utilizing MCP, your AI software makes use of an MCP Server to work together with Cisco APIs and even NETCONF/RESTCONF to make OSPF routing updates. It instantly updates the NetOps crew by way of Cisco Webex.
Determine 4. AI-driven Site visitors Administration utilizing MCP
Community Automation with MCP
SecOps Use Instances
-
Proactive Risk Response:
AI brokers utilizing MCP swiftly detect and mitigate threats by adjusting firewall settings with Cisco Safe Firewall and mechanically isolating compromised endpoints utilizing Cisco Safe Endpoint. -
Automated Vulnerability Administration:
MCP integrations allow AI to establish vulnerabilities and generate instant infrastructure or host configuration fixes by Ansible playbooks and Terraform suppliers. -
Actual-time Incident Orchestration:
With MCP, AI orchestrates complete incident responses, isolating threats, deploying patches, and alerting groups by way of Cisco Webex.
As illustrated in Determine 5, the next state of affairs could be realized utilizing MCP:
SecOps Situation:
Upon receiving a notification that the system recognized malware, your AI assistant makes use of varied instruments by way of MCP to instantly:
- Isolates the contaminated system utilizing Cisco Safe Endpoint APIs
- Applies fixes by Ansible
- Updates firewall insurance policies
- Informs your safety crew by way of Cisco Webex
Determine 5. Incident Administration utilizing MCP
Safety Incident Automation with MCP
I’ve not scratched the floor of what’s attainable utilizing AI, MCP, and an limitless array of future MCP servers.
Future Outlook
MCP’s ecosystem continues to increase, promising deeper integrations with Cisco options and broader business adoption. Count on extra subtle cross-domain orchestration, streamlined cloud-hosted providers, and AI-driven proactive optimizations. MCP is setting the stage for smarter, sooner, and safer tool-based operations.
Issues to contemplate:
Whereas MCP is nice for AI purposes interacting with exterior instruments and information sources, at present, it isn’t constructed for production-grade agent-to-agent composition, deployment, discovery, connectivity, or lifecycle administration of brokers. MCP just isn’t but constructed to handle the dynamic discovery of MCP Servers and the instruments they symbolize.
It is usually a Wild Wild West present on MCP Servers. Everyone seems to be creating them. That’s nice because it exhibits curiosity in MCP and the way straightforward it’s to leverage the MCP SDK, indicating that MCP supplies direct worth. Nonetheless, I warning you to rigorously consider the MCP servers you leverage in your enterprise use instances. Downloading and utilizing an unknown MCP Server that anybody can publish might trigger hurt in the event you don’t perceive the instruments, sources, and so forth., the MCP Server is constructed to make use of.
A number of of the various attainable safety implications for MCP use embody:
- Privilege escalation threats
- Observability into what every software name is doing
- Dependency on extra code and packages for correct end-to-end encryption and belief
There’s a good weblog submit on MCP safety concerns on the neighborhood.cisco.com web site: Overview of MCP and Its Safety Structure.
Sooner or later, we are going to see providers and instruments that validate the code/picture of a given MCP Server as we do with app shops, container photographs, and so forth. Till there’s a standardized and well-understood method to make sure you aren’t utilizing a dangerous MCP Server, I’d be further vigilant about researching and actually understanding what the server is doing in your behalf.
What’s subsequent? We’ll proceed this collection on MCP for DevOps by entering into the hands-on facet of MCP use. Keep tuned for some YouTube movies and extra blogs on particular MCP Purchasers and MCP Servers which can be nice for Dev/Internet/SecOps.
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