MCP for DevOps, NetOps, and SecOps: Actual-World Use Circumstances 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 just a few architectural elements and gently touched on use circumstances. Now, let’s discover just a few doable use circumstances for MCP in DevOps/NetOps/SecOps.
I’ve cherry-picked just a few buyer and accomplice use circumstances I’ve personally labored with and located acceptable for our dialogue. My checklist won’t be exhaustive, however it ought to provide you with a stable view of sensible makes use of for MCP. Let your thoughts ponder the chances in your atmosphere. 😃
Within the YouTube sequence on MCP for DevOps, we’ll leverage some use circumstances to construct a working implementation with MCP, instruments, and Cisco merchandise.
Recap – Mannequin Context Protocol (MCP)
In case you didn’t catch half 1 on this weblog sequence 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) offers a uniform approach to combine an AI mannequin into instruments and companies.
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 current APIs or information bus.
Widespread MCP Use Circumstances
As talked about above, MCP integrates AI purposes, instruments, information sources, APIs, and so on. 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 circumstances can facilitate a low-toil/high-reward consequence.
-
Automating Routine Duties:
MCP can deal with repetitive chores reminiscent of producing experiences, managing GitHub repos, constructing Ansible playbooks, and managing CI/CD pipelines. -
Unified Information and Motion Administration:
Consider MCP as your AI software or agent’s centralized hub for interacting with various programs reminiscent of observability options from Splunk, orchestration programs reminiscent of Cisco NSO, and AI safety platforms reminiscent of 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 quicker, smarter choices. -
Compliance and Safety:
MCP interactions throughout your programs may 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 on.
Determine 2. MCP with Instruments, Companies, Platforms
Unified Automation with MCP
DevOps Use Circumstances
-
CI/CD Automation:
AI purposes utilizing MCP can automate complete CI/CD pipelines, seamlessly managing builds, assessments, deployments, and notifications by Cisco Webex. -
Environment friendly Code Administration:
GitHub MCP integration allows an AI software or agent to handle branches, evaluation pull requests, triage points, and scan for vulnerabilities. -
Infrastructure Automation:
With MCP Server integrations for Terraform and Ansible, your AI agent can rapidly and precisely provision infrastructure or modify settings. -
Streamlined Incident Response:
Cisco Webex built-in with MCP helps your AI software or agent actively interact in troubleshooting and incident administration, considerably decreasing response instances.
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 through 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 Circumstances
-
Dynamic Community Administration:
MCP allows AI-driven administration of community configurations utilizing pure language, leveraging Cisco APIs or Infrastructure-as-Code (IaC) instruments. -
Automated Community Monitoring:
With MCP, you need to use an AI software or agent to watch community efficiency, detect anomalies, and routinely remediate points through Cisco options like ThousandEyes, Meraki Dashboard, and plenty 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 Information Heart 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 through Cisco Webex.
Determine 4. AI-driven Visitors Administration utilizing MCP
Community Automation with MCP
SecOps Use Circumstances
-
Proactive Risk Response:
AI brokers utilizing MCP swiftly detect and mitigate threats by adjusting firewall settings with Cisco Safe Firewall and routinely isolating compromised endpoints utilizing Cisco Safe Endpoint. -
Automated Vulnerability Administration:
MCP integrations allow AI to establish vulnerabilities and generate quick 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 through Cisco Webex.
As illustrated in Determine 5, the next state of affairs may be realized utilizing MCP:
SecOps Situation:
Upon receiving a notification that the system recognized malware, your AI assistant makes use of numerous instruments through MCP to instantly:
- Isolates the contaminated gadget utilizing Cisco Safe Endpoint APIs
- Applies fixes by Ansible
- Updates firewall insurance policies
- Informs your safety crew through Cisco Webex
Determine 5. Incident Administration utilizing MCP
Safety Incident Automation with MCP
I’ve not scratched the floor of what’s doable utilizing AI, MCP, and an limitless array of future MCP servers.
Future Outlook
MCP’s ecosystem continues to develop, promising deeper integrations with Cisco options and broader business adoption. Count on extra refined cross-domain orchestration, streamlined cloud-hosted companies, and AI-driven proactive optimizations. MCP is setting the stage for smarter, quicker, and safer tool-based operations.
Issues to contemplate:
Whereas MCP is nice for AI purposes interacting with exterior instruments and information sources, at the moment, it isn’t constructed for production-grade agent-to-agent composition, deployment, discovery, connectivity, or lifecycle administration of brokers. MCP isn’t but constructed to handle the dynamic discovery of MCP Servers and the instruments they signify.
It is usually a Wild Wild West present on MCP Servers. Everyone seems to be creating them. That’s nice because it reveals curiosity in MCP and the way simple it’s to leverage the MCP SDK, indicating that MCP offers direct worth. Nonetheless, I warning you to rigorously consider the MCP servers you leverage in your enterprise use circumstances. Downloading and utilizing an unknown MCP Server that anybody can publish might trigger hurt when you don’t perceive the instruments, assets, and so on., the MCP Server is constructed to make use of.
Just a few of the numerous doable safety implications for MCP use embrace:
- Privilege escalation threats
- Observability into what every device 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 group.cisco.com website: Overview of MCP and Its Safety Structure.
Sooner or later, we’ll see companies and instruments that validate the code/picture of a given MCP Server as we do with app shops, container photographs, and so on. Till there’s a standardized and well-understood approach to make sure you aren’t utilizing a dangerous MCP Server, I might be further vigilant about researching and really understanding what the server is doing in your behalf.
What’s subsequent? We are going to proceed this sequence on MCP for DevOps by entering into the hands-on aspect of MCP use. Keep tuned for some YouTube movies and extra blogs on particular MCP Purchasers and MCP Servers which might be nice for Dev/Internet/SecOps.
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