The rConfig MCP server
Code meets configuration
Tap into the Model Context Protocol to generate scripts, automate workflows, and explore configurations securely using your AI coding assistant. It is the outbound half of our network AI maturity model.
AI for network reliability
Bridge the gap between human intent and machine execution with the power of the Model Context Protocol.
Configuration drift
AI-assisted detection of unintended changes across your fleet, with corrections proposed for human approval.
Automated scripts
Turn natural language into ready-to-run automation code for Python, Bash, or Ansible.
Open developer access
AI can browse, query, and take governed, permissioned actions on rConfig’s open-source foundation through the standardised MCP.
Private & secure
Absolutely no data leaves your environment. The MCP server runs locally within your infrastructure.
How MCP-AI works
Four stages, connect, engineer, explore, govern, each built to surface context without ever leaving the customer’s rConfig instance.
Connect your AI tools
Seamlessly integrate with Claude Code, Cursor, and ChatGPT. The MCP standard allows these models to automatically discover rConfig's capabilities without complex manual configuration.
- Native Claude & Cursor integration
- Automatic tool discovery via MCP
- Multi-model orchestration support
Intelligent engineering
Create backup scripts, diff API requests, and reporting pipelines in seconds. Just describe what you need, and watch the code appear, ready for review and secure execution.
- Precision script generation
- Real-time API diffing & testing
- Governed workflow automation
Explore rConfig’s core
Your AI assistant can securely browse models, documentation, and configuration metadata, giving it the specific context it needs to provide accurate, network-aware answers.
- Secure metadata indexing
- Deep configuration exploration
- Live documentation grounding
Enterprise governance
Full RBAC inheritance with a strict separation between read-safe and write-class operations. Read-safe is the default. Any write-class action is permissioned, human-approved, and logged for full audit compliance.
- Strict RBAC inheritance
- Read-safe by default, writes gated
- Full audit logging for AI sessions
AI as a Skill, built into your network toolkit
Download rConfig as a Skill and your AI coding tools gain network-aware context and governed actions, without bespoke integration work.
A packaged capability, not just an endpoint
The MCP server is the live endpoint. The rConfig Skill is the packaged capability your AI tools load to learn how to drive rConfig, distinct from the server and portable across tools.
Loaded by your AI coding tools
Claude Code, Cursor, ChatGPT and other MCP-aware tools load the rConfig Skill to gain network-aware context and a governed set of actions, scoped by your RBAC.
Automatic discovery, no manual wiring
Through the MCP standard the tool discovers rConfig's capabilities for itself, so the developer gets network context without complex manual configuration.
This is the outbound story, rConfig exposed to your own AI tools. For AI inside rConfig that reads and explains your estate, see AI config analysis.
Model Context Protocol, Under the Hood
Exposed Toolset
rConfig exposes a curated “toolset” to AI models via MCP. These tools describe available API calls, schemas, and safe operations in a format LLMs natively understand.
- Describe API definitions & schemas
- Distinguish safe vs. unsafe operations
- Context-aware config inspection
All executed inside the customer’s rConfig instance. No external data egress.
The workflow
From prompt to production in five reviewable, audit-logged steps.
Natural-language request
Ask your AI assistant to perform a task.
Tool discovery
AI identifies available rConfig MCP tools.
Code generation
AI constructs the necessary API calls or scripts.
Review & run
You validate the logic, then execute securely.
Audit logged
Full traceability of the AI’s actions.
Who uses MCP-AI
Same underlying protocol, three different jobs, each team gets configuration-aware automation phrased for their workflow.
System integrators
Build and maintain complex automations faster. Generate boilerplate integration code for third-party tools instantly.
MSPs & DevOps
Generate multi-tenant onboarding scripts and compliance reports tailored to specific customer environments safely.
Automation engineers
Turn plain-language directives into Python, Bash, PowerShell, or PHP pipelines without manual syntax lookup.
Frequently Asked Questions
Bridge your AI with your Infrastructure
Deploy the rConfig MCP Server to give your AI assistants direct, governed access to your network data. Secure, scalable, and built for the enterprise.