CNAP is built for agentic operations. Instead of clicking through dashboards, your AI agents manage clusters, deploy products, and automate infrastructure through the same API that powers the platform — via the Model Context Protocol (MCP). Two MCP servers provide full access to documentation and the platform API, turning any MCP-compatible tool into a CNAP control plane.Documentation Index
Fetch the complete documentation index at: https://docs.cnap.tech/llms.txt
Use this file to discover all available pages before exploring further.
Quick Setup
Connect your AI tool in under a minute. Pick your editor:- Claude Code
- Cursor
- VS Code
- Claude Desktop
- Other
| Server | URL | Auth | Use case |
|---|---|---|---|
cnap-docs | https://docs.cnap.tech/mcp | None | Search and query docs |
cnap | https://cnap.tech/mcp | OAuth 2.1 | Manage clusters, products, deployments |
What You Can Do
Once connected, your AI agents can:- Deploy and manage — create products, spin up clusters, check deployment health, and scale infrastructure through natural language
- Chain operations — the platform MCP uses Code Mode so agents compose multiple API calls in a single step, like listing workspaces then checking each cluster’s status
- Query documentation — get instant answers about CNAP features, APIs, and configuration
- Stay current — MCP servers return real-time data from the platform, not stale training knowledge
Try it
Two MCP Servers
Documentation MCP
Search and query CNAP docs in real-time. No auth required — works out of the box.
Platform MCP
Manage clusters, products, and deployments via the CNAP API. Uses OAuth 2.1 and sandboxed Code Mode.
Beyond MCP
CNAP’s AI integration goes beyond MCP servers:- Contextual menu — every doc page offers copy-as-markdown, open-in-AI, and one-click editor setup
- llms.txt — industry-standard files (
llms.txtandllms-full.txt) for AI indexing - Markdown access — append
.mdto any doc URL for AI-friendly output (e.g.docs.cnap.tech/ai/index.md)