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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.

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Quick Setup

Connect your AI tool in under a minute. Pick your editor: 
claude mcp add --transport http cnap-docs https://docs.cnap.tech/mcp
claude mcp add --transport http cnap https://cnap.tech/mcp
Verify:
claude mcp list
ServerURLAuthUse case
cnap-docshttps://docs.cnap.tech/mcpNoneSearch and query docs
cnaphttps://cnap.tech/mcpOAuth 2.1Manage clusters, products, deployments
You can set up just one server if you only need docs search or only need API access.

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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
List all clusters in my workspace and show me which ones have pending deployments.

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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.

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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.txt and llms-full.txt) for AI indexing
  • Markdown access — append .md to any doc URL for AI-friendly output (e.g. docs.cnap.tech/ai/index.md)