Your AI Tools Are Only as Good as the Context You Give Them
Every developer knows the frustration: you're working with an AI assistant, but it doesn't know about your company's architecture decisions, your API conventions, or your onboarding docs. So you copy-paste. You summarize. You lose time.
Kowiki's MCP Server eliminates this. Your AI tools get direct, structured access to everything your team has documented — across every connected source.
One URL. Every Document. Every AI Tool.
The Model Context Protocol (MCP) is the open standard for connecting AI agents to external data. Kowiki implements it so your AI tools can:
- Search across all your synced documentation
- Read full page content with proper formatting
- Browse sections and pages by structure
- List everything available in your knowledge base
Whether your docs live in Google Drive, SharePoint, GitHub, OneDrive, or Dropbox — your AI agent sees them all through one interface.
Works Where You Work
| Tool | Setup |
|---|---|
| Claude Desktop | Paste URL in MCP settings |
| Cursor | Add to .cursor/mcp.json |
| Zed | Add to context_servers in settings |
| Windsurf | Add MCP server URL |
| Any MCP client | Just provide the endpoint URL |
No API keys to manage. No config files to maintain. OAuth handles everything — your browser opens, you authorize, and you're connected.
Why This Matters for Engineering Teams
Your team writes documentation for a reason — architecture decisions, API references, runbooks, onboarding guides. But that knowledge is only valuable if it's accessible at the moment of need.
With Kowiki's MCP Server, your AI assistant knows:
- What patterns your team uses
- How your services are structured
- What decisions were already made and why
- How to onboard to a new codebase
No more "let me find that doc for you." Your AI already has it.