Building an Internal Knowledge Base for Your AI Agent

Want your AI agent to truly understand your company's code, APIs, and best practices? Here's how to build a powerful, MCP-compatible internal knowledge base for your team.

Why Go Internal?

Public docs are great, but your proprietary code and workflows are unique. An internal knowledge base lets your agent answer questions, generate code, and automate tasks with your exact context.

What to Include

• Core libraries and frameworks your team uses
• Internal APIs and service documentation
• Architecture patterns and onboarding guides
• Frequently used code snippets and templates

Making It MCP-Compatible

Use the CIDX CLI to index your docs, code, and APIs. Organize them by topic, tag, and usage. The MCP protocol ensures your agent can search and retrieve the right info, every time.

Best Practices

• Keep your knowledge base up to date with regular syncs
• Tag content for easy discovery
• Document edge cases and gotchas
• Encourage team contributions

Ready to get started? Explore more resources or contact us for a demo.