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sample-okf-llm-wiki — OKF Bundle for MCP Integration

OKF ✓ v0.1

Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Context Protocol (MCP).

By aws-samples 24 stars Uncategorized MIT-0

Best for

  • AI agents using the MCP protocol
  • Claude Code and AI coding agents

What it does

  • Exposes functionality through the Model Context Protocol (MCP) for agent-native access
  • Fully OKF-conformant — works with any OKF-compatible agent framework
  • Version-controlled with standard Git workflows for collaboration

How to use with AI agents

Step 1: Clone the repository

git clone https://github.com/aws-samples/sample-okf-llm-wiki
cd sample-okf-llm-wiki

Step 2: Point your AI agent at the bundle directory

# Claude Code
claude /path/to/sample-okf-llm-wiki

MCP: This bundle supports the Model Context Protocol. Configure your MCP client to discover and load this bundle.

Frequently Asked Questions

Is sample-okf-llm-wiki OKF conformant?

Yes, sample-okf-llm-wiki is OKF conformant (version 0.1). This means it follows the Open Knowledge Format specification.

How do I install sample-okf-llm-wiki?

Clone the repository and point your AI agent at the bundle directory. The agent will automatically discover and load the OKF knowledge. No additional tools or SDKs are required.

What AI agents can use sample-okf-llm-wiki?

sample-okf-llm-wiki works with any AI agent that supports OKF bundles, including Claude Code. Just point your agent at the bundle directory.

What are alternatives to sample-okf-llm-wiki?

Similar bundles include pi-okf, pi-llm-wiki, AI-TadPole-OS. Browse these for alternative approaches and feature sets.