sample-okf-llm-wiki — OKF Bundle for MCP Integration
OKF ✓ v0.1Data Wiki turns data into portable knowledge bundles following Open Knowledge Format (OKF) and serves them to AI agents over the Model Context Protocol (MCP).
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.