wanaku

Name: wanaku
Author: wanaku-ai

by wanaku-ai

Verified

Wanaku MCP Router

130stars

49forks

Java

Added 3/9/2026

Installation

# Add to your Claude Code skills
git clone https://github.com/wanaku-ai/wanaku

Getting Started

Guides for using ai agents skills like wanaku.

Caveman: Cut Claude Token Use by 65%
How agent-side prompt compression works, when to use it, and when not to.
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Definitions, how marketplaces work, and how to choose between them in 2026.
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Security ReportVerified

Last scanned: 5/30/2026

{
  "issues": [],
  "status": "PASSED",
  "scannedAt": "2026-05-30T16:32:45.075Z",
  "npmAuditRan": true,
  "pipAuditRan": true
}

README.md

Frequently Asked Questions

What is wanaku?

wanaku is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by wanaku-ai. Wanaku MCP Router. It has 130 GitHub stars.

Is wanaku safe to use?

Yes. wanaku passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install wanaku?

Clone the repository with "git clone https://github.com/wanaku-ai/wanaku" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is wanaku written in?

wanaku is primarily written in Java. It is open-source under wanaku-ai on GitHub, so you can review or fork the full source.

Are there alternatives to wanaku?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh wanaku against similar tools.

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Wanaku - A MCP Router that connects everything

The Wanaku MCP Router is a router for AI-enabled applications powered by the Model Context Protocol (MCP).

This protocol is an open protocol that standardizes how applications provide context to LLMs.

The project name comes from the origins of the word Guanaco, a camelid native to South America.

Key Features

Unified Access - Centralized routing and resource management for AI agents
MCP-to-MCP Bridge - Act as a gateway or proxy for other MCP servers
Extensive Connectivity - Leverage 400+ Apache Camel components for integration
Secure by Default - Built-in authentication and authorization via Keycloak (optional — can run without auth)
Kubernetes-Native - First-class support for OpenShift and Kubernetes deployments
Extensible Architecture - Easy to add custom tools and resource providers
Multi-Namespace Support - Organize tools and resources across isolated namespaces

Quick Start

Getting started is a single command. Download the CLI from releases page, unpack, and then just run:

wanaku start local

Access http://localhost:8080 to enter the dashboard:

Wanaku Dashboard

Learn Wanaku

The easiest way to learn Wanaku is by following the guided tutorial.

Basic Usage

The reference documentation, including the complete installation and configuration instructions, is available on the usage guide.

Documentation

The Wanaku Documentation website contains additional documentation, covering several of components that are part of the project - some of which are hosted in different repositories (i.e.: such as the Camel Integration Capability, the Java SDK, etc.).

Community

GitHub Issues - Bug reports and feature requests
Discussions - Ask questions and share ideas
Examples - Example capabilities and integrations

Contributors working on the project may want to refer to the development version of the documentation including

Pre-release Usage Guide - Pre-release usage guide
Architecture - System architecture and components
Building - Build and package the project
Contributing - Contribution guidelines
Security - Security policy and best practices

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.