Wanaku - A MCP Router that connects everything

Wanaku - A MCP Router that connects everything

By wanaku-ai GitHub

Wanaku MCP Router

mcp artificial-intelligence
Overview

What is Wanaku?

Wanaku is a Model Context Protocol (MCP) Router designed to connect AI-enabled applications by standardizing how these applications provide context to large language models (LLMs).

How to use Wanaku?

To use Wanaku, follow the usage guide provided in the documentation. This guide will help you set up and integrate the router with your applications.

Key features of Wanaku?

  • Standardizes context provision for LLMs through the MCP.
  • Supports AI-enabled applications for better interaction and performance.
  • Open protocol that encourages collaboration and development.

Use cases of Wanaku?

  1. Enhancing AI application performance by providing structured context.
  2. Facilitating communication between different AI systems.
  3. Enabling developers to build more intelligent applications using LLMs.

FAQ from Wanaku?

  • What is the Model Context Protocol (MCP)?

The MCP is an open protocol that standardizes how applications provide context to LLMs, improving their effectiveness.

  • Is Wanaku open source?

Yes! Wanaku is open source and contributions are welcome.

  • How can I contribute to Wanaku?

You can contribute by following the contributing guide available in the documentation.

Content

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.

Getting Started With Wanaku

Usage Guide

Please follow the usage guide to learn how to use Wanaku.

Building Wanaku MCP Router

If you want to build to the project, then read building guide.

Contributing

If you want to contribute to the project, then read the contributing guide.

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