Route and Manage AI Agent Resources
A router for AI agents, offering centralized management, MCP-to-MCP bridging, and extensive integration via Apache Camel, with built-in security.
Why it matters
Centralize routing and resource management for AI agents, acting as a gateway between multiple MCP servers with extensive integration capabilities.
Outcomes
What it gets done
Provide unified access to AI agents and resources.
Bridge MCP servers for seamless inter-server communication.
Leverage 300+ Apache Camel components for broad integration.
Secure access with built-in authentication and authorization.
Install
Add it to your toolbox
Run in your project directory:
curl -fsSL https://spark.entire.vc/get/vb-wanaku-mcp-router | bash Overview
Wanaku MCP Router MCP Server
What it does
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.
Source README
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:
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
Discussion
Questions & comments · 0
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