by wanaku-ai · MCP Server · ★ 124
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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 pag
| Stars | 124 |
| Forks | 45 |
| Language | Java |
| Category | MCP Server |
| License | Apache-2.0 |
| Quality Score | 58.7835901752767/100 |
| Open Issues | 65 |
| Last Updated | 2026-07-02 |
| Created | 2025-02-01 |
| Platforms | java, mcp |
| Est. Tokens | ~17k |
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wanaku is Wanaku MCP Router. It is categorized as a MCP Server with 124 GitHub stars.
wanaku is primarily written in Java. It covers topics such as agentic, agentic-ai, agents.
You can find installation instructions and usage details in the wanaku GitHub repository at github.com/wanaku-ai/wanaku. The project has 124 stars and 45 forks, indicating an active community.
wanaku is released under the Apache-2.0 license, making it free to use and modify according to the license terms.
The top alternatives to wanaku on Agent Skills Hub include volcano-agent-sdk, concierge, pgmcp. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.