Wanaku
Wanaku MCP Router
What is Wanaku?
Wanaku is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to wanaku mcp router
Wanaku MCP Router
This server falls under the Cloud Services category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Wanaku MCP Router
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx wanakuConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Wanaku
Wanaku is an MCP Router that acts as a central gateway between autonomous AI agents and enterprise systems. It leverages Apache Camel's 400+ integration components to manage hundreds or thousands of tool and resource integrations from a single dashboard. Teams use Wanaku when they need to give AI agents governed, centralized access to internal enterprise services without building one-off connectors for each system.
Prerequisites
- Java runtime (JVM) installed on the host machine
- Wanaku CLI downloaded from the GitHub releases page (https://github.com/wanaku-ai/wanaku/releases)
- An MCP-compatible client such as Claude Desktop or Cursor
- Optional: Keycloak instance if authentication is required (auth is optional by default)
Download the Wanaku CLI
Visit the Wanaku GitHub releases page and download the latest CLI archive for your operating system. Unpack the archive to a directory on your PATH.
# Download from https://github.com/wanaku-ai/wanaku/releases
# Then unpack the archive, e.g.:
tar -xzf wanaku-cli-*.tar.gz
mv wanaku /usr/local/bin/Start the Wanaku router locally
Run the Wanaku router in local mode. This starts the server and makes the management dashboard available at http://localhost:8080.
wanaku start localVerify the dashboard
Open your browser and navigate to http://localhost:8080 to confirm the Wanaku dashboard is running. From here you can add tool namespaces and configure Apache Camel-based integrations.
Register tools and resources
Use the Wanaku dashboard or CLI to register integration endpoints. Each tool or resource maps to an Apache Camel route that connects to a backend enterprise system (databases, REST APIs, message queues, etc.).
Configure your MCP client
Add the Wanaku server to your MCP client configuration. The client connects to the Wanaku router, which then routes tool calls to the appropriate backend integrations.
{
"mcpServers": {
"wanaku": {
"command": "wanaku",
"args": ["start", "local"]
}
}
}Explore the examples repository
The wanaku-examples repository at https://github.com/wanaku-ai/wanaku-examples contains sample integrations and guided tutorials that demonstrate connecting Wanaku to common enterprise systems.
Wanaku Examples
Client configuration
Connect an MCP client to the locally running Wanaku router. Wanaku exposes all registered integrations as MCP tools once started.
{
"mcpServers": {
"wanaku": {
"command": "wanaku",
"args": ["start", "local"]
}
}
}Prompts to try
Once Wanaku is running and integrations are configured, use these prompts with your AI assistant to interact with connected enterprise systems.
- "List all available tools registered in the Wanaku router"
- "Query the sales database for orders placed this week"
- "Send a message to the internal Slack channel using the registered Camel route"
- "Trigger the pipeline integration for project XYZ"Troubleshooting Wanaku
Dashboard is not accessible at http://localhost:8080 after running `wanaku start local`
Check that the JVM is installed and the Wanaku binary has execute permissions. Review startup logs for port conflicts and try an alternative port if 8080 is already in use.
AI agent cannot discover tools registered in Wanaku
Ensure the MCP client is pointed at the correct Wanaku endpoint and that the tools have been properly registered via the dashboard. Check the Wanaku docs at https://wanaku.ai/docs for namespace configuration details.
Apache Camel integration route fails to connect to the backend system
Verify that the Camel component dependencies are available and that network connectivity to the target system exists. Consult the Apache Camel component documentation for the specific connector (e.g., camel-sql, camel-http) for required configuration.
Frequently Asked Questions about Wanaku
What is Wanaku?
Wanaku is a Model Context Protocol (MCP) server that wanaku mcp router It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Wanaku?
Follow the installation instructions on the Wanaku GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Wanaku?
Wanaku works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Wanaku free to use?
Yes, Wanaku is open source and available under the Apache-2.0 license. You can use it freely in both personal and commercial projects.
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Browse More Cloud Services MCP Servers
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Set Up Wanaku in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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