Skip to main content
Glama

Wanaku — A Governed Action Proxy for AI Agents

License Build Release

Wanaku is a governed action proxy for AI agents. It sits between agents and the systems they act on, intercepting Model Context Protocol (MCP) tool calls, agent-to-agent messages, and inference traffic. Before version 0.2.0, the project was named Wanaku MCP Router. It was renamed to Wanaku Governed Execution Proxy to reflect its expanded scope.

Wanaku supports open standards for AI agents and provides first-class integration with enterprise frameworks, including Apache Camel and Quarkus. For example, integration developers build Apache Camel routes and use Wanaku's Camel Integration Capability to publish them as tools. Agents call those tools with parameters, but Wanaku runs the work. Agents never access backend systems directly. The proxy enforces policy, identity, data controls, and audit requirements.

The project name comes from the origin of guanaco, a camelid native to South America.

Key Features

  • Agent Isolation — Agents call tools through Wanaku; they never reach backend systems directly

  • Policy Enforcement — LLM-powered evaluators + WASM action scripts classify, filter, and block tool calls in the proxy layer

  • Identity & Auth — Authentication and authorization via oauth2-proxy and Keycloak, enforced before actions reach backends

  • Tool Discovery — Auto-discover tools from upstream MCP servers; integration developers publish Camel routes as tools

  • Namespace Isolation — Organize tools and resources across isolated namespaces per team, tenant, or environment

  • Extensible Architecture — Plugin system via feature crates and a composable filter pipeline

  • Admin Dashboard — Web UI for managing tools, resources, prompts, and forwards

  • Container-Ready — Multi-arch images (x86_64, aarch64) published automatically

Related MCP server: mcp-mesh

Quick Start

Install

Download the latest early-access build on Linux or macOS. Early-access builds are development builds of the unreleased Wanaku 0.3.0, the first stable release of this server. If you need a slower cadence of changes, watch the releases page for it.

curl -fsSL https://raw.githubusercontent.com/wanaku-ai/wanaku/main/get-wanaku.sh | bash

The installer detects the host platform, verifies the release checksum, and installs wanaku-server into $HOME/bin.

Override the destination with WANAKU_INSTALL_DIR. To run Wanaku in a container or as a systemd service, read the Getting Started guide.

Run wanaku-server and access http://localhost:8080 to enter the dashboard:

Wanaku Dashboard

If you prefer a text interface, you may also download and use the Wanaku CLI from the Wanaku Barn project.

Learn Wanaku

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

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

Documentation

The Wanaku Documentation website contains the full project documentation.

Contributors working on the project may want to refer to the development documentation:

Community

  • Wanaku Barn — Utilities for the Wanaku project: OpenShift/Kubernetes operator, CLI client, etc

  • Camel Integration Capability — Build Apache Camel routes and publish them as tools that agents can call through Wanaku

License

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

Maintenance

ActivityActive
ResponsivenessUnresponsive

Related MCP Connectors

Related MCP Servers

  • A
    license
    Not graded
    quality
    D
    maintenance
    Universal MCP router and gateway that bridges LLM agents to OpenAPI, GraphQL, and AWS Lambda services with ISO/IEC 42001 AI governance, RBAC, PII redaction, semantic tool routing, and a web dashboard.
    MIT
  • A
    license
    Not graded
    quality
    B
    maintenance
    An enterprise-grade MCP gateway and security router that gives AI agents secure, observable access to internal corporate knowledge through hybrid vector+BM25 retrieval, RBAC, and prompt injection protection.
    MIT
  • A
    license
    Not graded
    quality
    C
    maintenance
    Enables AI agents to securely interact with enterprise systems of record through MCP, with harmonic coherence telemetry, phase-lock analysis, and governance controls that ensure deterministic, non-destructive operations.
    Apache 2.0