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MCP SERVER Listed

wanaku-ai/wanaku

Wanaku is an SSE-based MCP router designed to bridge the gap between AI agents and fragmented enterprise backend systems. Unlike standard single-purpose MCP servers, Wanaku acts as a routing layer, allowing developers to consolidate multiple internal APIs and data sources into a single entry point for LLMs. This architecture simplifies agent integration by decoupling the model's tool-calling interface from the underlying infrastructure. It is particularly useful for teams managing complex microservices or legacy systems that need to be exposed to AI agents without rewriting every endpoint into a separate MCP server. By leveraging Server-Sent Events (SSE), it ensures scalable, real-time communication between the agent and the enterprise ecosystem.

Open ecosystemGeneral
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01 / SERVER DETAIL

Server detail

Wanaku is an SSE-based MCP router designed to bridge the gap between AI agents and fragmented enterprise backend systems. Unlike standard single-purpose MCP servers, Wanaku acts as a routing layer, allowing developers to consolidate multiple internal APIs and data sources into a single entry point for LLMs. This architecture simplifies agent integration by decoupling the model's tool-calling interface from the underlying infrastructure. It is particularly useful for teams managing complex microservices or legacy systems that need to be exposed to AI agents without rewriting every endpoint into a separate MCP server. By leveraging Server-Sent Events (SSE), it ensures scalable, real-time communication between the agent and the enterprise ecosystem.

An MCP server that exposes wanaku-ai/wanaku capabilities to MCP-compatible AI clients.

CapabilitiesGeneralMCPOpen source
ProtocolModel Context Protocol
Developer ecosystemOpen ecosystem
LicenseMIT / check source
SourceGitHub
COLLECTIONS

Collections featuring this MCP

Popular MCP2026.03.30Listed
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02 / TOOL TESTING

Tool testing

AVAILABLE TOOL

wanaku-ai-wanaku

Callable

Call the MCP capabilities provided by wanaku-ai/wanaku and return a structured result.

PARAMETERS
inputPass arguments according to the server tool schema.
Tip: the tool may truncate responses. Use pagination parameters such as start_index to read long content in chunks.
03 / SERVICE CONFIGURATION

Connection modes

Remote
{
  "mcpServers": {
    "wanaku-ai/wanaku": {
      "url": "Generated by the provider after deployment"
    }
  }
}

The Remote endpoint is generated by the provider after deployment; this page does not fabricate an unusable endpoint.

03 / WORKFLOW

How to use

  1. 01
    Step 1

    Review server capabilities and permission scope.

  2. 02
    Step 2

    Copy the install command or JSON configuration.

  3. 03
    Step 3

    Run a small connection test in your client.

  4. 04
    Step 4

    Adopt it long term only after reviewing access and maintenance.

04 / DISCUSSIONS

Discussions

Use this space to keep checking source information, usage experience and maintenance status.

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