About
The Wisdom MCP Gateway provides a simple stdio interface to the Wisdom MCP SSE Server, enabling developers to interact with streaming data via standard input/output streams. It is a lightweight wrapper that forwards commands and responses between local processes and the MCP server.
Capabilities

Overview
The Wisdom MCP Gateway is a lightweight, stdio‑based bridge that connects the Wisdom Model Context Protocol (MCP) server to command‑line or terminal environments. By exposing the MCP over standard input and output streams, it enables developers to integrate AI assistants directly into shell scripts, CI/CD pipelines, or any environment that can spawn a child process. This solves the common pain point of coupling AI services to complex network stacks—developers no longer need to manage HTTP endpoints or WebSocket connections; instead, they can interact with the MCP using simple read/write operations.
At its core, the gateway forwards every request and response between the client process and the Wisdom MCP SSE (Server‑Sent Events) server. The gateway listens for JSON‑encoded MCP messages on stdin, forwards them to the underlying SSE server, and streams back responses via stdout. This transparent relay preserves the full feature set of the Wisdom MCP—resource querying, tool execution, prompt customization, and sampling—while keeping integration overhead minimal. For developers building command‑line tools or integrating AI into automated workflows, this means they can invoke sophisticated language models with the same ease as running a local script.
Key capabilities include:
- SSE compatibility: Handles streaming responses from the Wisdom MCP, allowing real‑time data feeds to terminal UIs or loggers.
- Tool and resource orchestration: Exposes the full set of MCP tools (e.g., file access, API calls) and resources, enabling scripted automation that leverages external data sources.
- Prompt templating: Supports dynamic prompt injection, making it straightforward to tailor AI behavior on the fly.
- Sampling controls: Allows fine‑grained manipulation of temperature, top‑k, and other generation parameters directly from the command line.
Typical use cases involve embedding AI assistants into build pipelines (e.g., generating changelogs or code reviews), creating interactive CLI helpers that query knowledge bases, or orchestrating multi‑step workflows where AI decisions drive subsequent shell commands. Because the gateway operates over stdio, it naturally fits into Docker containers, serverless functions, or any environment where network access is restricted but process communication is available.
What sets Wisdom MCP Gateway apart is its minimal footprint and zero‑configuration design. By leveraging an existing SSE server, it eliminates the need for custom HTTP clients or WebSocket wrappers, reducing maintenance overhead. Developers can drop the gateway into existing projects and immediately gain a robust MCP interface without touching network code, making it an ideal choice for rapid prototyping and production deployments alike.
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