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AI Service Gateway

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Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentica

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About

Enables AI agents to securely access authenticated services (HTTP, SSH, SMTP) without exposing secrets, by acting as a server-side proxy that injects authentication.

README

The AI uses services, not secrets.

A fundamentally new approach to providing AI agents access to authenticated services. Instead of giving the AI a password manager or storing tokens in its context window, this MCP server acts as an opaque Service Gateway.

The Concept

The AI never knows that tokens, passwords, or SSH keys exist. It is only given a list of services and what they can do. When the AI wants to fetch data from GitHub, it asks the Gateway to make an HTTP call to the "github" service. The Gateway injects the authentication server-side.

This completely eliminates the risk of prompt injection extracting tokens, or tokens being leaked in conversation histories and inference server logs.

Features

  • No Secrets in Context: The AI only sees service names (github, nas_ssh, email) and their capabilities.
  • Config-Driven: Define your services and authentication methods in a single gateway.yaml file.
  • Environment Variables: Inject actual secret values using environment variables so they aren't hardcoded in the config.
  • Supported Protocols:
    • http (Bearer, Basic, Custom Headers, Query Params)
    • ssh (Password, Private Key) with allowed command patterns
    • smtp (Email sending)
  • Output Sanitizer: Automatically scrubs all known secret values from tool outputs as a defense-in-depth measure.

Quick Start

1. Create a Configuration

Create a gateway.yaml file:

services:
  github:
    type: http
    base_url: https://api.github.com
    auth:
      type: bearer
      token: ${GITHUB_TOKEN}
    capabilities: [repos, issues]

2. Run the Gateway

export GITHUB_TOKEN="ghp_supersecret..."
python -m ai_gateway check --config gateway.yaml
python -m ai_gateway serve --config gateway.yaml --port 8600

Or using Docker:

docker compose up -d

3. Connect your AI Agent

Configure your MCP client (like OpenCode or Claude Desktop) to connect to http://localhost:8600/sse.

MCP Tools Provided

  1. service_list(): Returns the public manifest of configured services and capabilities.
  2. service_call(service, method, path, ...): Makes an authenticated HTTP request.
  3. service_ssh(service, command): Runs a command over SSH (if allowed by config).
  4. service_email(service, to, subject, body): Sends an email via SMTP.

License

MIT

from github.com/Yormede/ai-service-gateway

Install AI Service Gateway in Claude Desktop, Claude Code & Cursor

Recommended · one command, every IDE
unyly install ai-service-gateway-mcp

Installs into Claude Desktop, Claude Code, Cursor & VS Code — handles npx, uvx and build-from-source repos for you.

First time? Get the CLI: curl -fsSL https://unyly.org/install | sh

Or configure manually

Run in your terminal:

claude mcp add ai-service-gateway-mcp -- uvx --from git+https://github.com/Yormede/ai-service-gateway ai-service-gateway

FAQ

Is AI Service Gateway MCP free?

Yes, AI Service Gateway MCP is free — one-click install via Unyly at no cost.

Does AI Service Gateway need an API key?

No, AI Service Gateway runs without API keys or environment variables.

Is AI Service Gateway hosted or self-hosted?

A hosted option is available: Unyly runs the server in the cloud, no local setup required.

How do I install AI Service Gateway in Claude Desktop, Claude Code or Cursor?

Open AI Service Gateway on unyly.org, pick your client tab (Claude Desktop, Claude Code, Cursor) and press Install — the config is generated automatically, no JSON editing.

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