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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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Описание

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

Установка AI Service Gateway

У этого сервера нет опубликованного пакета — он собирается из исходников. Открой репозиторий и следуй инструкции в README.

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

FAQ

AI Service Gateway MCP бесплатный?

Да, AI Service Gateway MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для AI Service Gateway?

Нет, AI Service Gateway работает без API-ключей и переменных окружения.

AI Service Gateway — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить AI Service Gateway в Claude Desktop, Claude Code или Cursor?

Открой AI Service Gateway на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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