AI Service Gateway MCP
Allows making authenticated HTTP requests to GitHub API for managing repositories, issues, and other resources.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@AI Service Gateway MCPcall github service to list my repositories"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.
AI Service Gateway MCP
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.
Related MCP server: Access
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.yamlfile.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 patternssmtp(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 8600Or using Docker:
docker compose up -d3. Connect your AI Agent
Configure your MCP client (like OpenCode or Claude Desktop) to connect to http://localhost:8600/sse.
MCP Tools Provided
service_list(): Returns the public manifest of configured services and capabilities.service_call(service, method, path, ...): Makes an authenticated HTTP request.service_ssh(service, command): Runs a command over SSH (if allowed by config).service_email(service, to, subject, body): Sends an email via SMTP.
License
MIT
This server cannot be installed
Maintenance
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If you are the server author, to access and configure the admin panel.
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