Using AI tools with Elastic SIP Trunking

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You can use AI tools to facilitate the generation of code that you can use with Sinch's Elastic SIP Trunking API.

While there are any number of ways to make use of AI tools, we provide guidance on using Sinch's documentation MCP server to utilize our documentation. We also have an MCP server specifically for Elastic SIP Trunking functionality.

Elastic SIP Trunking MCP Server

A Model Context Protocol (MCP) server for managing Sinch EST - enables AI assistants to manage SIP trunks, phone numbers, ACLs, and perform SIP call testing.

Requires Node.js >= 18

Quick Start

# Install globally from npm
npm install -g @sinch/est-mcp

# Or run directly with npx
npx @sinch/est-mcp

# Configure credentials
mkdir -p ~/.config/est-mcp
cat > ~/.config/est-mcp/credentials << 'EOF'
SINCH_PROJECT_ID=your-project-id
SINCH_ACCESS_KEY_ID=your-access-key-id
SINCH_ACCESS_KEY_SECRET=your-access-key-secret
EOF
chmod 600 ~/.config/est-mcp/credentials

Features

44 tools across 8 categories:

AI Context Injection

Start every session with:

get_operator_guide({})

This loads the complete Sinch EST mental model into context.

Example Use Cases

Set up a trunk:

"Create a trunk 'my-trunk' with hostname 'my-trunk'"

Test connectivity:

"Run a loopback test on trunk X with phone number +15551234567"

Receive calls:

"Set up a registered endpoint and wait for an inbound call"

Installation

Add to your MCP config (claude_desktop_config.json):

{
  "mcpServers": {
    "sinch-est": {
      "command": "npx",
      "args": ["@sinch/est-mcp"]
    }
  }
}

Using Sinch's documentation MCP server

In order to generate code samples using AI tools, you may connect directly to Sinch's documentation MCP server. This will make several tools available to your system that facilitate endpoint identification, information lookups, and general context-setting.

The tools are described in the table below. Note that, while you may not have to explicitly call out these tools when designing your prompt (or using the prompts we provide later in this document), you must still ensure the tools are activated in whatever AI environment you work in:

Connecting to the MCP server

You may connect to our documentation MCP server by clicking the Connect MCP button:

Alternatively, copy the following URL and add it to your AI tool: https://developers.sinch.com/mcp. Some examples of how to add the Sinch documentation MCP server tools to your AI solution are detailed in the tabs below:

{
  "mcpServers": {
    "sinch-mcp": {
      "url": "https://developers.sinch.com/mcp"
    }
  }
}

Using Sinch's skills to streamline AI usage

Skills files (or "skills") provide AI-specific guidance, hints, troubleshooting tips, and use-case information that can help your AI agents better understand various topics. They are especially helpful when using AI tools and agents in coding environments.

Sinch provides skills that help your AI solution navigate our documentation, generate code samples, and perform API calls.

To view Sinch's skills files, visit the Sinch Skills GitHub repo. The sub-sections below provide concise installation, usage, and structural information. For a more thorough explanation of Sinch Skills, see our dedicated developer document on Sinch Skills.

Installing Sinch skills

To make use of our skills files, you must install them in your coding environment. Information on ways to install Sinch's skills files are included on the tabs below:

Using Sinch skills

Once Sinch's skills have been installed, your AI tool or agent should make use of them automatically. AI tools and agents will consult the skills files whenever you make a request.

Sinch skills structure

Each skill lives in its own folder under skills/. The SKILL.md file contains YAML frontmatter (name and description) and markdown sections including Overview, Getting Started, Key Concepts, Common Patterns, Gotchas & Best Practices, and Links sections.

skills/
  <product>/
    SKILL.md            # Main skill file (required)
    scripts/            # Optional helper scripts
    references/         # Optional detailed reference material
    assets/             # Optional images or other assets