For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://modelgates.ai/docs/_mcp/server.

Usage for Agents

Give your AI coding assistant the knowledge to work with the ModelGates Agent SDK by installing our official modelgates-typescript-sdk skill from the ModelGatesTeam/skills repository.

The skill covers both the Agent SDK (@modelgates/agent) and the Client SDKs (@modelgates/sdk). When working with the Agent SDK, your AI assistant will focus on the agent features: callModel, tool() definitions, stop conditions, streaming, and multi-turn conversations.

Quick Start

Claude Code

/plugin marketplace add ModelGatesTeam/skills/plugin install modelgates@modelgates

Cursor

Add via Settings > Rules > Add Rule > Remote Rule (Github) with ModelGatesTeam/skills.

GitHub CLI

Requires GitHub CLI v2.90.0+. Works with Claude Code, Cursor, OpenCode, Codex, Gemini CLI, Windsurf, and many more agents:

gh skill install ModelGatesTeam/skills modelgates-typescript-sdk

Supported AI Coding Assistants

The skill works with any AI coding assistant that supports the Agent Skills standard:

What the Skill Provides

Once installed, your AI coding assistant will have knowledge of:

• callModel API - The recommended approach for making AI model calls with full type safety and streaming support
• Tool Definitions - Creating tools with the tool() helper and Zod schemas
• Stop Conditions - Controlling agent loop termination with stepCountIs, maxCost, and more
• Streaming - Real-time token output within agent steps
• Multi-turn Conversations - Managing conversation state across turns
• Dynamic Parameters - Changing model, temperature, or tools between turns

Example Usage

After installing the skill, your AI assistant can help you with tasks like:

"Help me set up an ModelGates agent"

The assistant will know to use:

import { callModel } from '@modelgates/agent'; const response = await callModel({  model: 'anthropic/claude-sonnet-4',  messages: [    { role: 'user', content: 'Hello!' }  ]});

"Add a tool to my agent"

The assistant understands the tool pattern:

import { callModel, tool } from '@modelgates/agent';import { z } from 'zod'; const searchTool = tool({  name: 'search',  description: 'Search the web',  inputSchema: z.object({ query: z.string() }),  execute: async ({ query }) => {    return { results: ['...'] };  },}); const result = await callModel({  model: 'anthropic/claude-sonnet-4',  messages: [{ role: 'user', content: 'Search for TypeScript best practices' }],  tools: [searchTool],});

Repository

The skill source is available at: github.com/ModelGatesTeam/skills

Contributions and feedback are welcome.