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

Client SDKs

The Client SDKs give you a thin, type-safe layer over the ModelGates REST API. It handles authentication, request validation, and response typing so you can call any of 300+ models with a single function call — no boilerplate, no provider-specific quirks.

Install instructions

LanguagePackageInstall
TypeScript@modelgates/sdknpm install @modelgates/sdk
Pythonmodelgatespip install modelgates
Gogo-sdkgo get github.com/ModelGatesTeam/go-sdk

All three SDKs are auto-generated from the ModelGates OpenAPI spec, so new models, parameters, and endpoints appear immediately after each API release.

When to use the Client SDKs

Choose the Client SDKs when you need direct, efficient access to model inference and want to manage your own application logic:

  • Single-turn completions — send a prompt, get a response
  • Streaming responses — real-time token-by-token output
  • Embeddings, video, and rerank — generate vector representations, create videos, and rerank results
  • API key and credit management — programmatic control over your account
  • Custom orchestration — you handle conversation loops, tool dispatch, and state yourself

The Client SDKs are intentionally lean. It mirrors the ModelGates API surface 1:1 with full type safety, so there is no abstraction to fight when you need fine-grained control.

If you want higher-level primitives for building agents — multi-turn loops, tool definitions, stop conditions, and conversation state management — see the Agent SDK instead.

Quick example

typescript
import ModelGates from '@modelgates/sdk'; const client = new ModelGates({  apiKey: process.env.MODELGATES_API_KEY,}); const response = await client.chat.send({  model: 'openai/gpt-5.2',  messages: [    { role: 'user', content: 'Explain quantum computing in one sentence.' },  ],}); console.log(response.choices[0].message.content);
python
from modelgates import ModelGatesimport os with ModelGates(api_key=os.getenv("MODELGATES_API_KEY")) as client:    response = client.chat.send(        model="openai/gpt-5.2",        messages=[            {"role": "user", "content": "Explain quantum computing in one sentence."}        ],    )     print(response.choices[0].message.content)

Client SDKs vs Agent SDK

Client SDKsAgent SDK
FocusLean API client — mirrors the REST API with full type safetyAgentic primitives — multi-turn loops, tools, stop conditions
Use whenYou want direct model calls and manage orchestration yourselfYou want built-in agent loops, tool execution, and state management
Conversation stateYou manage itManaged for you via callModel
Tool executionYou dispatch tool callsAutomatic with the tool() helper
LanguagesTypeScript, Python, GoTypeScript

Next steps