For AI client integration (Claude Code, Cursor, etc.), connect to the MCP server at https://modelgates.ai/docs/_mcp/server.
LangChain
Using LangChain
LangChain provides a standard interface for working with chat models. You can use ModelGates with LangChain using the dedicated ChatModelGates integration packages. For more details on LangChain's model interface, see the LangChain Models documentation.
Resources:
- LangChain Python integration: langchain-modelgates on PyPI
- LangChain JavaScript integration: @langchain/modelgates on npm
typescript
import { ChatModelGates } from "@langchain/modelgates"; const model = new ChatModelGates( "anthropic/claude-sonnet-4.6", { temperature: 0.8 }); // Example usageconst response = await model.invoke([ { role: "system", content: "You are a helpful assistant." }, { role: "user", content: "Hello, how are you?" },]);python
from langchain_openrouter import ChatModelGates model = ChatModelGates( model="anthropic/claude-sonnet-4.6", temperature=0.8,) # Example usageresponse = model.invoke("What NFL team won the Super Bowl in the year Justin Bieber was born?")print(response.content)For full documentation — including streaming, tool calling, structured output, reasoning, multimodal inputs, provider routing, and more — see the LangChain integration guides: