MCP

Agents that support remote MCP servers can call Search, Contents and Research as tools, with nothing to install. The server is /v1/mcp on the API host, over Streamable HTTP with your API key as a Bearer token.

Markdown

Command-line agents

Set AREX_API_KEY in your shell, then add the server with your agent's command. Claude Code and Kimi Code save the key into their configuration when the command runs.

codex mcp add arex --url https://api.arex-research.com/v1/mcp \
  --bearer-token-env-var AREX_API_KEY

Other clients

Clients configured with JSON use this entry, for example ZCode (Settings → MCP Servers → full configuration) or WorkBuddy (~/.workbuddy/mcp.json). Replace YOUR_API_KEY with your key.

mcp.json

{
  "mcpServers": {
    "arex": {
      "type": "http",
      "url": "https://api.arex-research.com/v1/mcp",
      "headers": { "Authorization": "Bearer YOUR_API_KEY" }
    }
  }
}

Agent frameworks

Pi SDK, LangGraph and other frameworks can load the tools straight from the server.

LangGraph

import asyncio
import os
from langchain_mcp_adapters.client import MultiServerMCPClient
from langgraph.prebuilt import create_react_agent

async def main():
    client = MultiServerMCPClient({
        "arex": {
            "transport": "streamable_http",
            "url": "https://api.arex-research.com/v1/mcp",
            "headers": {"Authorization": f"Bearer {os.environ['AREX_API_KEY']}"},
        }
    })
    tools = await client.get_tools()
    agent = create_react_agent("openai:gpt-4.1", tools=tools)
    result = await agent.ainvoke({
        "messages": [{"role": "user", "content": "Find recent research on agent evaluation."}]
    })
    print(result["messages"][-1].content)

asyncio.run(main())

Tools

Each tool takes the same fields as its API request.

Tool	API operation
arex_search	POST /v1/search
arex_contents	POST /v1/contents
arex_research	POST /v1/research

Results and errors

A tool returns the API's JSON response. A failed call returns a tool error containing the API's error object. Rate limits are the same as the API's. arex_research waits until the Run ends.

MCP