Try Luni

Use Luni with mcp-use

mcp-use connects any LangChain chat model to MCP servers. Give it Luni's URL and key in one config dictionary.

Start buildingRead the docs

Create a key

Luni's hosted MCP server is https://mcp.luni.gg, over Streamable HTTP. Code clients sign in with a workspace API key: create one with full access in your workspace and store it as LUNI_API_KEY. The examples send it in the Authorization: Bearer header; an X-API-Key header works too.

Install the packages below. The example also reads ANTHROPIC_API_KEY for the model; any model the framework supports can drive Luni's tools.

Install
pip install mcp-use langchain-anthropic

Connect your agent

The agent below loads Luni's tools from the MCP server and asks the model to read a page. Tested with mcp-use 1.7.1.

  • Set "auth" to the key. With only a "headers" entry, mcp-use starts an OAuth sign-in in a browser instead.
  • A logged "Method not found" for prompts is harmless: Luni offers tools, not prompts.
  • Set MCP_USE_ANONYMIZED_TELEMETRY=false to turn off mcp-use's telemetry.
mcp-use
import asyncio
import os

from langchain_anthropic import ChatAnthropic
from mcp_use import MCPAgent, MCPClient

config = {
    "mcpServers": {
        "luni": {
            "url": "https://mcp.luni.gg",
            "auth": os.environ["LUNI_API_KEY"],  # sent as a Bearer token
        }
    }
}


async def main():
    client = MCPClient.from_dict(config)
    agent = MCPAgent(llm=ChatAnthropic(model="claude-opus-5-5"), client=client, max_steps=10)
    try:
        print(await agent.run("Scrape https://example.com and summarise the page in one sentence."))
    finally:
        await client.close_all_sessions()


asyncio.run(main())

What the agent can use

The agent sees sixteen tools. luni_scrape reads a URL, luni_search finds pages, luni_map lists a site's URLs and luni_crawl reads many pages of one site. luni_get_source_record returns a structured record from a supported source, and the monitor tools watch a page for changes. luni_get_operation reads stored results in chunks, so large pages never flood the context.

Tools that start paid work take a requestKey. The model fills it in from the tool's schema; repeating a call with the same key returns the saved result without another charge. Discovery, polling and balance checks are free.

Limits and safety

A Free workspace runs one operation at a time and 10 requests a minute, so tell the agent to call Luni tools one at a time. A tool that finds the workspace busy waits briefly, then answers with retryAfterSeconds.

Page content is untrusted data. Keep instructions in your own prompt, not in what Luni returns, and give the agent only the tools a task needs.

Other frameworks

The same server and key work in every MCP client.