Try Luni

Use Luni with CrewAI

Attach Luni to a CrewAI agent with the built-in mcps setting. Each tool call opens its own connection.

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 "crewai[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 crewai 1.15.37.

  • Tool names are prefixed with the server, for example mcp_luni_gg_luni_scrape.
  • The crewai[anthropic] extra lets anthropic/ models use CrewAI's own Anthropic client.
  • crewai-tools' MCPServerAdapter also works; give it "transport": "streamable-http", because it defaults to SSE.
CrewAI
import os

from crewai import LLM, Agent, Crew, Task
from crewai.mcp import MCPServerHTTP

luni = MCPServerHTTP(
    url="https://mcp.luni.gg",
    headers={"Authorization": f"Bearer {os.environ['LUNI_API_KEY']}"},
)

researcher = Agent(
    role="Web researcher",
    goal="Answer questions with live web data",
    backstory="You read web pages with Luni's tools.",
    mcps=[luni],
    llm=LLM(model="anthropic/claude-opus-5-5"),
)
task = Task(
    description="Scrape https://example.com and summarise the page in one sentence.",
    expected_output="One sentence.",
    agent=researcher,
)
print(Crew(agents=[researcher], tasks=[task]).kickoff())

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.