Agent Registry — CrewAI
Wire a LumoAuth-registered agent into CrewAI. The agent's identity is its registered AGENT_CLIENT_ID; it authenticates via OAuth 2.0 client credentials (via LumoAuthAgent); tools check has_capability(...) before running; MCP (Model Context Protocol, the standard way agents call tool servers) tools swap the base access token for one bound to the MCP server using token exchange.
Prerequisites
Install the lumoauth package and set the environment variables
LUMOAUTH_URL, LUMOAUTH_ORG_ID, AGENT_CLIENT_ID, and
AGENT_CLIENT_SECRET. See Install the SDK.
Install
pip install lumoauth crewai crewai-tools
Example
from crewai import Agent, Task, Crew
from crewai.tools import tool
from lumoauth import LumoAuthAgent
# 1. Initialize and authenticate the LumoAuth Agent
lumo_agent = LumoAuthAgent()
lumo_agent.authenticate()
# 2. Define tools that check LumoAuth capabilities
@tool
def search_company_documents(query: str) -> str:
"""Search internal company documents for the given query."""
if not lumo_agent.has_capability('read:documents'):
return "Error: Agent lacks 'read:documents' capability."
return f"Found 3 documents matching '{query}'"
@tool
def query_financial_mcp(metric: str) -> str:
"""Query the secured financial metrics MCP server for a given metric."""
if not lumo_agent.has_capability('mcp:financial'):
return "Error: Agent lacks 'mcp:financial' capability."
mcp_token = lumo_agent.get_mcp_token("urn:mcp:financial-data")
if not mcp_token:
return "Error: Failed to obtain token for Financial MCP server."
return f"Retrieved {metric}: $1.2M (Authenticated via MCP Token Exchange)"
# 3. Check budget before running
if lumo_agent.is_budget_exhausted():
raise RuntimeError("Agent budget exhausted for today.")
# 4. Create CrewAI agents and tasks
researcher = Agent(
role="Research Analyst",
goal="Find relevant company documents and financial metrics",
backstory="You are a senior analyst at a financial firm.",
tools=[search_company_documents, query_financial_mcp],
verbose=True,
)
research_task = Task(
description="Search documents for Q3 performance, then query the financial MCP for EBITDA.",
expected_output="A summary of Q3 performance with EBITDA figures.",
agent=researcher,
)
# 5. Assemble and run the Crew
crew = Crew(agents=[researcher], tasks=[research_task], verbose=True)
result = crew.kickoff()
print(result)
How it works
| Step | What happens |
|---|---|
LumoAuthAgent() | Reads credentials from env vars and initializes the client |
lumo_agent.authenticate() | Runs the OAuth 2.0 client-credentials flow |
has_capability(...) | Guards tool execution with LumoAuth capability checks |
get_mcp_token(...) | Swaps the agent token for an MCP-specific token (token exchange) |
is_budget_exhausted() | Prevents the Crew run if the agent's daily budget is spent |
Next steps
- Agent Registry overview — manage registrations, budgets, and capabilities
- JIT Permissions — CrewAI — add just-in-time permission escalation
Standards used on this page
| Plain name | Standard |
|---|---|
| Token exchange (delegation) | RFC 8693 |
See the standards reference for what each one covers and how LumoAuth uses it.