How to Use the AgentOps (Agent Telemetry and Monitoring) MCP in CrewAI

Q: How do I register the AgentOps (Agent Telemetry and Monitoring) MCP Server in CrewAI?

Pass your Vinkius HTTP URL directly into the mcps array when defining your CrewAI Agent. The framework automatically detects the server's tools and makes them available to the agent.

Q: Can a supervisor agent in CrewAI use AgentOps (Agent Telemetry and Monitoring) to monitor other agents?

Yes, you can assign the gettrace and getspan tools specifically to a supervisor agent. This allows it to programmatically inspect the execution details of subordinate agents.

Monitor multi-agent crew execution and trace agent collaboration with AgentOps and CrewAI.

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Connect AgentOps (Agent Telemetry and Monitoring) MCP to CrewAI

Create your Vinkius account to connect AgentOps (Agent Telemetry and Monitoring) to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup AgentOps (Agent Telemetry and Monitoring) with CrewAI

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Trace CrewAI agent handoffs

The `get_trace` tool maps how tasks move between your specialized CrewAI agents during execution. When a researcher agent hands off data to a writer agent, this tool exposes the exact communication payload. Your supervisor agent can query this trace to confirm that the writer received the correct context. If the handoff was incomplete, the supervisor redirects the task back to the researcher.

Retrieve task metrics via MCP Server

The `get_trace_metrics` tool extracts latency and token usage for specific CrewAI tasks. This allows you to measure the resource consumption of each individual agent in your crew. By analyzing these metrics programmatically, your crew can dynamically reallocate tasks to cheaper models if a specific agent starts consuming too many tokens.

Debug individual CrewAI agent steps

The `get_span` tool inspects the precise execution steps of a single agent within your CrewAI team. When one agent stalls the entire sequential pipeline, this MCP Server tool finds the exact tool call that caused the bottleneck. Your moderator agent uses this data to terminate hung processes and restart the task with modified parameters, keeping the rest of the crew moving.

Setup guide

Set up AgentOps (Agent Telemetry and Monitoring) MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke AgentOps (Agent Telemetry and Monitoring) tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="AgentOps (Agent Telemetry and Monitoring) Analyst",
    goal="Access and analyze AgentOps (Agent Telemetry and Monitoring) data via MCP.",
    backstory="Expert analyst with direct AgentOps (Agent Telemetry and Monitoring) access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent AgentOps (Agent Telemetry and Monitoring) transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

Get your connection token →

Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="AgentOps (Agent Telemetry and Monitoring) Analyst",
        goal="Access and analyze AgentOps (Agent Telemetry and Monitoring) data via MCP.",
        backstory="Expert analyst with direct AgentOps (Agent Telemetry and Monitoring) access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent AgentOps (Agent Telemetry and Monitoring) transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

    crew = Crew(agents=[agent], tasks=[task])
    result = crew.kickoff()
    print(result)

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by AgentOps. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about AgentOps (Agent Telemetry and Monitoring) MCP in CrewAI

Pass your Vinkius HTTP URL directly into the `mcps` array when defining your CrewAI Agent. The framework automatically detects the server's tools and makes them available to the agent.

Yes, you can assign the `get_trace` and `get_span` tools specifically to a supervisor agent. This allows it to programmatically inspect the execution details of subordinate agents.

Yes, as tasks progress sequentially through your crew, the server tracks each step. You can query `get_trace_metrics` at the end of the pipeline to see the cumulative performance of the entire run.

Vinkius centralizes your credentials in a secure, zero-trust sandbox. Your distributed CrewAI agents access the telemetry tools via a single authenticated endpoint without exposing raw API keys.

Your agent telemetry, trace logs, and execution spans remain stored in your AgentOps account. The Vinkius server only acts as an ephemeral bridge, processing queries in memory without writing any data to disk.

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