How to Use the Reportei MCP in CrewAI

Q: Can CrewAI agents write Reportei reports?

Your agents can execute createreport as part of their task sequence. You define the parameters and the agents handle the rest.

Deploy a specialized marketing crew using the Reportei MCP Server in CrewAI.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers — Included with Plan

Connect Reportei MCP to CrewAI

Create your Vinkius account to connect Reportei to CrewAI — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

GDPR Included with Plan

Setup Reportei with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity Vinkius runs on Gemini

Gemini

Grok

Specialized marketing crews for CrewAI

Assign a researcher agent to `get_reportei_metrics` while your analyst agent summarizes the findings. This collaboration happens within a shared memory space. Your crew stays focused on specific tasks. One agent handles data collection, another handles the interpretation, and the final agent reports the outcome.

Automated reporting crews with CrewAI

Let your crew manage the reporting pipeline. By using `list_reportei_reports` and `create_report`, the agents ensure every client gets their update on time. They work autonomously once you set the goals. If they hit a snag, they escalate the issue to your human supervisor or log it via `add_reportei_event`.

Monitor client performance in CrewAI

Set your monitor agent to keep tabs on project health. It periodically calls `list_reportei_projects` to ensure nothing is overlooked. If the monitor detects an issue, it triggers the rest of the crew. They can verify integration status using `list_integrations` and report back to you.

Setup guide

Set up Reportei 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 Reportei tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

task = Task(
    description="List recent Reportei 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="Reportei Analyst",
        goal="Access and analyze Reportei data via MCP.",
        backstory="Expert analyst with direct Reportei access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Reportei 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 Reportei. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect Reportei now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Reportei MCP in CrewAI

Include the server URL in your agent configuration. The agents will automatically discover and use the Reportei tools as needed.

Your agents can execute `create_report` as part of their task sequence. You define the parameters and the agents handle the rest.

They use shared memory to pass results between tasks. Once one agent retrieves metrics, the others can act on that information immediately.

Yes, you can have a lead agent orchestrate the tool calls. The other agents execute the specific Reportei functions and report back to the lead.

Your data is only accessed through the Vinkius-managed endpoint. We keep your Reportei API keys hidden, ensuring the agents only interact with the data they are permitted to see.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript