How to Use the Leiga MCP in CrewAI

Deploy autonomous agent crews with CrewAI using the Leiga MCP Server to manage agile sprints without human intervention.

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Connect Leiga MCP to CrewAI

Create your Vinkius account to connect Leiga 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 Leiga with CrewAI

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Autonomous sprint planning with CrewAI

Assign a dedicated planner agent to your crew. It constantly polls for new requirements to keep your backlog clean. Your agents use `list_tasks` to gather data, then `create_task` to populate the sprint with actionable items.

Collaborative agent crews using CrewAI

Share project context across specialized agents. One agent investigates team capacity while another handles the actual task prioritization. Both agents access `list_team_members` and `get_project_details` to ensure the crew makes informed, data-driven decisions.

Hierarchical task execution in CrewAI

Set up a manager agent to oversee task completion. It delegates work to individual agents and verifies the output against project goals. Managers invoke `list_workflows` to track progress and use `get_task_details` to confirm that the team meets every deadline.

Setup guide

Set up Leiga 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 Leiga tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

    task = Task(
        description="List recent Leiga 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 Leiga. 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 Leiga MCP in CrewAI

Pass the server URL directly into your Agent mcps list. The framework handles the connection, allowing your agents to start using the tools immediately.

They can. By combining multiple tools, your agents work in cycles to monitor projects and create tasks without you needing to intervene.

All interactions pass through the Vinkius gateway with ephemeral authentication. Your internal task descriptions never leave the secure tunnel during agent collaboration.

It will. You can filter tool exposure to keep your agents focused, preventing unnecessary API calls and keeping your sprint data clean.

It does. You can choose between stdio, SSE, or Streamable HTTP to maintain a stable link between your agents and the Leiga project environment.

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