How to Use the Bringg MCP in CrewAI

Q: How do I expose Bringg tools to a CrewAI MCP Server?

Pass your Vinkius URL directly in the agent's mcps list. The framework automatically discovers tools like listfleetdrivers and assigns them to your crew.

Q: Can a CrewAI agent assign a specific driver in Bringg?

Yes. A specialized dispatcher agent can invoke assigndrivertotask to manually override the automated schedule when a high-priority order arrives.

Q: How do multiple CrewAI agents share Bringg task data?

CrewAI uses shared memory, allowing an agent that calls listactivetasks to pass specific task IDs to other agents for updates or cancellation. The MCP Server shares task IDs across your crew seamlessly.

Coordinate specialized agent crews to manage your Bringg delivery operations with CrewAI.

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Connect Bringg MCP to CrewAI

Create your Vinkius account to connect Bringg 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 Bringg with CrewAI

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Run an autonomous dispatch desk with CrewAI

`create_delivery_task` allows your dispatcher agent to instantly book new courier runs. While one agent monitors incoming order emails, a second agent uses this tool to log them in Bringg. This division of labor keeps your queue moving. Your team handles high order volumes without hiring extra administrative staff.

Let specialized agents monitor your active fleet

`list_active_tasks` extracts all pending deliveries currently assigned to your couriers. A dedicated supervisor agent monitors this list to spot late shipments before they affect customers. If a delay is detected, the supervisor agent passes the task ID to a resolver agent. The resolver then updates customer notes to manage expectations.

Keep customer records updated using this MCP Server

`list_customer_crm` pulls historical recipient profiles directly into your CrewAI shared memory. Your customer service agents reference these records to personalize delivery instructions. If a customer changes their delivery preferences, the agent invokes `update_task_details` to update the active order. It ensures your drivers always have the correct gate codes and dropoff notes.

Setup guide

Set up Bringg 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 Bringg tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass your Vinkius URL directly in the agent's `mcps` list. The framework automatically discovers tools like `list_fleet_drivers` and assigns them to your crew.

Yes. A specialized dispatcher agent can invoke `assign_driver_to_task` to manually override the automated schedule when a high-priority order arrives.

CrewAI uses shared memory, allowing an agent that calls `list_active_tasks` to pass specific task IDs to other agents for updates or cancellation. The MCP Server shares task IDs across your crew seamlessly.

This integration supports stdio, SSE, and Streamable HTTP. Use `MCPServerHTTP` from the framework for advanced configurations.

All active driver locations and fleet records are processed in isolated, single-use V8 sandboxes. Every MCP transaction runs in a secure environment where your operational data never touches shared storage.

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