How to Use the DJI Developer MCP in CrewAI

Q: How do I add the DJI Developer MCP Server to a CrewAI agent?

Include the server URL in your agent's mcps configuration list. This grants the agent access to all ten DJI tools, allowing it to collaborate with other crew members.

Deploy specialized agent crews to manage DJI drone fleets using the DJI Developer MCP Server.

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Connect DJI Developer MCP to CrewAI

Create your Vinkius account to connect DJI Developer 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 DJI Developer with CrewAI

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Perplexity

DJI Developer fleet coordination for CrewAI

Assign a 'Fleet Monitor' agent to watch your drones using `list_devices` and `get_device_status`. This agent maintains a constant awareness of which units are online and ready for deployment. It creates a clear division of labor within your crew. The monitor watches, while other agents take action based on the data provided.

Autonomous mission planning with CrewAI

Give your agents the ability to plan flights by querying `list_waylines`. Your 'Mission Planner' agent selects the best route, and then calls `create_mission` to execute the flight. This removes the need for human input during routine operations. Your crew handles the entire cycle from route selection to final mission deployment.

Multi-agent DJI Developer media analysis

Let your crew handle post-flight analysis by using `list_media_files` to gather captured assets. An 'Analyst' agent can then process the metadata and organize your files for reporting. It ensures your data pipeline remains organized without human intervention. Your agents manage the handoff from the drone to your storage systems automatically.

Setup guide

Set up DJI Developer 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 DJI Developer tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Include the server URL in your agent's `mcps` configuration list. This grants the agent access to all ten DJI tools, allowing it to collaborate with other crew members.

Yes. CrewAI uses shared memory, meaning one agent can fetch data via `get_device_osd` and pass that information to another agent for decision-making.

Data is isolated within the MCP server's ephemeral sandbox. The agents only ever see the specific telemetry responses you authorize through the tool filter.

They work perfectly. You can assign specific tools to specific agents, ensuring that only your 'Mission Manager' has the authority to execute `create_mission`.

The server provides all the necessary hooks—from status checks to mission execution—to allow your agents to run complex flight operations without human oversight.

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