How to Use the Mapflow MCP in CrewAI

Q: How do I connect Mapflow to my CrewAI crew?

Add the Mapflow server URL to the mcps parameter in your Agent definition. CrewAI will handle the connection and expose the tools to your agents automatically.

Deploy autonomous crews in CrewAI to research, analyze, and map satellite data using specialized Mapflow agents.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect Mapflow MCP to CrewAI

Create your Vinkius account to connect Mapflow 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.

GDPR Free for Subscribers

Setup Mapflow with CrewAI

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Multi-agent satellite analysis

Assign a research agent to call `list_projects` while an analysis agent runs `create_processing` on specific coordinates. The agents share context to ensure they stay focused on the same urban area. This collaboration speeds up the entire pipeline. One agent handles the setup, while the other manages the execution and data retrieval.

Autonomous monitoring and response

Use a monitor agent to poll `get_processing_status` in a loop. When the job finishes, it alerts your primary analyst agent to fetch the data with `get_processing_result`. It removes the need for you to watch the progress. The crew manages the entire lifecycle from raw pixels to final GeoJSON output.

Role-based geospatial operations

Define specific roles for your crew members, such as a surveyor who creates projects or an architect who processes imagery. You restrict their access using tool filtering. This keeps your operations organized. Each agent only has the tools it needs to perform its assigned task within the larger project scope.

Setup guide

Set up Mapflow 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 Mapflow tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Add the Mapflow server URL to the `mcps` parameter in your Agent definition. CrewAI will handle the connection and expose the tools to your agents automatically.

Yes. Agents share memory in CrewAI, so once one agent retrieves the result via `get_processing_result`, the rest of the crew can access that data for their tasks.

The MCP server ensures that every request is authorized with your specific token. CrewAI then manages the execution, keeping your analysis parameters isolated from other sessions.

Your crew can monitor the status asynchronously. You can configure a moderator agent to escalate the issue if the processing time exceeds your defined limits.

All project coordinates and resulting vector shapes are transmitted over encrypted channels. Only your authenticated agents have the access required to view or modify your project data.

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