How to Use the ArcGIS MCP in CrewAI

Scale your autonomous operations by giving your CrewAI agents full control over ArcGIS spatial analysis tools.

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Connect ArcGIS MCP to CrewAI

Create your Vinkius account to connect ArcGIS 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 ArcGIS with CrewAI

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Autonomous mapping with CrewAI

Assign a researcher agent to use `find_address_candidates` for collecting location data. A separate analyst agent then takes those results to map out regional coverage. This team-based approach handles large-scale data tasks. You set the goal, and the crew coordinates the execution of each spatial query.

Fleet management for CrewAI crews

Deploy a specialized agent to manage your fleet using `solve_vehicle_routing`. It consumes your order list and pushes the optimized route back to your operations team. The agents share memory, so your logistics agent knows exactly where the driver is located. It maintains a constant loop of planning and execution.

Geographic monitoring in CrewAI

Set up a monitor agent that periodically runs `reverse_geocode` on your active assets. It checks for location drift and alerts the rest of the crew if an asset moves out of range. You avoid human intervention by defining these persistent monitoring tasks. The MCP server provides the tools, and the crew handles the logic.

Setup guide

Set up ArcGIS 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 ArcGIS tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the server URL directly into the agent configuration. You can filter which tools are available so only the relevant agents access spatial data.

Yes, by using shared memory. One agent performs the geocode, and the next agent uses that coordinate data to build a route.

The server responds quickly. Since the agents operate asynchronously, your crew continues working on other tasks while waiting for the spatial results.

Use the tool filtering feature in the SDK. This limits the agent to only the specific tools you want it to use, like geocoding or routing.

Your data remains in a hardened V8 isolate sandbox. We enforce strict memory boundaries so that your sensitive address records cannot be accessed by other users.

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