How to Use the Geoapify MCP in CrewAI

Coordinate teams of specialized CrewAI agents to analyze delivery zones, calculate routes, and optimize fleet dispatching.

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Connect Geoapify MCP to CrewAI

Create your Vinkius account to connect Geoapify 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 Geoapify with CrewAI

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Perplexity

Coordinate fleet dispatching using CrewAI

`route_planner` coordinates complex multi-stop delivery sequences for your CrewAI agent team. Because CrewAI agents share memory, they coordinate these calls without repeating work. In CrewAI, one agent handles the math, another checks the traffic, and a third alerts the driver, creating an autonomous dispatch desk.

Map competitor density with this MCP Server

`calculate_isoline` identifies regional travel-time boundaries directly within your CrewAI workflow. This CrewAI multi-agent setup automates geographic market research. Your CrewAI agents analyze the density of points of interest, compile the results, and draft expansion reports without any manual scraping.

Validate address lists autonomously

`create_batch_job` allows a CrewAI coordinator agent to process up to one thousand addresses in a single run. If any address fails to resolve, a CrewAI cleanup agent uses `geocode_autocomplete` to suggest corrections. The entire CrewAI pipeline runs sequentially, delivering clean coordinates to your database without human oversight.

Setup guide

Set up Geoapify 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 Geoapify tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Agents pass output coordinates and travel matrices through CrewAI's shared memory. A routing agent can calculate a path using `calculate_route` and save the JSON directly for the dispatch agent to use.

Yes, you can use CrewAI's tool filter configuration to expose only specific endpoints. For example, you can give your research agent access to `search_places` while blocking it from expensive batch routing.

Yes, in a hierarchical setup, your manager agent can delegate complex tasks like `calculate_route_matrix` to specialized worker agents. This keeps your main agent focused on high-level logistics decisions.

You simply pass the Vinkius MCP endpoint URL into your agent's configuration. CrewAI automatically connects, discovers the seventeen available tools, and makes them available to your team.

This integration processes customer coordinates and address strings strictly in memory within an isolated V8 sandbox. No personal location data is ever written to disk or shared with external agents, keeping your logistics pipeline private.

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