How to Use the MapQuest MCP in CrewAI

Q: How do I register MapQuest tools with a CrewAI agent?

Pass the Vinkius URL directly in your CrewAI Agent's mcps list to load MapQuest. Your CrewAI agent will automatically discover tools like geocodeaddress and start calling them during tasks.

Q: Can I limit which MapQuest tools a CrewAI agent can use from the MCP Server?

Yes, use the MCPServerHTTP class from crewai.mcp to filter which MapQuest tools are exposed. This restricts a specific CrewAI agent to only use searchpointsofinterest while keeping routing tools hidden.

Arm your CrewAI agent teams with this MapQuest MCP Server to automate complex delivery planning and local research.

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Connect MapQuest MCP to CrewAI

Create your Vinkius account to connect MapQuest 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 MapQuest with CrewAI

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Coordinate CrewAI agent fleets with this MCP Server

The `get_directions` tool allows your CrewAI delivery agent to plan routes while your analyst agent calculates fuel costs. Because CrewAI supports shared memory, the delivery agent writes the MapQuest routing coordinates to the crew's memory, where the rest of the team accesses them. This collaborative CrewAI setup removes the need for a single agent to handle both heavy math and MapQuest logistics planning. Each agent focuses on its role, passing MapQuest location data back and forth to build a complete dispatch plan.

Automate territory research in CrewAI with MapQuest

The `search_points_of_interest` tool gives your CrewAI research agent the ability to map out competitors using MapQuest coordinates. Sweeping a target area, the agent identifies business dense zones and feeds the raw coordinates to the mapping agent. Your mapping agent then uses MapQuest's `get_static_map_url` to generate visual reports for human review. CrewAI handles the entire discovery process autonomously, delivering a polished map of local businesses without manual input.

Resolve shipping errors autonomously in CrewAI

The `geocode_address` tool helps your CrewAI customer service agent check delivery details before orders are finalized. Running this on our managed MCP infrastructure means your agents get fast lookups. If an address is flagged as invalid, the agent uses MapQuest's `reverse_geocode` to find the nearest valid physical location and updates the system. By delegating this to a CrewAI team, you automate the tedious process of correcting typos. The agents resolve MapQuest coordinates, check the map, and update your database without human intervention.

Setup guide

Set up MapQuest 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 MapQuest tools as needed.

crew.py

from crewai import Agent, Task, Crew

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

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

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

Pass the Vinkius URL directly in your CrewAI Agent's `mcps` list to load MapQuest. Your CrewAI agent will automatically discover tools like `geocode_address` and start calling them during tasks.

Yes, use the `MCPServerHTTP` class from `crewai.mcp` to filter which MapQuest tools are exposed. This restricts a specific CrewAI agent to only use `search_points_of_interest` while keeping routing tools hidden.

CrewAI agents share MapQuest route data through CrewAI's short-term memory. When one agent calls `get_directions`, the output is stored in the shared context, allowing subsequent CrewAI agents to analyze the travel steps.

The CrewAI Python client supports stdio, SSE, and Streamable HTTP transports for MapQuest. Vinkius manages the connection details, leaving your CrewAI script with a single HTTP endpoint.

All coordinate pairs and address search queries sent by CrewAI go over encrypted HTTPS connections to MapQuest. We do not store your geographic coordinates or route paths, ensuring your CrewAI logistics data remains confidential.

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