How do I get a Mapbox Access Token?

Sign up for a free account at [**account.mapbox.com**](https://account.mapbox.com/access-tokens/), go to **Access Tokens** and create a new token. Copy the token — it starts with `pk.`.

Can I get driving directions?

Yes! Use get_directions with coordinates and the 'driving' profile. Returns route distance, duration, step-by-step instructions and geometry. Also supports 'walking' and 'cycling' profiles.

What are isochrones used for?

Isochrones show the area reachable within a specific time or distance from a location. Useful for delivery zones, commute analysis, real estate proximity and accessibility planning.

Mapbox MCP Server for CrewAI 8 tools — connect in under 2 minutes

Name: Mapbox
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 8 Tools Framework

Connect your CrewAI agents to Mapbox through Vinkius, pass the Edge URL in the `mcps` parameter and every Mapbox tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

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python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Mapbox Specialist",
    goal="Help users interact with Mapbox effectively",
    backstory=(
        "You are an expert at leveraging Mapbox tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Mapbox "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 8 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Mapbox MCP Server

Connect to Mapbox and access world-class location services through natural conversation.

When paired with CrewAI, Mapbox becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Mapbox tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

What you can do

Geocoding — Convert addresses, place names and POIs to coordinates and structured addresses
Reverse Geocoding — Convert GPS coordinates to human-readable addresses
Directions — Get driving, walking and cycling routes with step-by-step instructions
Distance Matrix — Calculate travel times and distances between multiple locations
Isochrones — Show areas reachable within a specific time or distance
Elevation — Get elevation data for any coordinates
Static Maps — Generate map image URLs for any location
Nearby Search — Find points of interest near coordinates

The Mapbox MCP Server exposes 8 tools through the Vinkius. Connect it to CrewAI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

How to Connect Mapbox to CrewAI via MCP

Follow these steps to integrate the Mapbox MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 8 tools from Mapbox

Why Use CrewAI with the Mapbox MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Mapbox through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Mapbox + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Mapbox MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Mapbox for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Mapbox, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Mapbox tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Mapbox against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Mapbox MCP Tools for CrewAI (8)

These 8 tools become available when you connect Mapbox to CrewAI via MCP:

geocode

Returns the place name, coordinates, address components (street, city, state, postal code, country), place type and bounding box. Use this to find coordinates for use with directions, distance matrix and other tools. Convert a place name to coordinates

get_directions

Returns route distance, duration, geometry, step-by-step instructions and maneuver data. Supports driving (mapbox/driving), walking (mapbox/walking) and cycling (mapbox/cycling) profiles. Coordinates are semicolon-separated "longitude,latitude" pairs (e.g. "-77.0365,38.8977;-74.006,40.7128" for DC to NYC). Get driving, walking or cycling directions

get_distance_matrix

Useful for logistics, delivery routing and travel planning. Returns a matrix of durations (seconds) and distances (meters) between all source-destination pairs. Coordinates are semicolon-separated "lon,lat" pairs. Supports driving, walking and cycling profiles. Get travel times between multiple origins and destinations

get_elevation

Useful for hiking, aviation and geographic research. Coordinates are comma-separated "lon,lat" pairs. Get elevation for coordinates

get_isochrone

Returns polygon contours showing the reachable area. Useful for determining service areas, commute ranges and accessibility. Coordinates are "lon,lat". Get reachable area within a time or distance

get_static_map

Returns a direct image URL that can be used in markdown, HTML or downloaded. Supports customizable zoom level and image dimensions. Generate a static map image for a location

reverse_geocode

Returns the nearest address, city, state, country and other location details. Convert coordinates to an address

search_nearby

Returns nearby places with names, addresses, categories, distances and coordinates. Use query to search for specific types of places (e.g. "restaurant", "gas station", "hotel"). Search for places near coordinates

Example Prompts for Mapbox in CrewAI

Ready-to-use prompts you can give your CrewAI agent to start working with Mapbox immediately.

"Geocode '1600 Pennsylvania Ave, Washington DC'."

"Get driving directions from San Francisco to Los Angeles."

"Show me the area reachable within 15 minutes driving from Times Square, NYC."

Troubleshooting Mapbox MCP Server with CrewAI

Common issues when connecting Mapbox to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Mapbox + CrewAI FAQ

Common questions about integrating Mapbox MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.