Mapbox MCP Server for LlamaIndex 8 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mapbox as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
mcp_tool_spec = McpToolSpec(client=mcp_client)
tools = await mcp_tool_spec.to_tool_list_async()
agent = FunctionAgent(
tools=tools,
llm=OpenAI(model="gpt-4o"),
system_prompt=(
"You are an assistant with access to Mapbox. "
"You have 8 tools available."
),
)
response = await agent.run(
"What tools are available in Mapbox?"
)
print(response)
asyncio.run(main())
* 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.
LlamaIndex agents combine Mapbox tool responses with indexed documents for comprehensive, grounded answers. Connect 8 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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 LlamaIndex 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 LlamaIndex via MCP
Follow these steps to integrate the Mapbox MCP Server with LlamaIndex.
Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save to agent.py and run: python agent.py
Explore tools
The agent discovers 8 tools from Mapbox
Why Use LlamaIndex with the Mapbox MCP Server
LlamaIndex provides unique advantages when paired with Mapbox through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mapbox tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mapbox tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mapbox, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mapbox tools were called, what data was returned, and how it influenced the final answer
Mapbox + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mapbox MCP Server delivers measurable value.
Hybrid search: combine Mapbox real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mapbox to augment indexed data with live information before generating user-facing responses
Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Mapbox for fresh data
Analytical workflows: chain Mapbox queries with LlamaIndex's data connectors to build multi-source analytical reports
Mapbox MCP Tools for LlamaIndex (8)
These 8 tools become available when you connect Mapbox to LlamaIndex 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 LlamaIndex
Ready-to-use prompts you can give your LlamaIndex 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 LlamaIndex
Common issues when connecting Mapbox to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMapbox + LlamaIndex FAQ
Common questions about integrating Mapbox MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Mapbox with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect Mapbox to LlamaIndex
Get your token, paste the configuration, and start using 8 tools in under 2 minutes. No API key management needed.