Mapbox (Maps & Geospatial) MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Mapbox (Maps & Geospatial) 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 (Maps & Geospatial). "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Mapbox (Maps & Geospatial)?"
)
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 (Maps & Geospatial) MCP Server
Connect your Mapbox account to any AI agent and take full control of world-class geocoding, navigation, and geospatial intelligence through natural conversation.
LlamaIndex agents combine Mapbox (Maps & Geospatial) tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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 & Search — Convert text addresses into precise geographic coordinates (GeoJSON) or perform reverse lookups to identify locations from GPS points directly
- Advanced Routing — Calculate driving, walking, or cycling directions between up to 25 points, including real-time traffic-aware ETA and turn-by-turn navigation data
- Trip Optimization — Solve the Traveling Salesperson Problem (TSP) by determining the most efficient order to visit multiple coordinates to minimize travel time
- Isochrone Analysis — Compute reachable area polygons within specific travel times (e.g., 'What areas are within a 15-minute walk?') for urban planning and delivery logic
- Road Snapping — Align noisy or distorted GPS traces perfectly onto the road network using native map matching configurations for accurate tracking
- Geospatial Intelligence — Query high-resolution elevation data for any coordinate or generate static map image URLs for rapid visual verification
- Logistics Matrices — Compute all-to-all travel times and distances between multiple origins and destinations to optimize fleet management workflows
The Mapbox (Maps & Geospatial) MCP Server exposes 10 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 (Maps & Geospatial) to LlamaIndex via MCP
Follow these steps to integrate the Mapbox (Maps & Geospatial) 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 10 tools from Mapbox (Maps & Geospatial)
Why Use LlamaIndex with the Mapbox (Maps & Geospatial) MCP Server
LlamaIndex provides unique advantages when paired with Mapbox (Maps & Geospatial) through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Mapbox (Maps & Geospatial) tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Mapbox (Maps & Geospatial) tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Mapbox (Maps & Geospatial), a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Mapbox (Maps & Geospatial) tools were called, what data was returned, and how it influenced the final answer
Mapbox (Maps & Geospatial) + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Mapbox (Maps & Geospatial) MCP Server delivers measurable value.
Hybrid search: combine Mapbox (Maps & Geospatial) real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Mapbox (Maps & Geospatial) 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 (Maps & Geospatial) for fresh data
Analytical workflows: chain Mapbox (Maps & Geospatial) queries with LlamaIndex's data connectors to build multi-source analytical reports
Mapbox (Maps & Geospatial) MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Mapbox (Maps & Geospatial) to LlamaIndex via MCP:
generate_static_map
Generate a static map image URL centered on coordinates
geocoding_session
Perform autocomplete geocoding operations attached to a session
get_directions
Calculate driving, walking, or cycling directions between points
get_distance_matrix
Calculate a distance and travel time matrix between many points
get_elevation
Query elevation data for a specific coordinate point
get_isochrones
Calculate reachable areas within a specific travel time
reverse_geocode
Perform reverse geocoding to find places or addresses at a specific coordinate
search_places
Search for places, addresses, or POIs using Mapbox Geocoding
snap_to_road
Snap noisy GPS traces sequentially to a road network
solve_optimization
Solve trip optimization (Traveling Salesperson Problem)
Example Prompts for Mapbox (Maps & Geospatial) in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Mapbox (Maps & Geospatial) immediately.
"Find the coordinates for 'Golden Gate Bridge' in San Francisco"
"Get driving directions from New York to Philadelphia with traffic-aware ETA"
"What areas are within a 5-minute walk from '-73.9857,40.7484'?"
Troubleshooting Mapbox (Maps & Geospatial) MCP Server with LlamaIndex
Common issues when connecting Mapbox (Maps & Geospatial) to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpMapbox (Maps & Geospatial) + LlamaIndex FAQ
Common questions about integrating Mapbox (Maps & Geospatial) 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 (Maps & Geospatial) with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
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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 (Maps & Geospatial) to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.