ArcGIS 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 ArcGIS as an MCP tool provider through the Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
ASK AI ABOUT THIS MCP SERVER
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 ArcGIS. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in ArcGIS?"
)
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 ArcGIS MCP Server
Connect your ArcGIS account to any AI agent and take full control of your location and spatial intelligence through natural conversation.
LlamaIndex agents combine ArcGIS tool responses with indexed documents for comprehensive, grounded answers. Connect 10 tools through the 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 & Reverse Geocoding — Convert street addresses to coordinates instantly or discover the closest address to a specific longitude/latitude pair
- Batch Geocoding — Process bulk batches of up to 1000 geographical addresses in a single AI operation
- Route Solving — Calculate the optimal route between multiple stops, complete with turn-by-turn directions, travel time, and precise distances
- Vehicle Routing — Solve complex Vehicle Routing Problems (VRP) to optimize fleets and logistics deliveries
- Service Area Analysis — Calculate drive-time, walk-time, or travel-distance polygons reachable from a specific facility
- Origin-Destination Matrices — Compute travel constraints and cost matrices between multiple origins and tracking destinations
The ArcGIS 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 ArcGIS to LlamaIndex via MCP
Follow these steps to integrate the ArcGIS 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 ArcGIS
Why Use LlamaIndex with the ArcGIS MCP Server
LlamaIndex provides unique advantages when paired with ArcGIS through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine ArcGIS tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain ArcGIS tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query ArcGIS, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what ArcGIS tools were called, what data was returned, and how it influenced the final answer
ArcGIS + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the ArcGIS MCP Server delivers measurable value.
Hybrid search: combine ArcGIS real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query ArcGIS 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 ArcGIS for fresh data
Analytical workflows: chain ArcGIS queries with LlamaIndex's data connectors to build multi-source analytical reports
ArcGIS MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect ArcGIS to LlamaIndex via MCP:
batch_geocode_addresses
Addresses must be provided as an ArcGIS-compatible JSON array string. Geocode a bulk batch of up to 1000 addresses
calculate_od_matrix
Calculate travel time and distances between multiple origins and destinations
calculate_service_area
Facilities specified as lon,lat. Calculate drive-time, walk-time, or travel-distance service areas
find_address_candidates
Use this to turn text addresses into latitude and longitude. Find an address or place using ArcGIS Geocoding
find_address_country
g., USA, BRA, FRA). Ensures results are geographically bounded. Find an address filtered by a specific country
reverse_geocode
Coordinate format must be lon,lat (e.g. -117.19,34.05). Discover the closest address to a specific location (lon,lat)
solve_nav_route
Point sequence must be provided as lon,lat;lon,lat. Returns detailed turn-by-turn directions, travel time, and distance. Find the best route between two or more locations
solve_vehicle_routing
Takes an ArcGIS Orders JSON mapping string detailing the stops. Solve a Vehicle Routing Problem (VRP) for a fleet
suggest_geocoding
Use this to help users select valid addresses before performing a full geocode request. Get autocomplete suggestions for partial addresses or place names
suggest_location_bias
Get autocomplete suggestions biased towards a specific location
Example Prompts for ArcGIS in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with ArcGIS immediately.
"What is the closest address to coordinates -117.19, 34.05?"
"Find the optimal driving route visiting stops -122.4,37.7 and -122.5,37.8."
"Resolve the coordinate location for 'Central Park' but restrict the search strictly to the USA."
Troubleshooting ArcGIS MCP Server with LlamaIndex
Common issues when connecting ArcGIS to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpArcGIS + LlamaIndex FAQ
Common questions about integrating ArcGIS 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 ArcGIS 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 ArcGIS to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.