How to Use the ArcGIS Alternative MCP in LlamaIndex

Q: How do I set up ArcGIS Alternative with LlamaIndex?

Grab the llama-index-tools-mcp package via pip. Set up a BasicMCPClient with your Vinkius URL, wrap it in an McpToolSpec, and call totoollistasync(). Pass that array directly into your FunctionAgent.

Q: Can LlamaIndex index routes from ArcGIS Alternative?

The engine calls the getroute tool and receives travel time, distance, and geometry. You can configure your RAG pipeline to embed this turn-by-turn data into your vector store. Future queries about that route pull from the index instantly.

Q: How does ArcGIS Alternative handle elevation data in LlamaIndex?

You pass semicolon-separated coordinates to the getelevation tool. The agent gets back altitude figures in meters. This data becomes part of your searchable knowledge base for terrain analysis.

Q: Can I filter which ArcGIS Alternative MCP Server tools LlamaIndex sees?

Yes, you can use the allowedtools parameter when building your tool list. If you only want your agent indexing map visuals, restrict it to the getbasemapstyles tool. This keeps your vector store focused on specific geographic data.

Index live map data and geographic routes with ArcGIS Alternative and LlamaIndex.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect ArcGIS Alternative MCP to LlamaIndex

Create your Vinkius account to connect ArcGIS Alternative to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

GDPR Free for Subscribers

Setup ArcGIS Alternative with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Vector search for geographic places

The `search_places` tool grabs names, addresses, and distances for specific categories near a coordinate pair. LlamaIndex takes this raw JSON output and converts it into searchable documents. You build a RAG application that knows exactly where every hospital or gas station is within a 5000-meter radius. Instead of just answering a single question, your agent stores the geographic context. When a user asks about nearby coffee shops later in the session, the engine queries the vector store first. It grounds responses in actual map data rather than guessing locations.

Indexing terrain and travel routes via MCP Server

The `get_route` tool returns turn-by-turn directions and travel times, while `get_elevation` pulls altitude in meters for specific coordinate pairs. You feed these results directly into your unified index. Now your knowledge base includes exact travel logistics and terrain profiles. This changes how you handle logistics queries. A user asks about delivery times, and LlamaIndex cross-references your internal policy documents with live driving distances pulled from the API. The agent synthesizes both data sources into a single, accurate answer.

Translating addresses for semantic search

The `geocode_address` tool assigns precise coordinates and confidence scores to free-form text locations. `reverse_geocode` does the exact opposite, turning raw GPS pings into readable street names. LlamaIndex uses these tools to tag documents with accurate spatial metadata. Imagine feeding a stack of messy field reports into your index. The agent extracts the rough location descriptions, runs them through the geocoder, and tags the resulting vectors with exact coordinates. You can now perform spatial queries against unstructured text documents.

Setup guide

Set up ArcGIS Alternative MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all ArcGIS Alternative MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to ArcGIS Alternative tools.",
)
response = await agent.run("List recent ArcGIS Alternative data")

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 ArcGIS. 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Connect ArcGIS Alternative now

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about ArcGIS Alternative MCP in LlamaIndex

Grab the `llama-index-tools-mcp` package via pip. Set up a `BasicMCPClient` with your Vinkius URL, wrap it in an `McpToolSpec`, and call `to_tool_list_async()`. Pass that array directly into your `FunctionAgent`.

The engine calls the `get_route` tool and receives travel time, distance, and geometry. You can configure your RAG pipeline to embed this turn-by-turn data into your vector store. Future queries about that route pull from the index instantly.

You pass semicolon-separated coordinates to the `get_elevation` tool. The agent gets back altitude figures in meters. This data becomes part of your searchable knowledge base for terrain analysis.

Yes, you can use the `allowed_tools` parameter when building your tool list. If you only want your agent indexing map visuals, restrict it to the `get_basemap_styles` tool. This keeps your vector store focused on specific geographic data.

Your free-form address text and routing coordinates pass through an ephemeral V8 sandbox. Vinkius never logs your geographic API queries or saves the turn-by-turn directions returned to your RAG pipeline. The MCP connection is strictly zero-trust.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

OpenAI Agents SDK sdk-python

Google ADK sdk-python

Pydantic AI sdk-python

Vercel AI SDK sdk-typescript