How to Use the LocationIQ (Geocoding & Maps) MCP in LlamaIndex

Q: How do I monitor my usage limits with this server?

Call checkaccountbalance whenever you need a count of remaining queries. It returns the exact number of requests left on your current API key.

Get precise map data into LlamaIndex. Use this MCP server to turn raw coordinates and addresses into searchable RAG knowledge.

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Connect LocationIQ (Geocoding & Maps) MCP to LlamaIndex

Create your Vinkius account to connect LocationIQ (Geocoding & Maps) 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.

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Setup LocationIQ (Geocoding & Maps) with LlamaIndex

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Convert text addresses into map coordinates

Feed raw strings directly into `search_geocode` to get accurate latitude and longitude pairs. This lets your agent resolve vague location mentions into concrete data points for your vector store. Stop guessing where a location is. By mapping addresses to specific coordinates, your index gains spatial context that improves the relevance of your downstream retrieval tasks.

Calculate routing data for LlamaIndex agents

Use `calculate_directions` to generate movement paths between two points. Whether you need driving, walking, or cycling routes, the tool provides the exact geometry your application requires. Pair this with `calculate_distance_matrix` to build complex logistics models. Your agent can compare travel durations across multiple points, giving you a clear view of spatial relationships within your index.

Manage location search and road snapping

Clean up messy GPS data by calling `snap_nearest_roads`. This forces loose coordinates onto the actual street network, ensuring your index contains data that matches real-world infrastructure. Need to filter results? Use `search_autocomplete` to suggest locations as a user types. You can also restrict results to specific regions with `search_country_filter` or `search_bounding_box` to keep your search space tight.

Setup guide

Set up LocationIQ (Geocoding & Maps) 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 LocationIQ (Geocoding & Maps) 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 LocationIQ (Geocoding & Maps) tools.",
)
response = await agent.run("List recent LocationIQ (Geocoding & Maps) data")

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Common questions about LocationIQ (Geocoding & Maps) MCP in LlamaIndex

It anchors your data to real-world geography. By turning address strings into coordinates, your index can perform proximity-based queries that simple keyword matching misses.

Yes. You pass the tool outputs directly into your agent, which then ingests that data into your vector store. This creates a knowledge base grounded in live map information.

It does. You connect the server, pull the tool list, and provide them to your agent. The agent then decides when to call the API based on your natural language prompt.

Call `check_account_balance` whenever you need a count of remaining queries. It returns the exact number of requests left on your current API key.

Your data stays private. The server acts as a direct bridge, handling your requests without storing or caching personal coordinate information on our end. All traffic is encrypted between your client and the provider.

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