How to Use the HERE (Location & Maps) MCP in LlamaIndex

Index location data with LlamaIndex and your HERE (Location & Maps) server for smarter RAG.

See Vinkius in Action

Works with every AI agent you already use

…and any MCP-compatible client

MCP Servers - Free for Subscribers

Connect HERE (Location & Maps) MCP to LlamaIndex

Create your Vinkius account to connect HERE (Location & 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.

GDPR Free for Subscribers

Setup HERE (Location & Maps) with LlamaIndex

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Index location results in LlamaIndex

Run `discover_places` and store the results directly in your vector index. You get a searchable knowledge base built on actual place data. This allows your RAG application to query past location lookups. It stops the agent from guessing and forces it to rely on retrieved context.

Ground your queries with HERE

Use `reverse_geocode` to turn coordinates into human-readable addresses for your documents. This adds geographic context to your existing knowledge base. Your agent can now answer questions like 'what is near these coordinates?' by looking up the indexed place data. It’s grounded in hard facts.

Automated place identification

Trigger `lookup_place_id` to verify location details before ingestion. It keeps your index clean by ensuring every entry has a unique, verified ID. This prevents duplicates in your vector store. It makes your retrieval process faster and more accurate during query time.

Setup guide

Set up HERE (Location & 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 HERE (Location & 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 HERE (Location & Maps) tools.",
)
response = await agent.run("List recent HERE (Location & Maps) 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 HERE Technologies. 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 HERE (Location & Maps) 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 HERE (Location & Maps) MCP in LlamaIndex

Use the MCP tool spec to pull data from the server. Once retrieved, add that output to your document pipeline for indexing.

You can restrict which tools are exposed to your agent. This keeps your search index focused on the data you actually need.

We keep your coordinate and address data isolated. Your index only holds the specific information you choose to store.

You can if you store the tool outputs in your vector store. The server provides the live data, and your index tracks the history.

By using these tools, your agent relies on live API data rather than its training weights. It’s the best way to keep your answers factual.

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

Mastra AI sdk-typescript

Start using the HERE (Location & Maps) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

Get started