Nominatim MCP Server for LangChain 5 tools — connect in under 2 minutes
LangChain is the leading Python framework for composable LLM applications. Connect Nominatim through the Vinkius and LangChain agents can call every tool natively — combine them with retrievers, memory, and output parsers for sophisticated AI pipelines.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from langchain_mcp_adapters.client import MultiServerMCPClient
from langchain_openai import ChatOpenAI
from langgraph.prebuilt import create_react_agent
async def main():
# Your Vinkius token — get it at cloud.vinkius.com
async with MultiServerMCPClient({
"nominatim": {
"transport": "streamable_http",
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
}
}) as client:
tools = client.get_tools()
agent = create_react_agent(
ChatOpenAI(model="gpt-4o"),
tools,
)
response = await agent.ainvoke({
"messages": [{
"role": "user",
"content": "Using Nominatim, show me what tools are available.",
}]
})
print(response["messages"][-1].content)
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 Nominatim MCP Server
Connect to Nominatim and search the world's most comprehensive open-source geographic database through natural conversation — no API key needed.
LangChain's ecosystem of 500+ components combines seamlessly with Nominatim through native MCP adapters. Connect 5 tools via the Vinkius and use ReAct agents, Plan-and-Execute strategies, or custom agent architectures — with LangSmith tracing giving full visibility into every tool call, latency, and token cost.
What you can do
- Address Search — Find any place by name, address or type of place (restaurants, schools, hospitals)
- Reverse Geocoding — Convert GPS coordinates to human-readable addresses
- OSM Lookup — Look up detailed info for any OpenStreetMap object by its ID
- Structured Addresses — Get detailed address components (street, city, state, postal code, country)
- Multi-language Names — Retrieve place names in different languages
- Bounding Boxes — Get geographic boundaries for cities, countries and regions
The Nominatim MCP Server exposes 5 tools through the Vinkius. Connect it to LangChain 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 Nominatim to LangChain via MCP
Follow these steps to integrate the Nominatim MCP Server with LangChain.
Install dependencies
Run pip install langchain langchain-mcp-adapters langgraph langchain-openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the agent
Save the code and run python agent.py
Explore tools
The agent discovers 5 tools from Nominatim via MCP
Why Use LangChain with the Nominatim MCP Server
LangChain provides unique advantages when paired with Nominatim through the Model Context Protocol.
The largest ecosystem of integrations, chains, and agents — combine Nominatim MCP tools with 500+ LangChain components
Agent architecture supports ReAct, Plan-and-Execute, and custom strategies with full MCP tool access at every step
LangSmith tracing gives you complete visibility into tool calls, latencies, and token usage for production debugging
Memory and conversation persistence let agents maintain context across Nominatim queries for multi-turn workflows
Nominatim + LangChain Use Cases
Practical scenarios where LangChain combined with the Nominatim MCP Server delivers measurable value.
RAG with live data: combine Nominatim tool results with vector store retrievals for answers grounded in both real-time and historical data
Autonomous research agents: LangChain agents query Nominatim, synthesize findings, and generate comprehensive research reports
Multi-tool orchestration: chain Nominatim tools with web scrapers, databases, and calculators in a single agent run
Production monitoring: use LangSmith to trace every Nominatim tool call, measure latency, and optimize your agent's performance
Nominatim MCP Tools for LangChain (5)
These 5 tools become available when you connect Nominatim to LangChain via MCP:
get_details
Returns the object's full name, display name, place rank, importance score, bounding box, parent place hierarchy, linked Wikipedia/Wikidata articles and optional extratags. OSM type: N (node), W (way), R (relation). Get detailed info for an OSM object
get_status
Returns status message and response latency. Useful for verifying the service is operational before making other requests. Get Nominatim server status
lookup_osm
IDs are formatted as "type{id}" where type is N (node), W (way) or R (relation). Multiple IDs are comma-separated. Returns the object's display name, coordinates, bounding box and properties. Look up OSM objects by ID
reverse_geocode
Returns the nearest address, city, state, country and other location details. Supports different zoom levels for varying detail granularity. Convert coordinates to an address
search
Returns results with coordinates, bounding box, display name, address components and OSM type/id. Supports structured searches with country codes and viewbox for region prioritization. Rate limited to 1 request/second. Search for places by name or address
Example Prompts for Nominatim in LangChain
Ready-to-use prompts you can give your LangChain agent to start working with Nominatim immediately.
"Find the coordinates for the Eiffel Tower."
"What address is at coordinates 40.7128, -74.0060?"
"Search for 'Central Park' and show me its bounding box."
Troubleshooting Nominatim MCP Server with LangChain
Common issues when connecting Nominatim to LangChain through the Vinkius, and how to resolve them.
MultiServerMCPClient not found
pip install langchain-mcp-adaptersNominatim + LangChain FAQ
Common questions about integrating Nominatim MCP Server with LangChain.
How does LangChain connect to MCP servers?
langchain-mcp-adapters to create an MCP client. LangChain discovers all tools and wraps them as native LangChain tools compatible with any agent type.Which LangChain agent types work with MCP?
Can I trace MCP tool calls in LangSmith?
Connect Nominatim 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 Nominatim to LangChain
Get your token, paste the configuration, and start using 5 tools in under 2 minutes. No API key management needed.