How accurate is the geocoding — can I use it for delivery routing?

OpenCage returns a confidence score from 1 to 10 for each result. Use the high-confidence filter (min_confidence=8 or higher) to get delivery-grade accuracy. Combined with country filtering, you can eliminate ambiguous matches and get coordinates reliable enough for last-mile dispatch.

What does privacy mode actually do?

When you enable no_record=1, OpenCage processes your query but doesn't log it in their cache or analytics. The result is identical, but the query leaves no trace on their servers. Ideal for geocoding patient addresses, legal documents, or any PII-sensitive data.

Can I geocode in multiple languages — like getting results in Portuguese for a Brazilian address?

Yes. Use the language bias tool with any IETF language code (pt-BR, es-MX, fr-FR, etc.) and OpenCage returns the address components translated to that locale. Perfect for building multilingual apps or standardizing address formats across regions.

OpenCage MCP Server for OpenAI Agents SDK 10 tools — connect in under 2 minutes

openai.github.io/openai-agents-python/mcp

Built by Vinkius GDPR 10 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect OpenCage through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="OpenCage Assistant",
            instructions=(
                "You help users interact with OpenCage. "
                "You have access to 10 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from OpenCage"
        )
        print(result.final_output)

asyncio.run(main())

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* 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 OpenCage MCP Server

Give your AI agent precise geolocation superpowers with OpenCage Geocoding. Convert any address into coordinates, reverse-geocode GPS pins into readable addresses, and apply advanced filters — all through natural conversation.

The OpenAI Agents SDK auto-discovers all 10 tools from OpenCage through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries OpenCage, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

What you can do

Forward Geocoding — Convert any address or place name into exact latitude/longitude coordinates
Reverse Geocoding — Turn GPS coordinates into structured street addresses with timezone and sun data
Country Filtering — Restrict results to a specific country (ISO 3166-1 Alpha-2) to avoid ambiguous city matches
Language Bias — Request results localized in any IETF language code (e.g., pt-BR, fr-FR)
Confidence Scoring — Filter geocoding results by minimum confidence level (1–10) for delivery-grade accuracy
Bounding Box — Constrain results to a geographic rectangle for targeted regional searches
Privacy Mode — Run geocoding queries without OpenCage logging them, for sensitive addresses
Duplicate Control — Return or suppress duplicate results for data validation workflows

The OpenCage MCP Server exposes 10 tools through the Vinkius. Connect it to OpenAI Agents SDK 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 OpenCage to OpenAI Agents SDK via MCP

Follow these steps to integrate the OpenCage MCP Server with OpenAI Agents SDK.

Install the SDK

Run pip install openai-agents in your Python environment

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Run the script

Save the code above and run it: python agent.py

Explore tools

The agent will automatically discover 10 tools from OpenCage

Why Use OpenAI Agents SDK with the OpenCage MCP Server

OpenAI Agents SDK provides unique advantages when paired with OpenCage through the Model Context Protocol.

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

OpenCage + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the OpenCage MCP Server delivers measurable value.

Automated workflows: build agents that query OpenCage, process the data, and trigger follow-up actions autonomously

Multi-agent orchestration: create specialist agents. one queries OpenCage, another analyzes results, a third generates reports

Data enrichment pipelines: stream data through OpenCage tools and transform it with OpenAI models in a single async loop

Customer support bots: agents query OpenCage to resolve tickets, look up records, and update statuses without human intervention

OpenCage MCP Tools for OpenAI Agents SDK (10)

These 10 tools become available when you connect OpenCage to OpenAI Agents SDK via MCP:

geocode_all_duplicate_results

Retrieve the exact structural matching verifying Delivery alternatives

geocode_basic

Identify bounded routing spaces inside the Headless OpenCage Engine

geocode_bounding_box

Inspect deep internal arrays mitigating specific Polygon domains

geocode_country_filter

Perform structural extraction of properties driving active Country nodes

geocode_high_confidence

Dispatch an automated validation check routing explicit Score limits

geocode_language_bias

Retrieve explicit Cloud logging tracing explicit Payload locales

geocode_no_record_privacy

Provision a highly-available JSON Payload generating secure mappings

reverse_basic

Enumerate explicitly attached structured rules exporting active GPS pins

reverse_fast_no_annotations

Identify precise active arrays spanning native Location limits faster

reverse_fetch_time_annotations

Irreversibly vaporize explicit validation limits extracting UTC logic

Example Prompts for OpenCage in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with OpenCage immediately.

"What are the coordinates for 1600 Amphitheatre Parkway, Mountain View, CA?"

"What's at coordinates 48.8566, 2.3522?"

"Geocode 'Springfield' but only show results in the United States with confidence >= 7."

Troubleshooting OpenCage MCP Server with OpenAI Agents SDK

Common issues when connecting OpenCage to OpenAI Agents SDK through the Vinkius, and how to resolve them.

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

OpenCage + OpenAI Agents SDK FAQ

Common questions about integrating OpenCage MCP Server with OpenAI Agents SDK.

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.