OpenCage MCP Server for Google ADK 10 tools — connect in under 2 minutes
Google Agent Development Kit (ADK) is Google's framework for building production AI agents. Add OpenCage as an MCP tool provider through Vinkius and your ADK agents can call every tool with full schema introspection.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
from google.adk.agents import Agent
from google.adk.tools.mcp_tool import McpToolset
from google.adk.tools.mcp_tool.mcp_session_manager import (
StreamableHTTPConnectionParams,
)
# Your Vinkius token. get it at cloud.vinkius.com
mcp_tools = McpToolset(
connection_params=StreamableHTTPConnectionParams(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
)
)
agent = Agent(
model="gemini-2.5-pro",
name="opencage_agent",
instruction=(
"You help users interact with OpenCage "
"using 10 available tools."
),
tools=[mcp_tools],
)
* 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.
Google ADK natively supports OpenCage as an MCP tool provider. declare Vinkius Edge URL and the framework handles discovery, validation, and execution automatically. Combine 10 tools with Gemini's long-context reasoning for complex multi-tool workflows, with production-ready session management and evaluation built in.
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 Google ADK 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 Google ADK via MCP
Follow these steps to integrate the OpenCage MCP Server with Google ADK.
Install Google ADK
Run pip install google-adk
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Create the agent
Save the code above and integrate into your ADK workflow
Explore tools
The agent will discover 10 tools from OpenCage via MCP
Why Use Google ADK with the OpenCage MCP Server
Google ADK provides unique advantages when paired with OpenCage through the Model Context Protocol.
Google ADK natively supports MCP tool servers. declare a tool provider and the framework handles discovery, validation, and execution
Built on Gemini models, ADK provides long-context reasoning ideal for complex multi-tool workflows with OpenCage
Production-ready features like session management, evaluation, and deployment come built-in. not bolted on
Seamless integration with Google Cloud services means you can combine OpenCage tools with BigQuery, Vertex AI, and Cloud Functions
OpenCage + Google ADK Use Cases
Practical scenarios where Google ADK combined with the OpenCage MCP Server delivers measurable value.
Enterprise data agents: ADK agents query OpenCage and cross-reference results with internal databases for comprehensive analysis
Multi-modal workflows: combine OpenCage tool responses with Gemini's vision and language capabilities in a single agent
Automated compliance checks: schedule ADK agents to query OpenCage regularly and flag policy violations or configuration drift
Internal tool platforms: build self-service agent platforms where teams connect their own MCP servers including OpenCage
OpenCage MCP Tools for Google ADK (10)
These 10 tools become available when you connect OpenCage to Google ADK 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 Google ADK
Ready-to-use prompts you can give your Google ADK 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 Google ADK
Common issues when connecting OpenCage to Google ADK through the Vinkius, and how to resolve them.
McpToolset not found
pip install --upgrade google-adkOpenCage + Google ADK FAQ
Common questions about integrating OpenCage MCP Server with Google ADK.
How does Google ADK connect to MCP servers?
Can ADK agents use multiple MCP servers?
Which Gemini models work best with MCP tools?
Connect OpenCage 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 OpenCage to Google ADK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.