OpenCage MCP Server for AutoGen 10 tools — connect in under 2 minutes
Microsoft AutoGen enables multi-agent conversations where agents negotiate, delegate, and execute tasks collaboratively. Add OpenCage as an MCP tool provider through Vinkius and every agent in the group can access live data and take action.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from autogen_agentchat.agents import AssistantAgent
from autogen_ext.tools.mcp import McpWorkbench
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with McpWorkbench(
server_params={"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"},
transport="streamable_http",
) as workbench:
tools = await workbench.list_tools()
agent = AssistantAgent(
name="opencage_agent",
tools=tools,
system_message=(
"You help users with OpenCage. "
"10 tools available."
),
)
print(f"Agent ready with {len(tools)} tools")
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 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.
AutoGen enables multi-agent conversations where agents negotiate, delegate, and collaboratively use OpenCage tools. Connect 10 tools through Vinkius and assign role-based access. a data analyst queries while a reviewer validates, with optional human-in-the-loop approval for sensitive operations.
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 AutoGen 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 AutoGen via MCP
Follow these steps to integrate the OpenCage MCP Server with AutoGen.
Install AutoGen
Run pip install "autogen-ext[mcp]"
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Integrate into workflow
Use the agent in your AutoGen multi-agent orchestration
Explore tools
The workbench discovers 10 tools from OpenCage automatically
Why Use AutoGen with the OpenCage MCP Server
AutoGen provides unique advantages when paired with OpenCage through the Model Context Protocol.
Multi-agent conversations: multiple AutoGen agents discuss, delegate, and collaboratively use OpenCage tools to solve complex tasks
Role-based architecture lets you assign OpenCage tool access to specific agents. a data analyst queries while a reviewer validates
Human-in-the-loop support: agents can pause for human approval before executing sensitive OpenCage tool calls
Code execution sandbox: AutoGen agents can write and run code that processes OpenCage tool responses in an isolated environment
OpenCage + AutoGen Use Cases
Practical scenarios where AutoGen combined with the OpenCage MCP Server delivers measurable value.
Collaborative analysis: one agent queries OpenCage while another validates results and a third generates the final report
Automated review pipelines: a researcher agent fetches data from OpenCage, a critic agent evaluates quality, and a writer produces the output
Interactive planning: agents negotiate task allocation using OpenCage data to make informed decisions about resource distribution
Code generation with live data: an AutoGen coder agent writes scripts that process OpenCage responses in a sandboxed execution environment
OpenCage MCP Tools for AutoGen (10)
These 10 tools become available when you connect OpenCage to AutoGen 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 AutoGen
Ready-to-use prompts you can give your AutoGen 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 AutoGen
Common issues when connecting OpenCage to AutoGen through the Vinkius, and how to resolve them.
McpWorkbench not found
pip install "autogen-ext[mcp]"OpenCage + AutoGen FAQ
Common questions about integrating OpenCage MCP Server with AutoGen.
How does AutoGen connect to MCP servers?
Can different agents have different MCP tool access?
Does AutoGen support human approval for tool calls?
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 AutoGen
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.