OpenCage MCP Server for Cursor 10 tools — connect in under 2 minutes
Cursor is an AI-first code editor built on VS Code that integrates LLM-powered coding assistance directly into the development workflow. Its Agent mode enables autonomous multi-step coding tasks, and MCP support lets agents access external data sources and APIs during code generation.
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{
"mcpServers": {
"opencage": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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.
Cursor's Agent mode turns OpenCage into an in-editor superpower. Ask Cursor to generate code using live data from OpenCage and it fetches, processes, and writes. all in a single agentic loop. 10 tools appear alongside file editing and terminal access, creating a unified development environment grounded in real-time information.
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 Cursor 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 Cursor via MCP
Follow these steps to integrate the OpenCage MCP Server with Cursor.
Open MCP Settings
Press Cmd+Shift+P (macOS) or Ctrl+Shift+P (Windows/Linux) → search "MCP Settings"
Add the server config
Paste the JSON configuration above into the mcp.json file that opens
Save the file
Cursor will automatically detect the new MCP server
Start using OpenCage
Open Agent mode in chat and ask: "Using OpenCage, help me...". 10 tools available
Why Use Cursor with the OpenCage MCP Server
Cursor AI Code Editor provides unique advantages when paired with OpenCage through the Model Context Protocol.
Agent mode turns Cursor into an autonomous coding assistant that can read files, run commands, and call MCP tools without switching context
Cursor's Composer feature can generate entire files using real-time data fetched through MCP. no copy-pasting from external dashboards
MCP tools appear alongside built-in tools like file reading and terminal access, creating a unified agentic environment
VS Code extension compatibility means your existing workflow, keybindings, and extensions all work alongside MCP tools
OpenCage + Cursor Use Cases
Practical scenarios where Cursor combined with the OpenCage MCP Server delivers measurable value.
Code generation with live data: ask Cursor to generate a security report module using live DNS and subdomain data fetched through MCP
Automated documentation: have Cursor query your API's tool schemas and generate TypeScript interfaces or OpenAPI specs automatically
Infrastructure-as-code: Cursor can fetch domain configurations and generate corresponding Terraform or CloudFormation templates
Test scaffolding: ask Cursor to pull real API responses via MCP and generate unit test fixtures from actual data
OpenCage MCP Tools for Cursor (10)
These 10 tools become available when you connect OpenCage to Cursor 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 Cursor
Ready-to-use prompts you can give your Cursor 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 Cursor
Common issues when connecting OpenCage to Cursor through the Vinkius, and how to resolve them.
Tools not appearing in Cursor
Server shows as disconnected
OpenCage + Cursor FAQ
Common questions about integrating OpenCage MCP Server with Cursor.
What is Agent mode and why does it matter for MCP?
Where does Cursor store MCP configuration?
mcp.json file. You can configure servers at the project level (.cursor/mcp.json in your project root) or globally (~/.cursor/mcp.json). Project-level configs take precedence.Can Cursor use MCP tools in inline edits?
How do I verify MCP tools are loaded?
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 Cursor
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.