OpenCage MCP Server for Vercel AI SDK 10 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect OpenCage through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
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Vinkius supports streamable HTTP and SSE.
import { createMCPClient } from "@ai-sdk/mcp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";
async function main() {
const mcpClient = await createMCPClient({
transport: {
type: "http",
// Your Vinkius token. get it at cloud.vinkius.com
url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
},
});
try {
const tools = await mcpClient.tools();
const { text } = await generateText({
model: openai("gpt-4o"),
tools,
prompt: "Using OpenCage, list all available capabilities.",
});
console.log(text);
} finally {
await mcpClient.close();
}
}
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.
The Vercel AI SDK gives every OpenCage tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 10 tools through Vinkius and stream results progressively to React, Svelte, or Vue components. works on Edge Functions, Cloudflare Workers, and any Node.js runtime.
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 Vercel AI 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 Vercel AI SDK via MCP
Follow these steps to integrate the OpenCage MCP Server with Vercel AI SDK.
Install dependencies
Run npm install @ai-sdk/mcp ai @ai-sdk/openai
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token
Run the script
Save to agent.ts and run with npx tsx agent.ts
Explore tools
The SDK discovers 10 tools from OpenCage and passes them to the LLM
Why Use Vercel AI SDK with the OpenCage MCP Server
Vercel AI SDK provides unique advantages when paired with OpenCage through the Model Context Protocol.
TypeScript-first: every MCP tool gets full type inference, IDE autocomplete, and compile-time error checking out of the box
Framework-agnostic core works with Next.js, Nuxt, SvelteKit, or any Node.js runtime. same OpenCage integration everywhere
Built-in streaming UI primitives let you display OpenCage tool results progressively in React, Svelte, or Vue components
Edge-compatible: the AI SDK runs on Vercel Edge Functions, Cloudflare Workers, and other edge runtimes for minimal latency
OpenCage + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the OpenCage MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query OpenCage in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate OpenCage tools and return structured JSON responses to any frontend
Chatbots with tool use: embed OpenCage capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with OpenCage through natural language queries
OpenCage MCP Tools for Vercel AI SDK (10)
These 10 tools become available when you connect OpenCage to Vercel AI 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 Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI 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 Vercel AI SDK
Common issues when connecting OpenCage to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpOpenCage + Vercel AI SDK FAQ
Common questions about integrating OpenCage MCP Server with Vercel AI SDK.
How does the Vercel AI SDK connect to MCP servers?
createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.Can I use MCP tools in Edge Functions?
Does it support streaming tool results?
useChat and streamText that handle tool calls and display results progressively in the UI.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 Vercel AI SDK
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.