Mapillary MCP Server for Vercel AI SDK 7 tools — connect in under 2 minutes
The Vercel AI SDK is the TypeScript toolkit for building AI-powered applications. Connect Mapillary through Vinkius and every tool is available as a typed function. ready for React Server Components, API routes, or any Node.js backend.
ASK AI ABOUT THIS MCP SERVER
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 Mapillary, 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 Mapillary MCP Server
Connect to Mapillary and access the world's largest street-level imagery platform through natural conversation.
The Vercel AI SDK gives every Mapillary tool full TypeScript type inference, IDE autocomplete, and compile-time error checking. Connect 7 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
- Image Search — Search street-level images by geographic bounding box
- Image Details — Get image metadata including GPS coordinates, capture date, compass angle and sequence
- Sequence Search — Find image sequences (connected images along routes) by area
- Map Features — Search detected traffic signs, objects and road markings by area
- Object Detections — Get all detected objects in a specific image
The Mapillary MCP Server exposes 7 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 Mapillary to Vercel AI SDK via MCP
Follow these steps to integrate the Mapillary 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 7 tools from Mapillary and passes them to the LLM
Why Use Vercel AI SDK with the Mapillary MCP Server
Vercel AI SDK provides unique advantages when paired with Mapillary 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 Mapillary integration everywhere
Built-in streaming UI primitives let you display Mapillary 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
Mapillary + Vercel AI SDK Use Cases
Practical scenarios where Vercel AI SDK combined with the Mapillary MCP Server delivers measurable value.
AI-powered web apps: build dashboards that query Mapillary in real-time and stream results to the UI with zero loading states
API backends: create serverless endpoints that orchestrate Mapillary tools and return structured JSON responses to any frontend
Chatbots with tool use: embed Mapillary capabilities into conversational interfaces with streaming responses and tool call visibility
Internal tools: build admin panels where team members interact with Mapillary through natural language queries
Mapillary MCP Tools for Vercel AI SDK (7)
These 7 tools become available when you connect Mapillary to Vercel AI SDK via MCP:
get_detection_value
Returns the detected value, type, GPS coordinates and image association. Get details for a specific object detection
get_image
Returns image ID, capture date/time, GPS coordinates, compass angle, sequence ID, organization and thumbnail URL. Use fields parameter to request additional data like "geometry,compass_angle,captured_at,sequence,thumb_256_url,thumb_1024_url,altitude". Get details for a specific Mapillary image
get_image_detections
Returns detection values, types, geometry and confidence scores. Get object detections for a specific image
get_map_features
Returns feature type, value, GPS coordinates and detection confidence. Useful for traffic sign inventory and road infrastructure analysis. Search map features (traffic signs, objects) by area
get_sequence
Returns sequence ID, creation date and related images. Get details for a specific image sequence
search_images
Returns image IDs, coordinates, capture dates, compass angles and sequence IDs. Bbox format: min_lon,min_lat,max_lon,max_lat (e.g. "-0.15,51.50,-0.10,51.52" for central London). Search street-level images by geographic area
search_sequences
Returns sequence IDs and metadata for all sequences that pass through the area. Search image sequences by geographic area
Example Prompts for Mapillary in Vercel AI SDK
Ready-to-use prompts you can give your Vercel AI SDK agent to start working with Mapillary immediately.
"Find street-level images in central London."
"Search for traffic signs in São Paulo."
"Get object detections for image abc123."
Troubleshooting Mapillary MCP Server with Vercel AI SDK
Common issues when connecting Mapillary to Vercel AI SDK through the Vinkius, and how to resolve them.
createMCPClient is not a function
npm install @ai-sdk/mcpMapillary + Vercel AI SDK FAQ
Common questions about integrating Mapillary 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 Mapillary 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 Mapillary to Vercel AI SDK
Get your token, paste the configuration, and start using 7 tools in under 2 minutes. No API key management needed.