3,400+ MCP servers ready to use
Vinkius

Bring Geospatial Ai
to Vercel AI SDK

Learn how to connect Mapflow to Vercel AI SDK and start using 7 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.

Create ProcessingCreate ProjectGet Processing ResultGet Processing StatusList ModelsList ProcessingsList Projects
Use with Your AI Agent
Ask AI about this MCP Server
ChatGPT Claude Perplexity

What is the Mapflow MCP Server?

Connect your Mapflow account to any AI agent and manage geospatial AI processing through natural conversation.

What you can do

  • Project Management — Create and manage mapping projects
  • Image Processing — Trigger AI models on satellite and drone imagery
  • Task Tracking — Monitor processing status and completion
  • Dataset Browsing — Access generated vector datasets and polygons
  • Model Management — Browse available AI models (buildings, roads, forests)

How it works

1. Subscribe to this server
2. Enter your Mapflow API Key
3. Start processing geospatial data from Claude, Cursor, or any MCP-compatible client

Who is this for?

  • GIS Specialists — extract vector data from imagery automatically
  • Urban Planners — map buildings and infrastructure
  • Environmentalists — monitor forests and land use

Built-in capabilities (7)

create_processing

Pass data as a JSON string. Start a new imagery analysis

create_project

Pass data as a JSON string. Create a new project

get_processing_result

Get processing result data

get_processing_status

Check status of a processing job

list_models

List available geospatial AI models

list_processings

List all geospatial processings

list_projects

List all MapFlow projects

Why Vercel AI SDK?

The Vercel AI SDK gives every Mapflow 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.

  • —

    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 Mapflow integration everywhere

  • —

    Built-in streaming UI primitives let you display Mapflow 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

See it in action

Mapflow in Vercel AI SDK

AI Agent→Vinkius
High Security·Kill Switch·Plug and Play
Why Vinkius

Mapflow and 3,400+ other MCP servers. One platform. One governance layer.

Teams that connect Mapflow to Vercel AI SDK through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.

3,400+MCP Servers ready
<40msCold start
60%Token savings
Raw MCP
Vinkius
Server catalogFind and host yourself3,400+ managed
InfrastructureSelf-hostedSandboxed V8 isolates
Credential handlingPlaintext in configVault + runtime injection
Data loss preventionNoneConfigurable DLP policies
Kill switchNoneGlobal instant shutdown
Financial circuit breakersNonePer-server limits + alerts
Audit trailNoneEd25519 signed logs
SIEM log streamingNoneSplunk, Datadog, Webhook
HoneytokensNoneCanary alerts on leak
Custom domainsNot applicableDNS challenge verified
GDPR complianceManual effortAutomated purge + export
Use with Your AI Agent View step-by-step setup guide for Vercel AI SDK →
Enterprise Security

Why teams choose Vinkius for Mapflow in Vercel AI SDK

The Mapflow 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. All 7 tools execute in hardened sandboxes optimized for native MCP execution.

Your AI agents in Vercel AI SDK only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.

Use with Your AI Agent View full Mapflow details →
Mapflow
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

The Vinkius Advantage

How Vinkius secures Mapflow for Vercel AI SDK

Every tool call from Vercel AI SDK to the Mapflow MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.

< 40msCold start
Ed25519Signed audit chain
60%Token savings
FAQ

Frequently asked questions

01

Can I process satellite imagery and extract vector data?

Yes. Trigger AI models on imagery to automatically extract buildings, roads, forests, and other features as vector polygons.

02

How does Mapflow authentication work?

Mapflow uses Bearer authentication against api.mapflow.ai/rest using your API Key.

03

Can I track processing tasks?

Yes. Monitor processing status, progress percentages, and access completion datasets when ready.

04

How does the Vercel AI SDK connect to MCP servers?

Import createMCPClient from @ai-sdk/mcp and pass the server URL. The SDK discovers all tools and provides typed TypeScript interfaces for each one.

05

Can I use MCP tools in Edge Functions?

Yes. The AI SDK is fully edge-compatible. MCP connections work on Vercel Edge Functions, Cloudflare Workers, and similar runtimes.

06

Does it support streaming tool results?

Yes. The SDK provides streaming primitives like useChat and streamText that handle tool calls and display results progressively in the UI.

07

createMCPClient is not a function

Install: npm install @ai-sdk/mcp