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.

How does Mapflow authentication work?

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

Can I track processing tasks?

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

INSTANT PLUG AND PLAY

Mapflow MCP Server for VS Code CopilotGive VS Code Copilot instant access to 7 tools to Create Processing, Create Project, Get Processing Result, and more

Name: Mapflow
Availability: InStock
Author: Vinkius

Built by Vinkius GDPR 7 Tools IDE

GitHub Copilot in VS Code is the most widely adopted AI coding assistant, embedded directly into the world's most popular code editor. With MCP support in Agent mode, Copilot can access external data and APIs to generate context-aware code grounded in real-time information.

Use with Your AI Agent

Ask AI about this App Connector for VS Code Copilot

Open in ChatGPT Open in Claude Open in Perplexity

The Mapflow app connector for VS Code Copilot is a standout in the Artificial Intelligence category — giving your AI agent 7 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

RecommendedModern Approach — Zero Configuration

Vinkius Desktop App

The modern way to manage MCP Servers — no config files, no terminal commands. Install Mapflow and 3,400+ MCP Servers from a single visual interface.

Download Free Open SourceNo signup required

Classic Setup·json

{
  "mcpServers": {
    "mapflow": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

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

About Mapflow MCP Server

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

GitHub Copilot Agent mode brings Mapflow data directly into your VS Code workflow. With a project-scoped config, the entire team shares access to 7 tools. Copilot queries live data, generates typed code, and writes tests from actual API responses, all without leaving the editor.

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)

The Mapflow MCP Server exposes 7 tools through the Vinkius. Connect it to VS Code Copilot in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 7 Mapflow tools available for VS Code Copilot

When VS Code Copilot connects to Mapflow through Vinkius, your AI agent gets direct access to every tool listed below — spanning geospatial-ai, satellite-imagery, drone-mapping, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

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

Connect Mapflow to VS Code Copilot via MCP

Follow these steps to wire Mapflow into VS Code Copilot. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

Create MCP config

Create a .vscode/mcp.json file in your project root

Add the server config

Paste the JSON configuration above

Enable Agent mode

Open GitHub Copilot Chat and switch to Agent mode using the dropdown

Start using Mapflow

Ask Copilot: "Using Mapflow, help me...". 7 tools available

Why Use VS Code Copilot with the Mapflow MCP Server

GitHub Copilot for Visual Studio Code provides unique advantages when paired with Mapflow through the Model Context Protocol.

VS Code is used by over 70% of developers. adding MCP tools to Copilot means your team can leverage external data without leaving their primary editor

Project-scoped MCP configs (`.vscode/mcp.json`) let you commit server configurations to your repository, ensuring the entire team shares the same tool access

Copilot's Agent mode integrates MCP tools seamlessly with file editing, terminal commands, and workspace search in a single agentic loop

GitHub's enterprise compliance and audit features extend to MCP tool usage, providing visibility into how AI interacts with external services

Mapflow + VS Code Copilot Use Cases

Practical scenarios where VS Code Copilot combined with the Mapflow MCP Server delivers measurable value.

Live API integration: Copilot can query an MCP server, inspect the response schema, and generate typed API client code in the same step

DevSecOps workflows: security teams can give developers access to domain intelligence tools directly in their editor for real-time vulnerability assessment during code review

Data pipeline development: Copilot fetches sample data via MCP and generates transformation scripts, validators, and test fixtures from actual API responses

Documentation generation: Copilot queries available tools and auto-generates README sections, API reference docs, and usage examples

Example Prompts for Mapflow in VS Code Copilot

Ready-to-use prompts you can give your VS Code Copilot agent to start working with Mapflow immediately.

"List available AI models and my active projects."

"Start processing building footprints for the Seattle project."

"Check status of task tsk_8901 and show dataset results."

Troubleshooting Mapflow MCP Server with VS Code Copilot

Common issues when connecting Mapflow to VS Code Copilot through the Vinkius, and how to resolve them.

MCP tools not available

Ensure you are in Agent mode in Copilot Chat. MCP tools only appear in Agent mode.

Mapflow + VS Code Copilot FAQ

Common questions about integrating Mapflow MCP Server with VS Code Copilot.

Which VS Code version supports MCP?

MCP support requires VS Code 1.99 or later with the GitHub Copilot extension. Ensure both are updated to the latest version. Older versions of Copilot may not expose the Agent mode toggle.

How do I switch to Agent mode?

Open the Copilot Chat panel and look for two mode options: "Ask" and "Agent". Click "Agent" to enable autonomous tool calling. In Ask mode, Copilot provides conversational answers but cannot invoke MCP tools.

Can I restrict which MCP tools Copilot can access?

Yes. VS Code shows a tool consent dialog before any MCP tool is invoked for the first time. You can also configure tool access policies at the organization level through GitHub Copilot settings.

Does MCP work in VS Code Remote or Codespaces?

Yes. MCP servers configured via .vscode/mcp.json work in Remote SSH, WSL, and GitHub Codespaces environments. The MCP connection is established from the remote host, so ensure the server URL is accessible from that environment.