How to Use the Mapillary MCP in VS Code Copilot

Q: How do we configure Mapillary for our entire team in VS Code Copilot using this MCP Server?

You add the server configuration to your project's .vscode/mcp.json file and commit it to your repository. Every developer on your team using VS Code Copilot will automatically have access to the spatial tools.

Q: Can VS Code Copilot retrieve specific object coordinates from Mapillary?

Yes, getimagedetections extracts the exact geometry and confidence scores for objects in an image. VS Code Copilot can parse this data to help you build local mapping databases.

Q: How do we query specific traffic sign attributes?

Use getdetectionvalue to fetch the type, GPS coordinates, and associated image of a sign. VS Code Copilot reads this structured payload to help you write precise data validation scripts.

Equip your engineering team with Mapillary street-level imagery and detection data directly inside VS Code Copilot.

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Connect Mapillary MCP to VS Code Copilot

Create your Vinkius account to connect Mapillary to VS Code Copilot and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Mapillary with VS Code Copilot

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Share Mapillary tools across your engineering team

`search_images` queries street-level photos across a bounding box directly inside your VS Code Copilot agent. By checking in a shared configuration file, your entire team instantly gains access to the same spatial endpoints. The agent uses the returned image IDs and compass angles to help developers write and test geographic data pipelines. This ensures every team member works with identical API schemas.

Verify road features using this MCP Server

`get_map_features` retrieves localized traffic sign data and road features inside VS Code Copilot. Your team can run queries to verify infrastructure assets without leaving the code editor. This MCP Server runs on Vinkius, which handles authentication for the entire team through a single secure endpoint. Developers write code using real confidence scores and feature types without managing individual API keys.

Parse continuous image sequences in Copilot Chat

`get_sequence` fetches chronological image lists and creation dates for specific driving routes. VS Code Copilot uses this sequence data to help you write logic for tracking changes over time. Combining this with `search_sequences` lets your agent map entire driving paths. Your team can build automated street-monitoring software directly from the chat interface.

Setup guide

Set up Mapillary MCP in VS Code Copilot

Prerequisites

VS Code 1.99 or later with GitHub Copilot extension
Active Vinkius subscription with a valid endpoint token

1

Open MCP configuration

Open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and run "MCP: Add Server". Select HTTP (Streamable) as the server type. VS Code will create .vscode/mcp.json in your workspace.
2

Add the Mapillary MCP

Paste the JSON snippet shown on the right into your .vscode/mcp.json. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.
3

Switch to Agent mode

Open Copilot Chat (Cmd+Shift+I / Ctrl+Shift+I) and switch to Agent mode using the dropdown. MCP tools are only available in Agent mode — they do not appear in Edit or Ask modes.
4

Verify the connection

In the Copilot Chat input, type # to list available tools. You should see the Mapillary tools listed. Try asking: "List my recent Mapillary transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Mapillary. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.

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Common questions about Mapillary MCP in VS Code Copilot

You add the server configuration to your project's `.vscode/mcp.json` file and commit it to your repository. Every developer on your team using VS Code Copilot will automatically have access to the spatial tools.

Yes, `get_image_detections` extracts the exact geometry and confidence scores for objects in an image. VS Code Copilot can parse this data to help you build local mapping databases.

No, Vinkius manages the authentication centrally, letting your team connect to the API using one secure token. Your VS Code Copilot agent communicates through this single managed endpoint.

Use `get_detection_value` to fetch the type, GPS coordinates, and associated image of a sign. VS Code Copilot reads this structured payload to help you write precise data validation scripts.

Vinkius routes all requests through an ephemeral, zero-trust V8 sandbox that does not store your Mapillary API keys or query coordinates. Your spatial data and tokens remain completely isolated, meeting enterprise security standards.

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