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How to Use the Felt (Collaborative Maps) MCP in VS Code Copilot

Deploy the Felt (Collaborative Maps) MCP Server across your engineering team in VS Code Copilot for shared mapping workflows.

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VS Code Copilot

Connect Felt (Collaborative Maps) MCP to VS Code Copilot

Create your Vinkius account to connect Felt (Collaborative Maps) 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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Team-Wide Map Operations

Commit your `mcp.json` to the repo so every developer has access to `create_map`. This ensures your team stays on the same page when starting new spatial projects. It standardizes your workflow. No one needs to manually configure their setup when the tools are already defined at the project root.

Efficient Layer Population

Use `add_elements` to populate maps with team data during local development. This keeps your collaborative maps updated as you push new features. It works reliably across different machines. Your agent handles the ingestion of GeoJSON or CSV data, ensuring every layer is formatted correctly.

Granular Element Control

Maintain your map accuracy with `update_element` and `delete_element`. These tools allow your Copilot agent to correct map markers as your requirements evolve. It is a precise way to manage state. You stay in the flow while your agent handles the heavy lifting of updating individual map components.

Setup guide

Set up Felt (Collaborative Maps) 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. 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. 2

    Add the Felt (Collaborative Maps) 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. 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. 4

    Verify the connection

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

.vscode/mcp.json
{
  "mcpServers": {
    "felt-collaborative-maps-mcp": {
      "url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    }
  }
}

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Felt. 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 Felt (Collaborative Maps) MCP in VS Code Copilot

Create a .vscode/mcp.json file in your project. Add the server entry, and the tools will appear in your Copilot chat when you switch to agent mode.
It provides a shared way to handle map data. Your entire team can use the same tools to push updates to your collaborative maps.
Configuration is file-based, so you control access via your repository permissions. Only those with access to the repo can use these tools.
You only need the endpoint token provided by Vinkius. It handles the secure handshake so your team can focus on building.
The server operates on a zero-trust model. Your map coordinates and layer data are processed in an ephemeral sandbox to ensure privacy.

Start using the Felt (Collaborative Maps) MCP today

We host it, we monitor it, we maintain it. You just paste one token.

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We've already built the connector for Felt (Collaborative Maps). Just plug in your AI agents and start using Vinkius.

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