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How to install mcp-neo4j-data-modeling in VS Code

To install mcp-neo4j-data-modeling in VS Code, click "Add to VS Code" on this page or add the "mcp-neo4j-data-modeling" block under "servers" in .vscode/mcp.json, then pick it in Copilot Chat agent mode.

Built from the published package · server updated 1 month ago

  1. 1

    One click (fastest)

    Click the button to open VS Code with this server ready to install.

    Add mcp-neo4j-data-modeling to VS Code
  2. 2

    Or add it by hand

    Create .vscode/mcp.json and paste this. Note that VS Code uses "servers", not "mcpServers".

    {
      "servers": {
        "mcp-neo4j-data-modeling": {
          "command": "uvx",
          "args": [
            "mcp-neo4j-data-modeling"
          ]
        }
      }
    }
  3. 3

    Start it in Copilot Chat

    Open Copilot Chat in Agent mode and pick the server from the tools menu.

Config file: .vscode/mcp.json in your workspace

MCP servers run with your permissions. If mcp-neo4j-data-modeling needs an API key, add it under env in the config. Check its README.

Install mcp-neo4j-data-modeling in another app

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Questions

Does mcp-neo4j-data-modeling work in VS Code?

Yes. VS Code supports local and remote mcp servers in copilot agent mode, and mcp-neo4j-data-modeling installs with the steps above.

mcp-neo4j-data-modeling does not show up in VS Code. What now?

Restart VS Code fully, check the JSON is valid, and make sure uv (for uvx) is installed. See common MCP errors and fixes.

Is mcp-neo4j-data-modeling safe?

It scores 79 of 100. Review the code before you install it, and only give it the access it needs. Grades and details.