How to Use the Upstream Lens MCP in VS Code Copilot

Q: How do I set up Upstream Lens with VS Code Copilot?

The best way is to commit the configuration file, .vscode/mcp.json, to your project root. This makes it available to every developer on the team automatically.

Q: Can I query the status of Upstream Lens with VS Code Copilot?

Yes. You can use checkapihealth or getorganizationinfo within your code to validate connectivity and metadata before running core logic.

Standardize field data access across your team using Upstream Lens with VS Code Copilot.

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Connect Upstream Lens MCP to VS Code Copilot

Create your Vinkius account to connect Upstream Lens 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 Upstream Lens with VS Code Copilot

Ask AI about this MCP

ChatGPT

Claude

Perplexity

Manage and track multiple investment portfolios.

For engineering teams, start by running `list_portfolios` to see all available asset groupings. This provides a quick map of the operational scope. The team can then use `get_property_details` to pull specific feature data for any portfolio listed.

Check overall system health and context.

When setting up new code, running `check_api_health` confirms the entire MCP Server is responsive. Also use `get_organization_info` to pull required organizational metadata right at the start of your script. This ensures all developers are working with the same foundational context.

Consolidate project documentation.

To build a complete report, first call `list_project_notes` to get general written updates. Then follow up by using `list_project_observations` for detailed records of field activity. The team can treat these two data streams as one source of truth.

Setup guide

Set up Upstream Lens 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 Upstream Lens 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 Upstream Lens tools listed. Try asking: "List my recent Upstream Lens transactions" and Copilot will invoke them automatically.

.vscode/mcp.json

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Upstream Lens. 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 Upstream Lens MCP in VS Code Copilot

The best way is to commit the configuration file, `.vscode/mcp.json`, to your project root. This makes it available to every developer on the team automatically.

Yes. Because the config is committed via Git, all developers share the same tool access without manual setup or individual permissions issues.

The server provides operational analytics covering projects, portfolios, property features, and historical notes. It's designed to feed structured context into your engineering workflow.

Yes. You can use `check_api_health` or `get_organization_info` within your code to validate connectivity and metadata before running core logic.

It manages project status, asset inventories (portfolios), property features, and text-based field reports. The data is critical for oil/gas operations reporting.

Use it with your favorite AI tools

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