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How to Use the Upstream Lens MCP in Cursor

Use Upstream Lens data directly in your code with Cursor's agent mode.

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Works with every AI agent you already use

…and any MCP-compatible client

Upstream Lens MCP on Cursor AI Code Editor MCP Client Upstream Lens MCP on Claude Desktop App MCP Integration Upstream Lens MCP on OpenAI Agents SDK MCP Compatible Upstream Lens MCP on Visual Studio Code MCP Extension Client Upstream Lens MCP on GitHub Copilot AI Agent MCP Integration Upstream Lens MCP on Google Gemini AI MCP Integration Upstream Lens MCP on Lovable AI Development MCP Client Upstream Lens MCP on Mistral AI Agents MCP Compatible Upstream Lens MCP on Amazon AWS Bedrock MCP Support
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Connect Upstream Lens MCP to Cursor

Create your Vinkius account to connect Upstream Lens to Cursor 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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Generate code based on project lists.

Need to write a loop that checks every active site? Use `list_projects` to get the array of environmental projects. You can then inject this live data directly into your function's context. This lets you build working code using real API responses, not just mock stubs.

Incorporate property imagery layers.

When building a dashboard component, use `list_property_imagery` to see what layers are available for a specific property. This tells your agent exactly what data endpoints you need. Pairing this with `get_property_details` gives you the full context for rendering that imagery.

Validate project performance metrics.

If you're writing code to validate well performance, run `list_project_observations`. This tool provides detailed records of what happened on site. The agent can then use this data to build validation logic or error-checking routines.

Setup guide

Set up Upstream Lens MCP in Cursor

Prerequisites

  • Cursor installed (macOS, Windows, or Linux)
  • Active Vinkius subscription with a valid endpoint token
  1. 1

    Open MCP Settings

    Go to Cursor Settings → MCP or open the Command Palette (Cmd+Shift+P / Ctrl+Shift+P) and search for "MCP: Add Server".

  2. 2

    Add the Upstream Lens MCP

    Cursor will create or open .cursor/mcp.json in your project root. Paste the JSON snippet on the right. Replace [YOUR_TOKEN_HERE] with your endpoint token from cloud.vinkius.com.

  3. 3

    Enable Agent mode

    Open Composer (Cmd+I / Ctrl+I) and switch to Agent mode using the dropdown at the top. MCP tools are only available in Agent mode.

  4. 4

    Verify the connection

    Ask Cursor something like "List my recent Upstream Lens transactions." If the MCP tools are loaded correctly, Cursor will call the Upstream Lens tools automatically. You can also check Settings → MCP for a green status indicator.

.cursor/mcp.json
{
  "mcpServers": {
    "upstream-lens-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 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.

Why Choose Vinkius

Vinkius connects your tools to AI with real-time monitoring and automatic cost savings — all from one dashboard.

Real-time monitoring

Live

visibility into every interaction

Connect your favorite tools to your AI and see exactly what's happening — every request, every response, in real time.

Built-in savings

60%

lower AI costs

Vinkius compresses data between your apps and your AI automatically. Lower bills every month — no configuration required.

Single dashboard

One

place for every integration

Every tool your AI connects to, managed from a single screen. One account, complete control.

Common questions about Upstream Lens MCP in Cursor

You create a `.cursor/mcp.json` file and add the server details there, defining either the command or the remote URL. Then, you enable agent mode to let the AI call the tools.
Absolutely. The unique power is that the AI calls the MCP tools and injects live results directly into your code as you're writing it, making sure your functions work.
The server handles production data analytics, well performance tracking, and field reporting tools. You get structured text that lets you build reliable code.
Yes. The MCP Server is hosted on Vinkius, which manages the endpoint token and ensures access for your coding session.
It touches operational project data—specific property features, observation logs, portfolio lists, and organizational metadata. These are all text-based inputs for your code.

Start using the Upstream Lens MCP today

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

Built & Managed by Vinkius 30s setup 8 tools

We've already built the connector for Upstream Lens. Just plug in your AI agents and start using Vinkius.

No hosting. No infrastructure. No complex setup.
All 8 tools are live and waiting. You're up and running in seconds.

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