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Upstream Lens MCP Server for Mastra AIGive Mastra AI instant access to 8 tools to Check Api Health, Get Organization Info, Get Property Details, and more

Built by Vinkius GDPR 8 Tools SDK

Mastra AI is a TypeScript-native agent framework built for modern web stacks. Connect Upstream Lens through Vinkius and Mastra agents discover all tools automatically. type-safe, streaming-ready, and deployable anywhere Node.js runs.

Ask AI about this App Connector for Mastra AI

The Upstream Lens app connector for Mastra AI is a standout in the Data Analytics category — giving your AI agent 8 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

typescript
import { Agent } from "@mastra/core/agent";
import { createMCPClient } from "@mastra/mcp";
import { openai } from "@ai-sdk/openai";

async function main() {
  // Your Vinkius token. get it at cloud.vinkius.com
  const mcpClient = await createMCPClient({
    servers: {
      "upstream-lens": {
        url: "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp",
      },
    },
  });

  const tools = await mcpClient.getTools();
  const agent = new Agent({
    name: "Upstream Lens Agent",
    instructions:
      "You help users interact with Upstream Lens " +
      "using 8 tools.",
    model: openai("gpt-4o"),
    tools,
  });

  const result = await agent.generate(
    "What can I do with Upstream Lens?"
  );
  console.log(result.text);
}

main();
Upstream Lens
Fully ManagedVinkius Servers
60%Token savings
High SecurityEnterprise-grade
IAMAccess control
EU AI ActCompliant
DLPData protection
V8 IsolateSandboxed
Ed25519Audit chain
<40msKill switch
Stream every event to Splunk, Datadog, or your own webhook in real-time

* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure

About Upstream Lens MCP Server

Connect your Upstream Tech Lens account to any AI agent and simplify how you monitor conservation projects, analyze satellite imagery, and track environmental changes through natural conversation.

Mastra's agent abstraction provides a clean separation between LLM logic and Upstream Lens tool infrastructure. Connect 8 tools through Vinkius and use Mastra's built-in workflow engine to chain tool calls with conditional logic, retries, and parallel execution. deployable to any Node.js host in one command.

What you can do

  • Project & Portfolio Oversight — List all environmental projects and portfolios to manage your conservation assets.
  • Imagery Analysis — Query available satellite imagery layers (Sentinel, Landsat, etc.) for specific property features.
  • Geospatial Insights — Fetch detailed metadata and field observations for properties to track ground-truth data.
  • Environmental Monitoring — List project notes and observations to keep a record of changes over time.
  • Organization Management — Retrieve Lens organization profiles and verify account configurations.
  • Operational Status — Check API health and connectivity to ensure your monitoring engine is always active.

The Upstream Lens MCP Server exposes 8 tools through the Vinkius. Connect it to Mastra AI in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 8 Upstream Lens tools available for Mastra AI

When Mastra AI connects to Upstream Lens through Vinkius, your AI agent gets direct access to every tool listed below — spanning satellite-imagery, environmental-monitoring, remote-sensing, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_api_health

Check Lens API health

get_organization_info

Get organization metadata

get_property_details

Get details for a specific property feature

list_portfolios

List all portfolios

list_project_notes

Can be filtered by update date. List observations and notes for a project

list_project_observations

List detailed project observations

list_projects

List all environmental projects

list_property_imagery

) for a specific property. List available imagery layers for a property

Connect Upstream Lens to Mastra AI via MCP

Follow these steps to wire Upstream Lens into Mastra AI. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install dependencies

Run npm install @mastra/core @mastra/mcp @ai-sdk/openai
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token
03

Run the agent

Save to agent.ts and run with npx tsx agent.ts
04

Explore tools

Mastra discovers 8 tools from Upstream Lens via MCP

Why Use Mastra AI with the Upstream Lens MCP Server

Mastra AI provides unique advantages when paired with Upstream Lens through the Model Context Protocol.

01

Mastra's agent abstraction provides a clean separation between LLM logic and tool infrastructure. add Upstream Lens without touching business code

02

Built-in workflow engine chains MCP tool calls with conditional logic, retries, and parallel execution for complex automation

03

TypeScript-native: full type inference for every Upstream Lens tool response with IDE autocomplete and compile-time checks

04

One-command deployment to any Node.js host. Vercel, Railway, Fly.io, or your own infrastructure

Upstream Lens + Mastra AI Use Cases

Practical scenarios where Mastra AI combined with the Upstream Lens MCP Server delivers measurable value.

01

Automated workflows: build multi-step agents that query Upstream Lens, process results, and trigger downstream actions in a typed pipeline

02

SaaS integrations: embed Upstream Lens as a first-class tool in your product's AI features with Mastra's clean agent API

03

Background jobs: schedule Mastra agents to query Upstream Lens on a cron and store results in your database automatically

04

Multi-agent systems: create specialist agents that collaborate using Upstream Lens tools alongside other MCP servers

Example Prompts for Upstream Lens in Mastra AI

Ready-to-use prompts you can give your Mastra AI agent to start working with Upstream Lens immediately.

01

"List all active environmental projects in my Lens account."

02

"Show me the latest field notes for the 'Amazon Restoration' project."

03

"List available satellite imagery layers for property 'feat_10293'."

Troubleshooting Upstream Lens MCP Server with Mastra AI

Common issues when connecting Upstream Lens to Mastra AI through the Vinkius, and how to resolve them.

01

createMCPClient not exported

Install: npm install @mastra/mcp

Upstream Lens + Mastra AI FAQ

Common questions about integrating Upstream Lens MCP Server with Mastra AI.

01

How does Mastra AI connect to MCP servers?

Create an MCPClient with the server URL and pass it to your agent. Mastra discovers all tools and makes them available with full TypeScript types.
02

Can Mastra agents use tools from multiple servers?

Yes. Pass multiple MCP clients to the agent constructor. Mastra merges all tool schemas and the agent can call any tool from any server.
03

Does Mastra support workflow orchestration?

Yes. Mastra has a built-in workflow engine that lets you chain MCP tool calls with branching logic, error handling, and parallel execution.