How to Use the Watershed Climate MCP in Mastra AI

Q: How does Watershed Climate integrate with Mastra AI?

Mastra AI lets your agent use listinventories to get a master list of all GHG inventories. This helps the workflow choose the correct year and scope for analysis.

Q: How do I validate data with Watershed Climate and Mastra AI?

The workflow runs validateupload against a container before submission. This checks the activity data quality, stopping the process if any errors are found that need fixing first.

Q: Can I set up goals with Watershed Climate and Mastra AI?

Yes. The listreductiontargets tool lets your agent pull all configured emissions reduction targets. This feeds directly into compliance reporting steps.

Automate complex carbon workflows with Mastra AI's robust agent framework.

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Connect Watershed Climate MCP to Mastra AI

Create your Vinkius account to connect Watershed Climate to Mastra AI 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 Watershed Climate with Mastra AI

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Get Detailed GHG Inventory

Need a full breakdown of emissions? The `get_inventory` tool pulls detailed carbon footprint results using an inventory ID. It helps you understand your organization’s emissions composition. This gives you the Scope 1, 2, and 3 numbers needed for accurate corporate reporting.

Handle Data Records in Bulk

Don't manually enter data. Use `upload_data_records` to batch-upload activity records like shipping or energy usage into a container. If something’s wrong, you can fix it first with `update_upload_data_record`. This ensures that when the workflow runs, the input is clean and complete.

Track Submission Processing

When your complex multi-step workflow submits data via `submit_upload`, it generates a task ID. You use `get_task_status` to monitor that process, letting the agent know if processing finished or failed. This prevents the workflow from hanging waiting for results.

Setup guide

Set up Watershed Climate MCP in Mastra AI

Prerequisites

Node.js 18+ and a TypeScript project
@mastra/mcp + @mastra/core packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run npm install @mastra/mcp @mastra/core plus your preferred model provider (e.g. @ai-sdk/openai).
2

Configure the MCPClient
Create an MCPClient with your Vinkius endpoint as a URL object. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and inject tools
Call mcpClient.listTools() and spread the result into your agent's tools object. All Watershed Climate tools become native Mastra tools.
4

Run with any model
Swap openai("gpt-4o") for any AI SDK-compatible provider. Call agent.generate() and the agent routes tool calls through MCP automatically.

agent.ts

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

const mcpClient = new MCPClient({
  id: "watershed-climate-mcp-client",
  servers: {
    "watershed-climate-mcp": {
      url: new URL(
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
      ),
    },
  },
});

const agent = new Agent({
  name: "Watershed Climate Agent",
  model: openai("gpt-4o"),
  instructions: "You have access to Watershed Climate tools.",
  tools: {
    ...(await mcpClient.listTools()),
  },
});

const result = await agent.generate(
  "List recent Watershed Climate transactions"
);
console.log(result.text);

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Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Watershed Climate. 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 Watershed Climate MCP in Mastra AI

Mastra AI lets your agent use `list_inventories` to get a master list of all GHG inventories. This helps the workflow choose the correct year and scope for analysis.

You can automate generating detailed reports by first calling `list_reports` to see what's available. Then, your agent retrieves specific data using `get_report`.

The workflow runs `validate_upload` against a container before submission. This checks the activity data quality, stopping the process if any errors are found that need fixing first.

Yes. The `list_reduction_targets` tool lets your agent pull all configured emissions reduction targets. This feeds directly into compliance reporting steps.

The server primarily touches activity data records, which are the inputs detailing activities generating emissions like energy consumption or travel.

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