How to Use the Watershed Climate MCP in Vercel AI SDK

Q: How does Watershed Climate integrate with Vercel AI SDK?

The Vercel AI SDK lets your agent call listuploads to get a list of all current data containers. This allows your client to pick the right spot to add or modify activities.

Q: What can I check with Watershed Climate and Vercel AI SDK?

Your agent uses listreports to see every formatted output available, like CDP disclosures. It gives you metadata about the report type, date, and what scope it covers.

Q: How can I validate data with Watershed Climate using Vercel AI SDK?

The validateupload tool is your best bet here. It checks data quality in an upload container before you submit anything for processing, flagging any errors or warnings.

Q: Can I manage goals with Watershed Climate and Vercel AI SDK?

Yes, use listreductiontargets to see all defined emissions reduction goals. You can track progress against targets aligned with things like net-zero commitments.

Streamline carbon measurement and reporting with your AI client.

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Connect Watershed Climate MCP to Vercel AI SDK

Create your Vinkius account to connect Watershed Climate to Vercel AI SDK 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 Vercel AI SDK

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Claude

Perplexity

Check Inventory Details

Need to see the full picture of emissions? Use `get_inventory` to inspect detailed carbon footprint results. This tool shows you your organization's emissions composition based on a specific inventory ID. It’s key for understanding where Scope 1, 2, and 3 emissions are coming from before generating reports.

Manage Upload Data

Don't just dump data in. Use `upload_data_records` to upload activity records—like electricity use or flights—to an existing container. You can even run a batch update using `update_upload_data_record` if you catch an error. Before submitting, always check the quality with `validate_upload`. This prevents your submission from getting rejected later.

Monitor Processing Status

Submitting data takes time. When you run `submit_upload`, a task is created and returns a task ID. Use `get_task_status` to monitor that process, checking if it finished or failed. This helps your AI client know exactly when the emissions measurements are ready for review.

Setup guide

Set up Watershed Climate MCP in Vercel AI SDK

Prerequisites

Node.js 18+ and a TypeScript project
ai + @modelcontextprotocol/sdk packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies

Run npm install ai @modelcontextprotocol/sdk plus your preferred model provider (e.g. @ai-sdk/openai).
2

Create the Streamable HTTP transport

Use StreamableHTTPClientTransport with your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com.
3

Discover and use tools

Call mcpClient.tools() to auto-discover all Watershed Climate tools. Pass them directly to generateText() or streamText() — no manual schema definitions needed.
4

Works with any model provider

Swap openai("gpt-4o") for any AI SDK provider — Anthropic, Google, Mistral. The MCP tools work identically across all supported models.

index.ts

import { experimental_createMCPClient as createMCPClient } from "ai";
import { StreamableHTTPClientTransport } from "@modelcontextprotocol/sdk/client/streamableHttp";
import { generateText } from "ai";
import { openai } from "@ai-sdk/openai";

const transport = new StreamableHTTPClientTransport(
  new URL("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
);

const mcpClient = await createMCPClient({ transport });
const tools = await mcpClient.tools();

const { text } = await generateText({
  model: openai("gpt-4o"),
  tools,
  prompt: "List recent Watershed Climate transactions",
});

console.log(text);
await mcpClient.close();

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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 Vercel AI SDK

The Vercel AI SDK lets your agent call `list_uploads` to get a list of all current data containers. This allows your client to pick the right spot to add or modify activities.

Your agent uses `list_reports` to see every formatted output available, like CDP disclosures. It gives you metadata about the report type, date, and what scope it covers.

The `validate_upload` tool is your best bet here. It checks data quality in an upload container before you submit anything for processing, flagging any errors or warnings.

Yes, use `list_reduction_targets` to see all defined emissions reduction goals. You can track progress against targets aligned with things like net-zero commitments.

The server touches structured activity data records, which detail activities generating emissions (e.g., electricity consumption or business travel).

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