# Watershed Climate MCP for AI Agents AI Agent Connect > Watershed Climate MCP lets you manage your entire carbon footprint directly from your AI agent. You can upload activity data like electricity or travel, check GHG inventories, track reduction targets, and pull sustainability reports without leaving your workspace. It turns your agent into a dedicated carbon accounting specialist. ## Overview - **Category:** the-unthinkable - **Price:** Free - **Endpoint:** https://edge.vinkius.com/vk_preview_svbUSyLT0Fyy3BlxNle3W7x9VHoKVZUrNfKc7l2A/ai-agent-connect - **Tags:** carbon-accounting, emissions-tracking, sustainability, esg-reporting, climate-data, data-ingestion ## Description Managing a company's carbon footprint usually means jumping between messy spreadsheets and complex dashboards. You have to manually upload data, wait for calculations to run, and then hunt for specific numbers to put into your ESG reports. This Connector changes that by letting your AI agent handle the heavy lifting. Instead of clicking through menus, you can just tell your agent to create a new upload container, batch-upload your monthly electricity records, and validate them in one go. It handles the data ingestion for things like shipping and travel while you focus on the bigger picture. You can ask your agent to pull specific emission measurements for a certain year or check the progress of your SBTi reduction targets. Because Vinkius makes it easy to connect these tools, you get a dedicated sustainability analyst that knows your organization's specific data. You'll stop worrying about whether a CSV formatted correctly and start spending more time on actual climate strategy. ## Tools ### create_upload Creates a new container to group and manage your activity data records. ### get_upload Shows the details of a specific data upload container before you add records to it. ### list_inventories Lists every GHG inventory in your organization, showing years and total emissions. ### list_measurements Shows all carbon footprint values with filters for specific years or inventories. ### list_reduction_targets Lists your organization's goals for emissions reductions, like SBTi or net-zero targets. ### list_reports Shows all available sustainability reports in your Watershed organization. ### list_upload_data_records Shows all data records inside a specific upload so you can review them before validation. ### list_uploads Lists all existing upload containers and their IDs in your organization. ### submit_upload Triggers the calculation engine to turn your validated activity data into emissions measurements. ### update_upload_data_record Fixes errors or changes activity data within a specific upload record. ### upload_data_records Adds activity records like electricity or flights to an existing upload container. ### validate_upload Checks your data for errors or warnings before you submit it for processing. ### delete_upload_data_record Removes a specific record from an upload if you find an error before you submit it. ### get_inventory Pulls detailed carbon footprint results and emissions composition for a specific inventory. ### get_report Accesses the full details of a generated report, including disclosure frameworks and summaries. ### get_task_status Checks if a large data submission is still processing, finished, or failed. ## Prompt Examples **Prompt:** ``` Can you show me our Scope 2 emissions for last year and tell me if we're hitting our reduction goals? ``` **Response:** ``` I've pulled your Scope 2 data for 2023. Your total energy emissions were **4,200 tCO2e**. **Progress toward goals:** * **SBTi 2030 Target:** You've achieved a 28% reduction so far. * **Net-Zero 2040:** You are currently at a 35% reduction from your 2019 baseline. You're currently on track for the 2030 target. Would you like to see the breakdown by office location? ``` **Prompt:** ``` I need to upload our shipping data for Q1. Can you create an upload for 'Q1 Logistics' and add these 3 records: 500 tons for NYC, 300 tons for London, and 200 tons for Paris? ``` **Response:** ``` I've set that up for you: 1. Created 'Q1 Logistics' upload. 2. Added the 3 shipping records for NYC, London, and Paris. 3. Validated the data (all records passed). 4. Submitted for processing (Task ID: log_789). I'll keep an eye on the processing status for you. Do you want me to check if it's finished in a few minutes? ``` **Prompt:** ``` What reports do we have available for our latest sustainability disclosure? ``` **Response:** ``` I found 3 reports available in your Watershed account: * **CDP Disclosure 2024** (Generated: Jan 15) * **TCFD Report - FY23** (Generated: Feb 02) * **Custom Carbon Summary** (Generated: Mar 10) Would you like me to pull the full details for any of these? ``` ## Capabilities ### Upload activity data Send electricity, travel, and shipping records directly to your carbon inventory. ### Batch ingest records Add multiple data points at once to save time on repetitive manual entries. ### Query GHG inventories Get a breakdown of Scope 1, 2, and 3 emissions for any specific year. ### Monitor processing tasks Check the real-time status of large data submissions as they calculate. ### Access sustainability reports Pull ready-made CDP or TCFD disclosures for your next audit. ### Track reduction targets View your progress toward net-zero and SBTi commitments instantly. ## Use Cases ### Monthly Electricity Reporting A sustainability manager asks their agent to create a new upload for January electricity, add records for 5 offices, and submit them for processing. ### ESG Audit Preparation An analyst asks the agent to list all CDP reports and pull the specific emissions measurements for 2023 to verify data for an audit. ### Net-Zero Goal Tracking A climate lead asks the agent to show current progress on the SBTi 2030 target and list all active reduction goals. ### Supply Chain Data Cleanup An operations lead finds errors in shipping data and asks the agent to update specific records using update_upload_data_record before re-validating. ## Benefits - Stop manual CSV uploads: Use upload_data_records to send electricity and travel data directly to your inventory. - Faster data validation: Use validate_upload to catch errors before they hit your production carbon measurements. - Instant inventory access: Query Scope 1, 2, and 3 data quickly using list_measurements and get_inventory. - Easier report generation: Pull CDP and TCFD disclosures instantly with list_reports and get_report. - Real-time progress tracking: Stay on top of your net-zero goals by checking list_reduction_targets at any time. - Automated task monitoring: Use get_task_status to know exactly when your large data batches are ready. ## How It Works The bottom line is you get a direct line for your AI agent to manage your carbon data without opening the Watershed dashboard. 1. Subscribe to the Watershed Climate MCP on Vinkius. 2. Add your Watershed API Key from your dashboard. 3. Ask your agent to create an upload and start adding data records. ## Frequently Asked Questions **Can the Watershed Climate MCP help me automate my carbon data uploads?** Yes, it lets your AI agent handle the process of creating upload containers, adding activity records like electricity or travel, and submitting them for processing automatically. **How does the Watershed Climate MCP handle GHG inventory data?** You can ask your agent to list all your inventories or pull detailed breakdowns of Scope 1, 2, and 3 emissions for specific years directly through the chat. **Can I use the Watershed Climate MCP to check my progress on net-zero targets?** Yes, the Connector can retrieve your configured reduction targets and show you the current progress toward your SBTi or other net-zero commitments. **Does the Watershed Climate MCP support ESG reporting like CDP or TCFD?** It can list and access your generated sustainability reports, allowing your agent to pull summary data for various disclosure frameworks. **Can my AI agent fix errors in my carbon data using the Watershed Climate MCP?** Yes, your agent can identify errors during validation and use the tool to update specific records with the correct information before you submit them. **How do I know if my large data submissions are finished?** The Connector allows your agent to check the real-time status of any processing task, so you can get notified as soon as your data is ready. **What is the workflow to upload activity data and get emissions calculated in Watershed?** The complete workflow is: (1) Use `create_upload` to create an upload container, (2) Use `upload_data_records` to add your activity data records (electricity, flights, shipping, etc.), (3) Use `validate_upload` to check data quality and fix any errors, (4) Use `submit_upload` to send data for emissions calculation, (5) Use `get_task_status` with the returned task_id to monitor processing. Once complete, your measurements appear in the inventory. **Can I check my organization's total carbon footprint for a specific year?** Yes! Use `list_inventories` to find your organization's GHG inventories by year. Then use `get_inventory` with the specific inventory_id to see the complete emissions breakdown by Scope 1 (direct), Scope 2 (energy), and Scope 3 (value chain). You can also use `list_measurements` with the year filter to see individual measurement details across all inventories. **Where do I find my Watershed API key and how do I generate one?** Log in to your Watershed dashboard at dashboard.watershedclimate.com, navigate to **Organization Settings** in the left menu, then go to the **API** section. Click to generate a new API key. Copy and save this key immediately — it won't be shown again. The key typically starts with `wh_`. Keep it secure as it provides full access to your organization's climate data. **What types of activity data can I upload to Watershed?** Watershed accepts a wide range of activity data including: electricity and energy consumption (kWh, therms), business travel (flights, hotels, rental cars), employee commuting, freight and shipping (ton-miles, kg-km), waste generated, water usage, and purchased goods/services. Each record needs fields like activity_type, quantity, unit, start_date, end_date, and optionally location and spend_amount for accurate emissions calculation.