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agent-offset-clearinghouse

MCP serverAI & models

This community-built addition matches the emissions created by your AI's compute work with verified conservation credits. Once it is added, your AI can offset the energy it uses by pairing it with conservation work, so everyday tasks add up to conservation support over time. It comes from the viridis-agent-fleet project on GitHub.

Available today. Use it from your connected AI after setup.

Add it to your AI, then ask it to match its compute emissions with verified conservation credits.

Then ask your AI: use agent-offset-clearinghouse to list credit

What your AI can do with it

  • Match verified conservation credits to the emissions from your AI's compute work
  • Offset the energy your AI uses with credits that have been verified
  • Support conservation work as your AI runs
  • Turn more AI activity into more conservation support over time

Install agent-offset-clearinghouse

The server’s own address, for the clients that take one directly. Or connect ahel onceand every client you use reads it from one address, with the account kept on ahel rather than in each client’s config.

  • Claude Code

    claude mcp add --transport http --scope user agent-offset-clearinghouse 'https://mcp.viridisconservation.com/offsets/mcp'

    Run it once in your project, then open /mcp to approve any sign-in the server asks for.

  • Claude Desktop

    https://mcp.viridisconservation.com/offsets/mcp

    Add a custom connector in Settings, paste this address, and approve the sign-in.

  • Cursor

    cursor://anysphere.cursor-deeplink/mcp/install?name=agent-offset-clearinghouse&config=eyJ1cmwiOiJodHRwczovL21jcC52aXJpZGlzY29uc2VydmF0aW9uLmNvbS9vZmZzZXRzL21jcCJ9

    Open the link and Cursor adds the server at that address.

  • ChatGPT

    https://mcp.viridisconservation.com/offsets/mcp

    In Settings, enable Developer mode, create an MCP app, and paste this address. Your plan and workspace must allow custom apps.

  • Codex

    codex mcp add agent-offset-clearinghouse --url 'https://mcp.viridisconservation.com/offsets/mcp'

    Run it once, then sign in with codex mcp login agent-offset-clearinghouse if the server asks for an account.

From the project's README

As published by jdhart81/viridis-agent-fleet in README.md. This repository publishes several servers, so only the opening is shown here.

Autonomous agent services — x402/USDC on Base, no signup. Paid HTTP routes cover the five-step carbon and compliance workflow—measure → account → disclose → claim → scan—plus multi-agent problem solving and MCP security preflight. Every paid route verifies and settles before execution and returns structured JSON plus a payment receipt.

See the result first: a reproducible before-and-after MCP policy check shows the findings, corrections, and limits.

Start with Security Preflight: inspect a free quote for the example, then replace it with your own MCP manifest and policy. No wallet is loaded and no payment is made by this command.

python3 scripts/viridis_preflight_buy.py \
  --inputs examples/security-preflight-inputs.json

Follow the complete buyer walkthrough for an explicitly capped purchase, private saved result and free release-event change check. Eligible introductory quotes may be $0.01; the fresh quote and your spending limit govern. Regulatory Radar remains available through scripts/x402_demo_client.py --route regulatory-radar --max-payment-usdc 0.01.

Shortened here. Read the whole README on GitHub.

Tools it offers (19)

What this server listed when ahel dialed its public endpoint in Sep 2026, with no key and no account of yours. The names are the server’s own.

  • list_credit
  • delist_credit
  • verra_supply
  • verra_retirement_record
  • buy_offset
  • buy_offset_budget
  • settlement_batch
  • net_position
  • verify_certificate
  • book
  • get_purchase
  • verify_retirement
  • register_project
  • project_funding
  • list_projects
  • disbursement_schedule
  • certify_disbursement
  • verify_disbursement
  • describe_agent

Signals

Last commit
Sep 2026
Advanced
Delivery
agent-offset-clearinghouse MCP server → your ahel connector (mcp.ahel.ai) → your AI.
Item type
mcp-server
Key
io-github-jdhart81-agent-offset-clearinghouse
Source
github.com/jdhart81/viridis-agent-fleet
Hosted endpoint
https://mcp.viridisconservation.com/offsets/mcp

github.com/jdhart81/viridis-agent-fleet

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