- DATA
- LISTS
- HUMAN
- REPORTS
Short answer
How can I use my AI to audit environmental projects?
Your agent uses Cloverly to pull specific data from reforestation and solar initiatives. It can list available projects and fetch deep details for any single initiative to verify impact. You'll get the specific data points needed for your review.
Audit outcomes
What your audit produces
The specific outputs your agent generates from the project data.
DATA
Verified project metrics
The agent pulls raw data from solar or reforestation sites. You get the exact impact numbers you need for your records.
LISTS
Project catalogs
Your agent builds a list of all active environmental initiatives. This helps you find the right projects to audit quickly.
HUMAN
Manual verification
The AI provides the data, but you must decide if the project meets your specific environmental standards.
REPORTS
Audit summaries
The agent organizes the retrieved data into clear summaries. You can use these for internal reviews or compliance checks.
The workflow
What your AI does when the request arrives.
The agent moves from finding projects to extracting specific details.
Identify projects
The agent scans the Cloverly database to find all available environmental initiatives.
list_projectsSelect initiative
After you pick a specific reforestation or solar site, the agent targets that project.
get_projectPull impact data
The agent fetches the specific metrics you requested, like carbon sequestration or energy output.
get_projectVerify details
The agent retrieves the official project records to confirm the accuracy of the impact data.
get_project
Try it
Copy these to start.
Use these prompts to trigger the audit process.
Starting points
Swap out the project types or specific names to match the initiatives you are auditing.
Cloverly Connector
You're all set. Choose your MCP client and follow the setup instructions.
https://edge.vinkius.com/vk_preview_mfDximLhxe4USRwsGYir2iO2hQVeta0HU33TtmHz/mcpClaude Desktop
Follow the steps below to connect in seconds.
- 1In Claude Desktop, open Settings → Connectors.
- 2Click “Add custom connector” and paste the connector link above as the remote MCP server URL.
- 3Click Add and start a new chat — Cloverly capabilities are ready to use.
{
"mcpServers": {
"cloverly-mcp": {
"url": "https://edge.vinkius.com/vk_preview_mfDximLhxe4USRwsGYir2iO2hQVeta0HU33TtmHz/mcp"
}
}
}List all reforestation projects in Cloverly.
Get the details for the solar initiative in the Amazon basin.
Show me the impact data for project ID 98765.
Find all solar projects and tell me which ones have the highest carbon offset.
Claude
ChatGPT
Cursor
VS Code
Windsurf
Claude Code
JetBrains
Cline
Start here
Connect Cloverly once, then ask.
One connection gives your agent access to the project database. Your credentials stay encrypted and secure.
Connect Cloverly to your AIFAQ
How this task behaves
- 01
Can my AI change project data?
No. The agent can only read and pull data from Cloverly; it cannot modify project details or impact metrics.
- 02
Can the AI approve a project for me?
No. The AI provides the data for your audit, but the final approval or verification remains a human task.
- 03
How does the AI find specific projects?
It uses the list_projects tool to see what is available and then get_project to pull specific details.
- 04
Can I audit projects not listed in Cloverly?
No. The agent only has access to the projects provided through the Cloverly connection.
- 05
Does the AI delete any project records?
No. The agent has no capability to delete or remove data from Cloverly.
More questions about Cloverly? The Connector page answers them. See everything the Cloverly Connector can do
Connect Cloverly to Claude, Cursor, ChatGPT & more
