Bring Carbon Offsetting
to LlamaIndex
Learn how to connect Cloverly to LlamaIndex and start using 12 AI agent tools in minutes. Fully managed, enterprise secure, and ready to use without writing a single line of code.
What is the Cloverly MCP Server?
Connect your Cloverly account to any AI agent and take full control of your sustainability initiatives and automated carbon management workflows through natural conversation.
What you can do
- Footprint Orchestration — Calculate real-time carbon footprint estimates for diverse activities including logistics (freight, shipping), travel (flights, vehicles), and energy usage programmatically
- Automated Offset Ingestion — Execute the purchase of carbon offsets based on specific activity estimates or fixed currency amounts to maintain high-fidelity sustainability compliance
- Project Intelligence — Access your complete directory of high-impact environmental projects (wind, solar, reforestation) to understand the source of your offsets directly through your agent
- Transaction Monitoring — Programmatically track your purchase history and retrieve detailed metadata, certificates, and receipts for operational and regulatory reporting
- Sustainability Visibility — Check the status of individual offset purchases and monitor account-level metadata to perfectly coordinate your organization's climate action
How it works
1. Subscribe to this server
2. Retrieve your Public and Private API Keys from the Cloverly dashboard (Settings > API)
3. Start offsetting your business operations from Claude, Cursor, or any MCP client
No more manual footprint spreadsheets or searching for carbon certificates in the portal. Your AI acts as your dedicated sustainability engineer and climate coordinator.
Who is this for?
- Sustainability Managers — instantly calculate project footprints and manage offset portfolios using natural language commands
- Logistics & E-commerce Ops — automate carbon offsetting for every shipment and monitor environmental impact without leaving your workspace
- Growth Engineers — integrate real-time carbon calculation and purchase features into custom internal tools through simple AI queries
Built-in capabilities (12)
Verify connectivity
Create a carbon estimate
Purchase carbon offsets
Get account info
Get estimate details
Get impact by type
Get impact summary
Get project details
Get purchase details
List estimates
List offset projects
List purchases
Why LlamaIndex?
LlamaIndex agents combine Cloverly tool responses with indexed documents for comprehensive, grounded answers. Connect 12 tools through Vinkius and query live data alongside vector stores and SQL databases in a single turn. ideal for hybrid search, data enrichment, and analytical workflows.
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Data-first architecture: LlamaIndex agents combine Cloverly tool responses with indexed documents for comprehensive, grounded answers
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Query pipeline framework lets you chain Cloverly tool calls with transformations, filters, and re-rankers in a typed pipeline
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Multi-source reasoning: agents can query Cloverly, a vector store, and a SQL database in a single turn and synthesize results
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Observability integrations show exactly what Cloverly tools were called, what data was returned, and how it influenced the final answer
Cloverly in LlamaIndex
Cloverly and 3,400+ other MCP servers. One platform. One governance layer.
Teams that connect Cloverly to LlamaIndex through Vinkius don't need to source, host, or maintain individual MCP servers. Every tool call runs inside a hardened runtime with credential isolation, DLP, and a signed audit chain.
Raw MCP | Vinkius | |
|---|---|---|
| Server catalog | Find and host yourself | 3,400+ managed |
| Infrastructure | Self-hosted | Sandboxed V8 isolates |
| Credential handling | Plaintext in config | Vault + runtime injection |
| Data loss prevention | None | Configurable DLP policies |
| Kill switch | None | Global instant shutdown |
| Financial circuit breakers | None | Per-server limits + alerts |
| Audit trail | None | Ed25519 signed logs |
| SIEM log streaming | None | Splunk, Datadog, Webhook |
| Honeytokens | None | Canary alerts on leak |
| Custom domains | Not applicable | DNS challenge verified |
| GDPR compliance | Manual effort | Automated purge + export |
Why teams choose Vinkius for Cloverly in LlamaIndex
The Cloverly MCP Server runs on Vinkius-managed infrastructure inside AWS — a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts. All 12 tools execute in hardened sandboxes optimized for native MCP execution.
Your AI agents in LlamaIndex only access the data you authorize, with DLP that blocks sensitive information from ever reaching the model, kill switch for instant shutdown, and up to 60% token savings. Enterprise-grade infrastructure, zero maintenance.
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
How Vinkius secures
Cloverly for LlamaIndex
Every tool call from LlamaIndex to the Cloverly MCP Server is protected by DLP redaction, cryptographic audit chains, V8 sandbox isolation, kill switch, and financial circuit breakers.
Frequently asked questions
How do I find my Cloverly API Keys?
Log in to your account, navigate to Settings > API, and you will find your Public and Private keys for both Production and Sandbox environments.
Can I calculate carbon for shipping packages?
Yes! The create_estimate tool allows you to provide weight and distance parameters to get an accurate carbon footprint for logistics.
How do I retrieve a carbon certificate?
After a successful purchase, use the get_purchase_status tool to retrieve the unique certificate and receipt URL for your record.
How does LlamaIndex connect to MCP servers?
Use the MCP client adapter to create a connection. LlamaIndex discovers all tools and wraps them as query engine tools compatible with any LlamaIndex agent.
Can I combine MCP tools with vector stores?
Yes. LlamaIndex agents can query Cloverly tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.
Does LlamaIndex support async MCP calls?
Yes. LlamaIndex's async agent framework supports concurrent MCP tool calls for high-throughput data processing pipelines.
BasicMCPClient not found
Install: pip install llama-index-tools-mcp