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Cloverly MCP Server for OpenAI Agents SDKGive OpenAI Agents SDK instant access to 12 tools to Check Cloverly Status, Create Estimate, Create Purchase, and more

Built by Vinkius GDPR 12 Tools SDK

The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect Cloverly through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.

Use with Your AI Agent

Ask AI about this App Connector for OpenAI Agents SDK

Open in ChatGPT Open in Claude Open in Perplexity

The Cloverly app connector for OpenAI Agents SDK is a standout in the Data Analytics category — giving your AI agent 12 tools to work with, ready to go from day one.

Vinkius delivers Streamable HTTP and SSE to any MCP client

python
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    async with MCPServerStreamableHttp(
        url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ) as mcp_server:

        agent = Agent(
            name="Cloverly Assistant",
            instructions=(
                "You help users interact with Cloverly. "
                "You have access to 12 tools."
            ),
            mcp_servers=[mcp_server],
        )

        result = await Runner.run(
            agent, "List all available tools from Cloverly"
        )
        print(result.final_output)

asyncio.run(main())
Cloverly
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Stream every event to Splunk, Datadog, or your own webhook in real-time

* 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

About 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.

The OpenAI Agents SDK auto-discovers all 12 tools from Cloverly through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries Cloverly, another analyzes results, and a third generates reports, all orchestrated through Vinkius.

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

The Cloverly MCP Server exposes 12 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.

All 12 Cloverly tools available for OpenAI Agents SDK

When OpenAI Agents SDK connects to Cloverly through Vinkius, your AI agent gets direct access to every tool listed below — spanning carbon-offsetting, sustainability, emissions-tracking, and more. Every call is secured with network, filesystem, subprocess, and code evaluation entitlements inside a sandboxed runtime. Beyond a simple connection, you get a full AI Gateway with real-time visibility into agent activity, enterprise governance, and optimized token usage.

check_cloverly_status

Verify connectivity

create_estimate

Create a carbon estimate

create_purchase

Purchase carbon offsets

get_account

Get account info

get_estimate

Get estimate details

get_impact_by_type

Get impact by type

get_impact_summary

Get impact summary

get_project

Get project details

get_purchase

Get purchase details

list_estimates

List estimates

list_projects

List offset projects

list_purchases

List purchases

Connect Cloverly to OpenAI Agents SDK via MCP

Follow these steps to wire Cloverly into OpenAI Agents SDK. The entire setup takes under two minutes — your credentials stay safe behind the Vinkius.

01

Install the SDK

Run pip install openai-agents in your Python environment
02

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
03

Run the script

Save the code above and run it: python agent.py
04

Explore tools

The agent will automatically discover 12 tools from Cloverly

Why Use OpenAI Agents SDK with the Cloverly MCP Server

OpenAI Agents SDK provides unique advantages when paired with Cloverly through the Model Context Protocol.

01

Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety

02

Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure

03

Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate

04

First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output

Cloverly + OpenAI Agents SDK Use Cases

Practical scenarios where OpenAI Agents SDK combined with the Cloverly MCP Server delivers measurable value.

01

Automated workflows: build agents that query Cloverly, process the data, and trigger follow-up actions autonomously

02

Multi-agent orchestration: create specialist agents. one queries Cloverly, another analyzes results, a third generates reports

03

Data enrichment pipelines: stream data through Cloverly tools and transform it with OpenAI models in a single async loop

04

Customer support bots: agents query Cloverly to resolve tickets, look up records, and update statuses without human intervention

Example Prompts for Cloverly in OpenAI Agents SDK

Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with Cloverly immediately.

01

"Calculate the carbon footprint for a 10kg shipment from Berlin to Paris."

02

"List the available reforestation projects on Cloverly."

03

"Show the status of my latest offset purchase 'pur_456'."

Troubleshooting Cloverly MCP Server with OpenAI Agents SDK

Common issues when connecting Cloverly to OpenAI Agents SDK through the Vinkius, and how to resolve them.

01

MCPServerStreamableHttp not found

Ensure you have the latest version: pip install --upgrade openai-agents
02

Agent not calling tools

Make sure your prompt explicitly references the task the tools can help with.

Cloverly + OpenAI Agents SDK FAQ

Common questions about integrating Cloverly MCP Server with OpenAI Agents SDK.

01

How does the OpenAI Agents SDK connect to MCP?

Use MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.
02

Can I use multiple MCP servers in one agent?

Yes. Pass a list of MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.
03

Does the SDK support streaming responses?

Yes. The SDK supports SSE and Streamable HTTP transports, both of which work natively with Vinkius.