Integrate Greenspark with Claude, Cursor, Chatbots & AI Agents MCP Server
GDPR Free for SubscribersCompatible with every major AI agent and IDE
GeminiCreate impact on Greenspark
Trigger a new climate impact (e.g. plant a tree)
Create webhook on Greenspark
Configure a new API webhook
Estimate footprint on Greenspark
Calculate the carbon footprint of a transaction
Get impact on Greenspark
Get details for a specific impact record
Get impact summary on Greenspark
Get total aggregated impact data for the account
Get project on Greenspark
Get details for a specific environmental project
Get subscription on Greenspark
Get details of the account Greenspark subscription
List badges on Greenspark
List available impact badges and widgets
List impact types on Greenspark
List available types of climate impact
List impacts on Greenspark
List historical climate impacts generated
List projects on Greenspark
List environmental projects supported by Greenspark
List webhooks on Greenspark
List configured API webhooks
Security & Code Integrity Audit
Every tool in the Greenspark MCP Server is continuously audited by the Vinkius Security Engine. We guarantee zero-trust payload isolation, strict data boundaries, and deterministic execution for enterprise-grade AI agents.
How Vinkius protects your data
Can I set different limits for each virtual assistant on my team?
Absolutely. You have full control in our command center. You can create an AI agent that only "reads" data so the support team can answer questions, and another superpowered agent that can "edit" and "create" information exclusively for your operations team. Each AI gets exactly the level of access you allow.
Can my agent trigger a climate impact like planting a tree through chat?
Yes. Use the 'create_impact' tool. By passing the impact type (e.g., 'tree') and the quantity, the agent can programmatically trigger verified climate actions natively through Greenspark's API.
Can I audit what my AI agents are doing with this integration?
Yes, Vinkius provides an immutable, HMAC-chained audit log. Every tool execution, payload, and response is tracked in real-time on your dashboard, giving you complete visibility into your agent's actions.
What if the AI ends up reading customer data or confidential information?
We have a built-in digital "bodyguard" called DLP (Data Loss Prevention). If a tool fetches data and the response contains social security numbers, credit cards, or personal customer info, Vinkius magically blocks and erases that information before it is delivered to the AI. The AI works only with what is strictly necessary, and your sensitive data never leaks.
What can AI Agents do with Greenspark?
Integrate Greenspark to provide your custom AI agents with direct read and write access to the capabilities listed below.
Secure sustainability Access for Agents
Connect the Greenspark server to enable sustainability workflows. The integration provides structured schemas for Claude to mutate productivity data.
Claude Code Integration for carbon offset
Integrate Greenspark to access native carbon offset capabilities. This allows LLMs to perform secure, deterministic execution of productivity tasks without hard-coded API scripts.
Greenspark. Runs on everything.
From IDE to framework. Every connection governed by Vinkius.
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
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