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.

How do I check my total accumulated impact via chat?

You can use the 'get_impact_summary' tool. Your agent will fetch the total count of trees planted, kg of CO2 offset, and plastic bottles rescued, providing a real-time overview of your sustainability goals flawlessly.

Can I calculate the carbon footprint of a transaction through the agent?

Absolutely. Use the 'estimate_footprint' tool. Provide the transaction amount and merchant category, and your agent will return the estimated CO2e impact using Greenspark's estimation engines synchronously.

Greenspark MCP Server for LlamaIndex 12 tools — connect in under 2 minutes

Name: Greenspark
Availability: InStock
Author: Vinkius

docs.llamaindex.ai/en/stable/module_guides/tools/mcp

Built by Vinkius GDPR 12 Tools Framework

LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Greenspark as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.

Get MCP Server for AI Agents

ASK AI ABOUT THIS MCP SERVER

Open in ChatGPT Open in Claude Open in Perplexity

Vinkius supports streamable HTTP and SSE.

python

import asyncio
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec
from llama_index.core.agent.workflow import FunctionAgent
from llama_index.llms.openai import OpenAI

async def main():
    # Your Vinkius token. get it at cloud.vinkius.com
    mcp_client = BasicMCPClient("https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp")
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    agent = FunctionAgent(
        tools=tools,
        llm=OpenAI(model="gpt-4o"),
        system_prompt=(
            "You are an assistant with access to Greenspark. "
            "You have 12 tools available."
        ),
    )

    response = await agent.run(
        "What tools are available in Greenspark?"
    )
    print(response)

asyncio.run(main())

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About Greenspark MCP Server

Connect your Greenspark account to any AI agent and automate your business's environmental impact. Use natural language to trigger verified climate actions like planting trees or rescuing ocean plastic, and monitor your total sustainability goals in real-time.

LlamaIndex agents combine Greenspark 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.

What you can do

Impact Orchestration — Trigger new climate impacts programmatically by passing specific event data and quantities natively
Live Tracking — Retrieve detailed impact records and summary reports to analyze your total environmental contribution flawlessly
Project Discovery — List and explore the vetted environmental projects your contributions support globally
Emission Estimation — Calculate the carbon footprint of transactions based on merchant categories to automate offsetting synchronously
Asset Management — List and manage available impact badges and widgets to showcase your verified impact natively
Webhook Integration — Configure and audit API webhooks to keep your internal systems synchronized with project updates flawlessly

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

How to Connect Greenspark to LlamaIndex via MCP

Follow these steps to integrate the Greenspark MCP Server with LlamaIndex.

Install dependencies

Run pip install llama-index-tools-mcp llama-index-llms-openai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token

Run the agent

Save to agent.py and run: python agent.py

Explore tools

The agent discovers 12 tools from Greenspark

Why Use LlamaIndex with the Greenspark MCP Server

LlamaIndex provides unique advantages when paired with Greenspark through the Model Context Protocol.

Data-first architecture: LlamaIndex agents combine Greenspark tool responses with indexed documents for comprehensive, grounded answers

Query pipeline framework lets you chain Greenspark tool calls with transformations, filters, and re-rankers in a typed pipeline

Multi-source reasoning: agents can query Greenspark, a vector store, and a SQL database in a single turn and synthesize results

Observability integrations show exactly what Greenspark tools were called, what data was returned, and how it influenced the final answer

Greenspark + LlamaIndex Use Cases

Practical scenarios where LlamaIndex combined with the Greenspark MCP Server delivers measurable value.

Hybrid search: combine Greenspark real-time data with embedded document indexes for answers that are both current and comprehensive

Data enrichment: query Greenspark to augment indexed data with live information before generating user-facing responses

Knowledge base agents: build agents that maintain and update knowledge bases by periodically querying Greenspark for fresh data

Analytical workflows: chain Greenspark queries with LlamaIndex's data connectors to build multi-source analytical reports

Greenspark MCP Tools for LlamaIndex (12)

These 12 tools become available when you connect Greenspark to LlamaIndex via MCP:

create_impact

Trigger a new climate impact (e.g. plant a tree)

create_webhook

Configure a new API webhook

estimate_footprint

Calculate the carbon footprint of a transaction

get_impact

Get details for a specific impact record

get_impact_summary

Get total aggregated impact data for the account

get_project

Get details for a specific environmental project

get_subscription

Get details of the account Greenspark subscription

list_badges

List available impact badges and widgets

list_impact_types

List available types of climate impact

list_impacts

List historical climate impacts generated

list_projects

List environmental projects supported by Greenspark

list_webhooks

List configured API webhooks

Example Prompts for Greenspark in LlamaIndex

Ready-to-use prompts you can give your LlamaIndex agent to start working with Greenspark immediately.

"Show my total climate impact summary"

"Plant 10 trees for our latest customer sale"

"Estimate the carbon footprint of a $50 flight purchase"

Troubleshooting Greenspark MCP Server with LlamaIndex

Common issues when connecting Greenspark to LlamaIndex through the Vinkius, and how to resolve them.

BasicMCPClient not found

Install: pip install llama-index-tools-mcp

Greenspark + LlamaIndex FAQ

Common questions about integrating Greenspark MCP Server with LlamaIndex.

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 Greenspark tools and vector store indexes in the same turn, combining real-time and embedded data for grounded responses.