How to Use the SkootEco MCP in LlamaIndex

Q: How does SkootEco help LlamaIndex track carbon emissions?

You get total emissions using getemissions, and then index those results. Your knowledge base can answer complex questions about historical trends or specific scope changes based on the indexed data.

Q: Can SkootEco help AutoGen with ESG report generation?

While LlamaIndex focuses on indexing, you use getesgreport to get the raw output. You can index this document so that your agent has a searchable record of compliance requirements.

Q: What is the scope of SkootEco's carbon tracking when using LlamaIndex?

The system supports multiple scopes, which you pull via getemissionsbyscope. Indexing this data lets your agent search for specific Scope 1 or Scope 3 requirements across all stored reports.

Q: How does SkootEco handle project data for LlamaIndex?

Use listprojects to get the list. Indexing this information allows your agent to answer questions about specific projects' eligibility or details without needing a live API call every time.

Index SkootEco compliance data into your knowledge graph with LlamaIndex.

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Connect SkootEco MCP to LlamaIndex

Create your Vinkius account to connect SkootEco to LlamaIndex — we handle the hosting, security, and runtime updates so you don't have to. No server setup required.

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Setup SkootEco with LlamaIndex

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Claude

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Gemini

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Searchable Compliance Records

The `get_esg_report` tool generates the full report, and you can index this entire output. This means you can query past compliance requirements semantically later on, linking back to the original API data.

Historical Metrics Retrieval

Want to know how emissions changed? Call `get_emissions_by_category` and index those results. Your RAG application can then answer questions like, 'What was our biggest emission category last quarter?' using the stored API data.

Persistent Offsetting Knowledge Base

Build a knowledge base around carbon mitigation. Indexing `list_offsets` and `get_offset` means your agent can answer questions like, 'Which offsets are available in this region?' by searching the indexed data.

Setup guide

Set up SkootEco MCP in LlamaIndex

Prerequisites

Python 3.10+ installed
llama-index-tools-mcp package
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install llama-index-tools-mcp llama-index-llms-openai. The MCP tools package provides BasicMCPClient and McpToolSpec.
2

Connect with BasicMCPClient
Point BasicMCPClient to your Vinkius endpoint URL. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. Supports SSE and Streamable HTTP transports.
3

Convert to LlamaIndex tools
Call mcp_tool_spec.to_tool_list_async() to convert all SkootEco MCP tools into native FunctionTool objects that any LlamaIndex agent can use.
4

Run with any LLM
Create a FunctionAgent with the tools and your preferred LLM. Swap OpenAI for Anthropic, Gemini, or any LlamaIndex-supported provider.

agent.py

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

# Connect to the MCP
mcp_client = BasicMCPClient(
    "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)
mcp_tool_spec = McpToolSpec(client=mcp_client)

# Convert MCP tools to LlamaIndex tools
tools = await mcp_tool_spec.to_tool_list_async()

# Create and run the agent
agent = FunctionAgent(
    tools=tools,
    llm=OpenAI(model="gpt-4o"),
    system_prompt="You have access to SkootEco tools.",
)
response = await agent.run("List recent SkootEco data")

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Common questions about SkootEco MCP in LlamaIndex

You get total emissions using `get_emissions`, and then index those results. Your knowledge base can answer complex questions about historical trends or specific scope changes based on the indexed data.

While LlamaIndex focuses on indexing, you use `get_esg_report` to get the raw output. You can index this document so that your agent has a searchable record of compliance requirements.

The system supports multiple scopes, which you pull via `get_emissions_by_scope`. Indexing this data lets your agent search for specific Scope 1 or Scope 3 requirements across all stored reports.

Use `list_projects` to get the list. Indexing this information allows your agent to answer questions about specific projects' eligibility or details without needing a live API call every time.

This MCP Server tracks carbon emissions, which are numerical impact metrics. This includes Scope 1, 2, and 3 activity data points that you can index for retrieval.

Use it with your favorite AI tools

Connect this server to Cursor, Claude, VS Code, and more.

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