How to Use the Green Web Check MCP in LlamaIndex
Index Green Web Check environmental data directly into your LlamaIndex vector stores for carbon-aware RAG search.
Works with every AI agent you already use
…and any MCP-compatible client
Connect Green Web Check MCP to LlamaIndex
Create your Vinkius account to connect Green Web Check to LlamaIndex and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.
Index hosting sustainability data with LlamaIndex
Stop letting your RAG pipeline hallucinate green claims. By integrating `check_green_hosting` with LlamaIndex, this MCP Server pulls real-time energy data for domains and indexes the results directly into your vector database. When users query your knowledge base about vendor sustainability, LlamaIndex pulls from these cached, verified records. Your agent relies on actual API outputs instead of stale training data.
Build a carbon-aware knowledge base
This tool lets you build a searchable index of green-certified digital partners. By wrapping `check_green_hosting` in an `McpToolSpec`, your LlamaIndex agents can query website energy sources and save those facts for future semantic search. The integration is simple. Use the `BasicMCPClient` to connect to Vinkius, convert the server tools to LlamaIndex tools, and feed the green status output straight into your document store.
Ground your RAG queries in verified energy data
Your LlamaIndex agents can now verify green claims on the fly. When a user asks if a specific service is eco-friendly, the agent calls `check_green_hosting` to fetch live data, ensuring your system's answers are grounded in reality. This prevents greenwashing in your enterprise search engines. The tool provides the raw proof, and LlamaIndex structures it into clean, queryable nodes for your LLM to reference.
Set up Green Web Check MCP in LlamaIndex
Prerequisites
- Python 3.10+ installed
-
llama-index-tools-mcppackage - 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 providesBasicMCPClientandMcpToolSpec. - 2
Connect with BasicMCPClient
Point
BasicMCPClientto 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 Green Web Check MCP tools into nativeFunctionToolobjects that any LlamaIndex agent can use. - 4
Run with any LLM
Create a
FunctionAgentwith the tools and your preferred LLM. SwapOpenAIforAnthropic,Gemini, or any LlamaIndex-supported provider.
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 Green Web Check tools.",
)
response = await agent.run("List recent Green Web Check data") Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Green Web Foundation. All third-party trademarks, logos, and brand names are the property of their respective owners. Their use on this website is strictly for informational purposes to identify service compatibility and interoperability.
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Common questions about Green Web Check MCP in LlamaIndex
Use it with your favorite AI tools
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