Climatiq Carbon Calculations MCP Server for LlamaIndex 10 tools — connect in under 2 minutes
LlamaIndex specializes in data-aware AI agents that connect LLMs to structured and unstructured sources. Add Climatiq Carbon Calculations as an MCP tool provider through Vinkius and your agents can query, analyze, and act on live data alongside your existing indexes.
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Vinkius supports streamable HTTP and SSE.
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 Climatiq Carbon Calculations. "
"You have 10 tools available."
),
)
response = await agent.run(
"What tools are available in Climatiq Carbon Calculations?"
)
print(response)
asyncio.run(main())
* 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 Climatiq Carbon Calculations MCP Server
Connect your AI agent to Climatiq, the leading platform for carbon calculation and emission factor data. This integration allows you to accurately estimate carbon footprints for everything from energy usage and transportation to procurement and industry classifications.
LlamaIndex agents combine Climatiq Carbon Calculations tool responses with indexed documents for comprehensive, grounded answers. Connect 10 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
- Factor Discovery — Search through a massive database of scientifically validated emission factors by sector, region, and year
- Precise Estimation — Calculate CO2e for specific activities by providing parameters like weight, volume, or energy usage
- Bulk Processing — Perform up to 100 calculations in a single request for efficient data analysis
- Industry Alignment — Estimate emissions using standard classification codes like ISIC, NACE, and NAICS
- Metadata Insights — Explore available sectors, regions, categories, and units to build structured sustainability reports
The Climatiq Carbon Calculations MCP Server exposes 10 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 Climatiq Carbon Calculations to LlamaIndex via MCP
Follow these steps to integrate the Climatiq Carbon Calculations 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 10 tools from Climatiq Carbon Calculations
Why Use LlamaIndex with the Climatiq Carbon Calculations MCP Server
LlamaIndex provides unique advantages when paired with Climatiq Carbon Calculations through the Model Context Protocol.
Data-first architecture: LlamaIndex agents combine Climatiq Carbon Calculations tool responses with indexed documents for comprehensive, grounded answers
Query pipeline framework lets you chain Climatiq Carbon Calculations tool calls with transformations, filters, and re-rankers in a typed pipeline
Multi-source reasoning: agents can query Climatiq Carbon Calculations, a vector store, and a SQL database in a single turn and synthesize results
Observability integrations show exactly what Climatiq Carbon Calculations tools were called, what data was returned, and how it influenced the final answer
Climatiq Carbon Calculations + LlamaIndex Use Cases
Practical scenarios where LlamaIndex combined with the Climatiq Carbon Calculations MCP Server delivers measurable value.
Hybrid search: combine Climatiq Carbon Calculations real-time data with embedded document indexes for answers that are both current and comprehensive
Data enrichment: query Climatiq Carbon Calculations 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 Climatiq Carbon Calculations for fresh data
Analytical workflows: chain Climatiq Carbon Calculations queries with LlamaIndex's data connectors to build multi-source analytical reports
Climatiq Carbon Calculations MCP Tools for LlamaIndex (10)
These 10 tools become available when you connect Climatiq Carbon Calculations to LlamaIndex via MCP:
batch_estimate_emissions
Provide calculations as a JSON array string. Perform up to 100 emission calculations in a single request
estimate_by_classification
Provide parameters as a JSON string. Calculate emissions using industry classification codes (ISIC, NACE, etc.)
estimate_emissions
Provide parameters as a JSON string. Calculate carbon emissions for a specific activity
list_categories
Retrieve a list of all available emission categories
list_regions
Retrieve a list of all supported regions
list_sectors
Retrieve a list of all available emission sectors
list_sources
Retrieve a list of all data sources for emission factors
list_units
) accepted by the API. Retrieve a list of all supported units of measure
list_years
Retrieve a list of all years for which emission factors are available
search_emission_factors
Search for emission factors in the Climatiq database
Example Prompts for Climatiq Carbon Calculations in LlamaIndex
Ready-to-use prompts you can give your LlamaIndex agent to start working with Climatiq Carbon Calculations immediately.
"Search for electricity emission factors in the UK for 2023."
"Estimate emissions for activity 'passenger_vehicle-vehicle_type_car-fuel_source_petrol-engine_size_na-vehicle_age_na-vehicle_standard_na' with 100 km distance."
Troubleshooting Climatiq Carbon Calculations MCP Server with LlamaIndex
Common issues when connecting Climatiq Carbon Calculations to LlamaIndex through the Vinkius, and how to resolve them.
BasicMCPClient not found
pip install llama-index-tools-mcpClimatiq Carbon Calculations + LlamaIndex FAQ
Common questions about integrating Climatiq Carbon Calculations MCP Server with LlamaIndex.
How does LlamaIndex connect to MCP servers?
Can I combine MCP tools with vector stores?
Does LlamaIndex support async MCP calls?
Connect Climatiq Carbon Calculations with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
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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.
Connect Climatiq Carbon Calculations to LlamaIndex
Get your token, paste the configuration, and start using 10 tools in under 2 minutes. No API key management needed.