Where do I get a Climatiq API Key?

You can sign up for a developer account at the [**Climatiq Dashboard**](https://www.climatiq.io/dashboard) to generate your API Bearer Token. They offer a free tier for testing and small-scale usage.

Which carbon equivalents are calculated?

The API primarily returns CO2e (Carbon Dioxide Equivalent), which includes the combined global warming potential of various greenhouse gases, expressed in a single metric (usually kg or tonnes).

Climatiq Carbon Calculations MCP Server for CrewAI 10 tools — connect in under 2 minutes

Name: Climatiq Carbon Calculations
Availability: InStock
Author: Vinkius

docs.crewai.com/mcp/overview

Built by Vinkius GDPR 10 Tools Framework

Connect your CrewAI agents to Climatiq Carbon Calculations through Vinkius, pass the Edge URL in the `mcps` parameter and every Climatiq Carbon Calculations tool is auto-discovered at runtime. No credentials to manage, no infrastructure to maintain.

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Vinkius supports streamable HTTP and SSE.

python

from crewai import Agent, Task, Crew

agent = Agent(
    role="Climatiq Carbon Calculations Specialist",
    goal="Help users interact with Climatiq Carbon Calculations effectively",
    backstory=(
        "You are an expert at leveraging Climatiq Carbon Calculations tools "
        "for automation and data analysis."
    ),
    # Your Vinkius token. get it at cloud.vinkius.com
    mcps=["https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"],
)

task = Task(
    description=(
        "Explore all available tools in Climatiq Carbon Calculations "
        "and summarize their capabilities."
    ),
    agent=agent,
    expected_output=(
        "A detailed summary of 10 available tools "
        "and what they can do."
    ),
)

crew = Crew(agents=[agent], tasks=[task])
result = crew.kickoff()
print(result)

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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.

When paired with CrewAI, Climatiq Carbon Calculations becomes a first-class tool in your multi-agent workflows. Each agent in the crew can call Climatiq Carbon Calculations tools autonomously, one agent queries data, another analyzes results, a third compiles reports, all orchestrated through Vinkius with zero configuration overhead.

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 CrewAI 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 CrewAI via MCP

Follow these steps to integrate the Climatiq Carbon Calculations MCP Server with CrewAI.

Install CrewAI

Run pip install crewai

Replace the token

Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com

Customize the agent

Adjust the role, goal, and backstory to fit your use case

Run the crew

Run python crew.py. CrewAI auto-discovers 10 tools from Climatiq Carbon Calculations

Why Use CrewAI with the Climatiq Carbon Calculations MCP Server

CrewAI Multi-Agent Orchestration Framework provides unique advantages when paired with Climatiq Carbon Calculations through the Model Context Protocol.

Multi-agent collaboration lets you decompose complex workflows into specialized roles, one agent researches, another analyzes, a third generates reports, each with access to MCP tools

CrewAI's native MCP integration requires zero adapter code: pass Vinkius Edge URL directly in the `mcps` parameter and agents auto-discover every available tool at runtime

Built-in task delegation and shared memory mean agents can pass context between steps without manual state management, enabling multi-hop reasoning across tool calls

Sequential and hierarchical crew patterns map naturally to real-world workflows: enumerate subdomains → analyze DNS history → check WHOIS records → compile findings into actionable reports

Climatiq Carbon Calculations + CrewAI Use Cases

Practical scenarios where CrewAI combined with the Climatiq Carbon Calculations MCP Server delivers measurable value.

Automated multi-step research: a reconnaissance agent queries Climatiq Carbon Calculations for raw data, then a second analyst agent cross-references findings and flags anomalies. all without human handoff

Scheduled intelligence reports: set up a crew that periodically queries Climatiq Carbon Calculations, analyzes trends over time, and generates executive briefings in markdown or PDF format

Multi-source enrichment pipelines: chain Climatiq Carbon Calculations tools with other MCP servers in the same crew, letting agents correlate data across multiple providers in a single workflow

Compliance and audit automation: a compliance agent queries Climatiq Carbon Calculations against predefined policy rules, generates deviation reports, and routes findings to the appropriate team

Climatiq Carbon Calculations MCP Tools for CrewAI (10)

These 10 tools become available when you connect Climatiq Carbon Calculations to CrewAI 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 CrewAI

Ready-to-use prompts you can give your CrewAI 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 CrewAI

Common issues when connecting Climatiq Carbon Calculations to CrewAI through the Vinkius, and how to resolve them.

MCP tools not discovered

Ensure the Edge URL is correct. CrewAI connects lazily when the crew starts. check console output.

Agent not using tools

Make the task description specific. Instead of "do something", say "Use the available tools to list contacts".

Timeout errors

CrewAI has a 10s connection timeout by default. Ensure your network can reach the Edge URL.

Rate limiting or 429 errors

Vinkius enforces per-token rate limits. Check your subscription tier and request quota in the dashboard. Upgrade if you need higher throughput.

Climatiq Carbon Calculations + CrewAI FAQ

Common questions about integrating Climatiq Carbon Calculations MCP Server with CrewAI.

How does CrewAI discover and connect to MCP tools?

CrewAI connects to MCP servers lazily. when the crew starts, each agent resolves its MCP URLs and fetches the tool catalog via the standard tools/list method. This means tools are always fresh and reflect the server's current capabilities. No tool schemas need to be hardcoded.

Can different agents in the same crew use different MCP servers?

Yes. Each agent has its own mcps list, so you can assign specific servers to specific roles. For example, a reconnaissance agent might use a domain intelligence server while an analysis agent uses a vulnerability database server.

What happens when an MCP tool call fails during a crew run?

CrewAI wraps tool failures as context for the agent. The LLM receives the error message and can decide to retry with different parameters, fall back to a different tool, or mark the task as partially complete. This resilience is critical for production workflows.

Can CrewAI agents call multiple MCP tools in parallel?

CrewAI agents execute tool calls sequentially within a single reasoning step. However, you can run multiple agents in parallel using process=Process.parallel, each calling different MCP tools concurrently. This is ideal for workflows where separate data sources need to be queried simultaneously.

Can I run CrewAI crews on a schedule (cron)?

Yes. CrewAI crews are standard Python scripts, so you can invoke them via cron, Airflow, Celery, or any task scheduler. The crew.kickoff() method runs synchronously by default, making it straightforward to integrate into existing pipelines.