How to Use the Climatiq Carbon Calculations MCP in CrewAI

Q: Can I restrict which CrewAI agents can use Climatiq Carbon Calculations tools?

Yes. You can use the toolfilter option in CrewAI's MCP configuration to expose specific tools, like limiting batchestimateemissions to your analyst agent.

Q: How do I initialize the Climatiq Carbon Calculations MCP Server in a Python-based CrewAI project?

Import MCPServerHTTP from crewai.mcp and configure it with your Vinkius endpoint. Pass the server instance directly to your crew or individual agents.

Q: How do the agents handle mismatches in measurement units?

Your researcher agent can call listunits to verify acceptable inputs, converting any non-standard metrics before the analyst agent executes the calculation.

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Create your Vinkius account to connect Climatiq Carbon Calculations to CrewAI and route execution through our secure gateway. The platform manages server hosting, runtime updates, and security layers. Configuration requires no manual server provisioning.

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Setup Climatiq Carbon Calculations with CrewAI

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Perplexity

Multi-agent carbon research pipelines

The `search_emission_factors` tool allows your CrewAI research agent to find the exact carbon coefficients needed for complex corporate audits. The researcher agent passes these factors to the analyst agent, who then calculates the overall footprint. This division of labor keeps your operations clean. Instead of one LLM trying to do everything, one specialized agent searches the database while another executes the calculations using the MCP Server tools.

Collaborative bulk emission audits

The `batch_estimate_emissions` tool lets your CrewAI analyst agent process up to 100 activities simultaneously. The agent receives structured data from a data-gathering agent, formats it, and runs the batch calculation. This setup handles large-scale carbon accounting autonomously. A moderator agent can watch the output, comparing the results against regional limits retrieved by `list_regions` to flag high-emission facilities.

Automated compliance verification

The `estimate_by_classification` tool enables your CrewAI compliance agent to calculate emissions using standardized industry codes. The agent checks corporate records, matches them to ISIC or NACE codes, and calculates the carbon footprint. By connecting this MCP Server to your crew, you automate tedious ESG reporting. The agents coordinate to verify sources via `list_sources` and select correct units without any human input.

Setup guide

Set up Climatiq Carbon Calculations MCP in CrewAI

Prerequisites

Python 3.10+ installed
crewai package (pip install crewai)
Active Vinkius subscription with a valid endpoint token

1

Install CrewAI
Run pip install crewai to install the framework. MCP support is built-in via the mcps parameter.
2

Add the MCP URL to your agent
Pass your Vinkius endpoint directly to the mcps list. Replace [YOUR_TOKEN_HERE] with your token from cloud.vinkius.com. CrewAI handles tool discovery and caching automatically.
3

Kick off your crew
Create a Crew with your agent and tasks. Call crew.kickoff() — the agent will automatically invoke Climatiq Carbon Calculations tools as needed.

crew.py

from crewai import Agent, Task, Crew

agent = Agent(
    role="Climatiq Carbon Calculations Analyst",
    goal="Access and analyze Climatiq Carbon Calculations data via MCP.",
    backstory="Expert analyst with direct Climatiq Carbon Calculations access.",
    mcps=[
        "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
    ],
)

task = Task(
    description="List recent Climatiq Carbon Calculations transactions",
    agent=agent,
    expected_output="A summary of recent activity",
)

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

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Prerequisites

Python 3.10+ installed
crewai + crewai-tools packages
Active Vinkius subscription with a valid endpoint token

1

Install dependencies
Run pip install crewai crewai-tools. The MCPServerAdapter handles lifecycle management and tool conversion.
2

Connect with MCPServerAdapter
Use MCPServerAdapter as a context manager with SseServerParameters pointing to your Vinkius endpoint. The adapter automatically manages connection lifecycle.
3

Assign tools and run
Pass the returned mcp_tools to your agent's tools parameter. The adapter converts MCP tools to native BaseTool objects compatible with all CrewAI agents.

crew.py

from crewai import Agent, Task, Crew
from crewai_tools import MCPServerAdapter
from mcp import SseServerParameters

server_params = SseServerParameters(
    url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
)

with MCPServerAdapter(server_params) as mcp_tools:
    agent = Agent(
        role="Climatiq Carbon Calculations Analyst",
        goal="Access and analyze Climatiq Carbon Calculations data via MCP.",
        backstory="Expert analyst with direct Climatiq Carbon Calculations access.",
        tools=mcp_tools,
    )

    task = Task(
        description="List recent Climatiq Carbon Calculations transactions",
        agent=agent,
        expected_output="A summary of recent activity",
    )

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

Get your connection token →

Independent Platform Disclaimer: Vinkius is an independent platform and is not affiliated with, endorsed by, sponsored by, verified by, or otherwise authorized by Climatiq. 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 Climatiq Carbon Calculations MCP in CrewAI

You pass the Vinkius MCP URL to the crew's configuration. Individual agents in the CrewAI team can then access the `estimate_emissions` tool based on their assigned roles.

Yes. You can use the `tool_filter` option in CrewAI's MCP configuration to expose specific tools, like limiting `batch_estimate_emissions` to your analyst agent.

Import `MCPServerHTTP` from `crewai.mcp` and configure it with your Vinkius endpoint. Pass the server instance directly to your crew or individual agents.

Your researcher agent can call `list_units` to verify acceptable inputs, converting any non-standard metrics before the analyst agent executes the calculation.

Your raw operational metrics and emission logs are processed in an ephemeral V8 sandbox. Vinkius ensures zero-trust isolation, meaning no transaction data or carbon metrics are ever stored or leaked.

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