Ember Climate MCP Server for Cline 11 tools — connect in under 2 minutes
Cline is an autonomous AI coding agent inside VS Code that plans, executes, and iterates on tasks. Wire Ember Climate through Vinkius and Cline gains direct access to every tool. from data retrieval to workflow automation. without leaving the terminal.
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{
"mcpServers": {
"ember-climate": {
"url": "https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
}
}
}
* 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 Ember Climate MCP Server
Connect your AI agents to Ember Climate's open electricity dataset and gain instant access to global energy intelligence covering over 200 countries and regions.
Cline operates autonomously inside VS Code. it reads your codebase, plans a strategy, and executes multi-step tasks including Ember Climate tool calls without waiting for prompts between steps. Connect 11 tools through Vinkius and Cline can fetch data, generate code, and commit changes in a single autonomous run.
What you can do
- Carbon Intensity Analysis — Track yearly and monthly carbon footprint (gCO2/kWh) of electricity grids worldwide
- Generation by Source — Break down electricity production by energy type: coal, gas, nuclear, wind, solar, hydro, and more
- Demand Trends — Analyze electricity consumption patterns in TWh with per-capita metrics across nations
- Power Sector Emissions — Monitor CO2 emissions from the power sector in megatonnes and percentage shares
- Renewable Capacity Tracking — Follow monthly wind and solar capacity installations in GW to measure clean energy deployment
- Multi-Country Comparison — Query multiple nations simultaneously using comma-separated country codes for comparative analysis
- Filter Discovery — Explore available entities, energy sources, and date ranges dynamically before making targeted queries
The Ember Climate MCP Server exposes 11 tools through the Vinkius. Connect it to Cline 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 Ember Climate to Cline via MCP
Follow these steps to integrate the Ember Climate MCP Server with Cline.
Open Cline MCP Settings
Click the MCP Servers icon in the Cline sidebar panel
Add remote server
Click "Add MCP Server" and paste the configuration above
Enable the server
Toggle the server switch to ON
Start using Ember Climate
Ask Cline: "Using Ember Climate, help me...". 11 tools available
Why Use Cline with the Ember Climate MCP Server
Cline provides unique advantages when paired with Ember Climate through the Model Context Protocol.
Cline operates autonomously. it reads your codebase, plans a strategy, and executes multi-step tasks including MCP tool calls without step-by-step prompts
Runs inside VS Code, so you get MCP tool access alongside your existing extensions, terminal, and version control in a single window
Cline can create, edit, and delete files based on MCP tool responses, enabling end-to-end automation from data retrieval to code generation
Transparent execution: every tool call and file change is shown in Cline's activity log for full visibility and approval before committing
Ember Climate + Cline Use Cases
Practical scenarios where Cline combined with the Ember Climate MCP Server delivers measurable value.
Autonomous feature building: tell Cline to fetch data from Ember Climate and scaffold a complete module with types, handlers, and tests
Codebase refactoring: use Ember Climate tools to validate live data while Cline restructures your code to match updated schemas
Automated testing: Cline fetches real responses from Ember Climate and generates snapshot tests or mocks based on actual payloads
Incident response: query Ember Climate for real-time status and let Cline generate hotfix patches based on the findings
Ember Climate MCP Tools for Cline (11)
These 11 tools become available when you connect Ember Climate to Cline via MCP:
get_api_options
Use dataset (e.g., "electricity-generation"), temporal_resolution (e.g., "monthly", "yearly"), and filter_name (e.g., "entity", "series", "entity_code", "date", "year"). This tool is useful for discovering valid country codes, energy source types, and available date ranges before making specific data queries. Get available filter options for Ember electricity datasets
get_carbon_intensity_monthly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). This helps analyze seasonal patterns in grid carbon footprint and track monthly decarbonization progress. Get monthly carbon intensity of electricity generation for countries/regions
get_carbon_intensity_yearly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Returns emissions intensity data showing how clean or polluting the electricity grid is over time. Get yearly carbon intensity of electricity generation for countries/regions
get_electricity_demand_monthly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Useful for analyzing seasonal demand patterns, peak consumption periods, and demand forecasting. Get monthly electricity demand data for countries/regions
get_electricity_demand_yearly
Use entity or entity_code to specify countries (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Essential for understanding energy consumption trends and comparing per-capita usage across nations. Get yearly electricity demand data for countries/regions
get_electricity_generation_monthly
). Returns generation in TWh and percentage share of total generation for each source. Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series to filter by specific energy sources (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). Perfect for analyzing seasonal generation patterns, renewable intermittency, and monthly energy mix changes. Get monthly electricity generation by source for countries/regions
get_electricity_generation_yearly
). Returns generation in TWh and percentage share of total generation for each source. Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Use series to filter by specific energy sources (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). Essential for analyzing energy transition, renewable adoption, and fossil fuel phase-out progress. Get yearly electricity generation by source for countries/regions
get_generation_multi_entity
g., "BRA,DE,US" for Brazil, Germany, and United States). Use start_date and end_date with format YYYY for yearly or YYYY-MM for monthly data. Use series to filter by energy source (e.g., "coal", "wind", "solar", "hydro", "nuclear", "gas"). This is highly efficient for comparative analysis across multiple nations without making separate API calls. Example: entity_code="BRA,DE,US,CHN,IND" to compare BRICS+ nations energy generation. Get electricity generation data for multiple countries simultaneously
get_installed_capacity_monthly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series to filter by capacity type (e.g., "wind", "solar"). Tracks renewable infrastructure deployment and capacity growth over time across different nations. Get monthly installed power capacity (wind and solar) for countries
get_power_sector_emissions_monthly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY-MM (e.g., "2023-01", "2024-12"). Use series parameter to filter by emission types (e.g., "co2"). Enables granular tracking of monthly emission trends and seasonal variations in power sector pollution. Get monthly power sector CO2 emissions for countries/regions
get_power_sector_emissions_yearly
Use entity or entity_code to filter by country (e.g., "Brazil", "DE", "US"). Use start_date and end_date with format YYYY (e.g., "2020", "2023"). Use series parameter to filter by emission types (e.g., "co2"). Critical for tracking national decarbonization progress and climate policy effectiveness. Get yearly power sector CO2 emissions for countries/regions
Example Prompts for Ember Climate in Cline
Ready-to-use prompts you can give your Cline agent to start working with Ember Climate immediately.
"What is the carbon intensity of Brazil's electricity grid in recent years?"
"Compare wind and solar generation between Germany, China, and the US for the last 3 years."
"Show me the monthly electricity demand in France during 2024."
Troubleshooting Ember Climate MCP Server with Cline
Common issues when connecting Ember Climate to Cline through the Vinkius, and how to resolve them.
Server shows error in sidebar
Ember Climate + Cline FAQ
Common questions about integrating Ember Climate MCP Server with Cline.
How does Cline connect to MCP servers?
Can Cline run MCP tools without approval?
Does Cline support multiple MCP servers at once?
Connect Ember Climate with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
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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 Ember Climate to Cline
Get your token, paste the configuration, and start using 11 tools in under 2 minutes. No API key management needed.