Python-oriented MCP server for accessing China National ETS market data, with tools to query CEA and CCER trading history, review market activity, and export results in the 2026 release.
View on GitHub ↗China ETS MCP Server v2026 - MCP server 2026
MCP access to China National ETS market data. This Python-oriented server provides tools for querying CEA and CCER trading history, reviewing market activity, and exporting results in the 2026 release.
China ETS MCP Server makes China National ETS market information available through an MCP-compatible interface. The server centers on the CEA and CCER markets, providing access to historical trades, current summaries, and related market statistics for connected tools and dashboards.
Analysts, researchers, and workflow developers can use it to retrieve structured carbon market data for reporting and visualization. Export capabilities and dashboard generation are included, allowing results to be examined interactively or stored for offline work.
- Retrieve historical trading records for CEA and CCER - Review current market summaries and statistical information - Save query output as CSV or XLSX files - Create interactive HTML dashboards using Plotly charts - Generate dashboards in multiple languages - Cover carbon market data for more than 1,100 trading days spanning 2021 through 2026 - Provide MCP-based access for compatible clients and connected tools - Prepare market data for analysis, reporting, and visualization tasks
First clone the repository, then install the project within your Python environment:
- git clone https://github.com/dylanadamsvpe4337/china-ets-cea-ccer-mcp.git - cd china-ets-mcp - Install the project dependencies with your preferred Python package workflow
From the project README.
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