What environment variable is required?
`EREGULATIONS_API_URL` is required and must point to the base URL of the target eRegulations API (e.g., `https://api-tanzania.tradeportal.org`).
@MCP-Mirror
基本信息
Mirror of
使用下面的配置,将此服务器添加到你的 MCP 客户端。
{
"mcpServers": {
"unctad-ai_eregulations-mcp-server": {
"command": "docker",
"args": [
"pull",
"ghcr.io/unctad-ai/eregulations-mcp-server:latest"
]
}
}
}工具列表暂未提供
当前收录暂时没有可展示的工具列表,不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
eRegulations MCP Server is a Model Context Protocol (MCP) server that provides structured, AI‑friendly access to eRegulations API data, enabling AI models to answer user questions about administrative procedures.
Run via Docker (recommended): set the environment variable EREGULATIONS_API_URL to your eRegulations API base URL, then run the published Docker image from GHCR with docker run -i --rm -e EREGULATIONS_API_URL ghcr.io/unctad-ai/eregulations-mcp-server. The server listens for MCP JSON requests on stdin and sends responses to stdout. Installation via Smithery is also available; running directly with npx is deprecated.
listProcedures, getProcedureDetails, getProcedureStep, searchProcedures.`EREGULATIONS_API_URL` is required and must point to the base URL of the target eRegulations API (e.g., `https://api-tanzania.tradeportal.org`).
The recommended method is via Docker: set the environment variable and run `docker run -i --rm -e EREGULATIONS_API_URL ghcr.io/unctad-ai/eregulations-mcp-server:latest`. A client configuration example for using Docker is provided in the README.
The server exposes four tools: `listProcedures` (list all procedures), `getProcedureDetails` (get details by `procedureId`), `getProcedureStep` (get a step by `procedureId` and `stepId`), and `searchProcedures` (search by keyword; note: this searches related objectives and may include results beyond direct procedure names).
Running via `npx` is deprecated due to potential environment inconsistencies. The recommended approach is Docker (or installation via Smithery).
The server provides MCP prompt templates that guide LLMs in using the available tools correctly. Clients that support the prompt templates capability automatically receive them to improve API interaction.
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