What configuration is required to run the server?
You must set the `EREGULATIONS_API_URL` environment variable to the base URL of the eRegulations API you wish to connect to (e.g., `https://api-tanzania.tradeportal.org`).
@unctad-ai
基本情報
概要はまだありません
以下の設定を使って、このサーバーを MCP 対応クライアントに追加してください。
{
"mcpServers": {
"eregulations-mcp-server-unctad-ai": {
"command": "docker",
"args": [
"pull",
"ghcr.io/unctad-ai/eregulations-mcp-server:latest"
]
}
}
}ツール一覧はまだありません
この掲載には表示できるツール一覧がまだありません。サーバーにツールがないという意味ではありません。対応機能はプロジェクトのドキュメントをご確認ください。
ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。
A Model Context Protocol (MCP) server that provides structured, AI-friendly access to eRegulations API data. It enables AI models to answer user questions about administrative procedures by querying procedures, steps, requirements, and costs from eRegulations instances.
Run the server with Docker, setting the required environment variable EREGULATIONS_API_URL to the target eRegulations API base URL. The server listens for MCP JSON requests on standard input and sends responses to standard output. Alternatively, install via Smithery (preferred) or use the now-deprecated npx command.
You must set the `EREGULATIONS_API_URL` environment variable to the base URL of the eRegulations API you wish to connect to (e.g., `https://api-tanzania.tradeportal.org`).
The recommended method is using a published Docker image from GitHub Container Registry (GHCR). The npm-based `npx` method is deprecated due to potential environment inconsistencies.
It provides four tools: `listProcedures`, `getProcedureDetails`, `getProcedureStep`, and `searchProcedures`. Each accepts parameters like `procedureId`, `stepId`, or `keyword`.
The server includes prompt templates that guide LLMs in using the available tools correctly. Client applications that support MCP prompt templates automatically receive these instructions, improving the AI’s ability to interact with the eRegulations API.
The `searchProcedures` tool currently searches related objectives based on the underlying API and may include results beyond direct procedure names.

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