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
Basic information
No overview available yet
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"eregulations-mcp-server-unctad-ai": {
"command": "docker",
"args": [
"pull",
"ghcr.io/unctad-ai/eregulations-mcp-server:latest"
]
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
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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