eRegulations MCP Server

A Model Context Protocol (MCP) server implementation for accessing eRegulations API data. This server provides structured, AI-friendly access to eRegulations instances, making it easier for AI models to answer user questions about administrative procedures.

Features

Access eRegulations data through a standardized protocol
Query procedures, steps, requirements, and costs
MCP prompt templates to guide LLM tool usage
Streamlined implementation using standard I/O connections

Usage

Running with Docker (Recommended)

The recommended way to run the server is using the published Docker image from the GitHub Container Registry (GHCR). This ensures a consistent and isolated environment.

# Pull the latest image (optional)
docker pull ghcr.io/unctad-ai/eregulations-mcp-server:latest

# Run the server, providing the target eRegulations API URL
export EREGULATIONS_API_URL="https://your-eregulations-api.com"
docker run -i --rm -e EREGULATIONS_API_URL ghcr.io/unctad-ai/eregulations-mcp-server

Replace https://your-eregulations-api.com with the actual base URL of the eRegulations instance you want to connect to (e.g., https://api-tanzania.tradeportal.org).

The server listens for MCP JSON requests on standard input and sends responses to standard output.

Example Client Configuration

Here's an example of how a client (like Claude) might be configured to use this server via Docker:

{
  "mcpServers": {
    "eregulations": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "EREGULATIONS_API_URL",
        "ghcr.io/unctad-ai/eregulations-mcp-server:latest"
      ],
      "env": {
        "EREGULATIONS_API_URL": "https://your-eregulations-api.com"
      }
    }
  }
}

(Remember to replace the EREGULATIONS_API_URL value in the env section as well.)

Installation via Smithery

Alternatively, you can install and run the server using Smithery:

Visit https://smithery.ai/server/@unctad-ai/eregulations-mcp-server for the installation command.

Installation via npm Registry (Deprecated)

~~Running the server directly using npx is deprecated due to potential environment inconsistencies.~~

~~```bash

Deprecated: Set environment variables and run with npx

export EREGULATIONS_API_URL=https://example.com/api && export NODE_ENV=production && npx -y @unctad-ai/eregulations-mcp-server@latest

## Configuration

The server requires the URL of the target eRegulations API.

### Environment Variables

- `EREGULATIONS_API_URL`: **(Required)** URL of the eRegulations API to connect to (e.g., `https://api-tanzania.tradeportal.org`). Passed to the Docker container using the `-e` flag.

## Available Tools

The MCP server provides the following tools:

### `listProcedures`

Lists all available procedures in the eRegulations system.

### `getProcedureDetails`

Gets detailed information about a specific procedure by its ID.

Parameters:

- `procedureId`: ID of the procedure to retrieve

### `getProcedureStep`

Gets information about a specific step within a procedure.

Parameters:

- `procedureId`: ID of the procedure
- `stepId`: ID of the step within the procedure

### `searchProcedures`

Searches for procedures by keyword or phrase. Note: This currently searches related objectives based on the underlying API and may include results beyond direct procedure names.

Parameters:

- `keyword`: The keyword or phrase to search for

## Prompt Templates

The server provides prompt templates to guide LLMs in using the available tools correctly. These templates explain the proper format and parameters for each tool. LLM clients that support the MCP prompt templates capability will automatically receive these templates to improve their ability to work with the API.

## Development

```bash
# Run in development mode
npm run start

# Run tests
npm test

# Run tests with watch mode
npm run test:watch

# Run test client
npm run test-client
```

You must be authenticated.

security – no known vulnerabilities

license - not found

quality - confirmed to work

remote-capable server

The server can be hosted and run remotely because it primarily relies on remote services or has no dependency on the local environment.

A Model Context Protocol server implementation that provides structured, AI-friendly access to eRegulations data, making it easier for AI models to answer user questions about administrative procedures.

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