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eRegulations MCP Server

eRegulations MCP Server

by unctad-ai

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

Related MCP server: MCP Boilerplate

Usage

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
```

Available Tools

4 tools
getProcedureDetailsD

Inputs: procedureId (required).

getProcedureStepD

Inputs: procedureId (required), stepId (required).

listProceduresD

Inputs: no named parameters.

searchProceduresD

Inputs: keyword (required).

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    D1.8/5.0

    Scored across 4 tools

    Disambiguation3/5

    The tools have overlapping purposes focused on procedures, but their names suggest distinct functions: getProcedureDetails likely retrieves comprehensive information, getProcedureStep targets specific steps, listProcedures enumerates procedures, and searchProcedures finds them based on criteria. Without descriptions, some ambiguity remains about the exact boundaries between getProcedureDetails and getProcedureStep, but the naming provides reasonable differentiation.

    Naming Consistency5/5

    All tool names follow a consistent verb_noun pattern with camelCase styling: getProcedureDetails, getProcedureStep, listProcedures, and searchProcedures. The verbs (get, list, search) are clear and appropriate, and the noun 'Procedures' is consistently used, making the naming highly predictable and readable.

    Tool Count4/5

    With 4 tools, the count is reasonable for a server focused on regulations or procedures, as it covers key operations like listing, searching, and retrieving details. It might be slightly thin if more complex actions (e.g., create, update, delete) are needed for the domain, but for a read-only or query-focused interface, it is well-scoped and manageable.

    Completeness3/5

    The tool set provides good read/search coverage for procedures, including listing, searching, and getting details/steps, which suggests a query-oriented domain. However, there are notable gaps: no create, update, or delete tools imply a read-only surface, which might be intentional but limits agent workflows if modifications are needed. Without descriptions, it's unclear if this is by design or an omission.

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