eRegulations MCP Server

by unctad-ai
Verified

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.

Integrations

  • Enables deployment of the MCP server using Docker Compose for containerized setup and management.

  • Supports version control for cloning and managing the eRegulations MCP server codebase.

  • Provides integration for cloning the eRegulations MCP server repository from GitHub.

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

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

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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.

  1. Features
    1. Usage
      1. Running with Docker (Recommended)
      2. Example Client Configuration
      3. Installation via Smithery
      4. Installation via npm Registry (Deprecated)
    2. Deprecated: Set environment variables and run with npx
      ID: 2mwanrclpl