eRegulations
About
Transforms complex eRegulations API data into accessible formats for answering user questions about government administrative procedures without context switching.
Explore
- 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
Setting up with Highlight
This MCP is not yet compatible with Highlight’s one-click setup. However, you can still use it with Highlight by following these steps:
- Download and install Highlight from highlightai.com/download
- Navigate to the plugins tab and select "Add Custom Plugin"
-
Configure the plugin with the settings below
Plugin Name
eRegulationsCommand (node, npx, python, etc.)npxArguments-
Argument 1
-y -
Argument 2
@highlight/mcp-server
Please refer to the README for specific instructions on how to obtain API keys or other required environment variables.
-
Argument 1
- Enable "Start Automatically" if you want the plugin to start when Highlight launches
From the repository
The server requires the URL of the target eRegulations API.
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.
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.)
Alternatively, you can install and run the server using Smithery:
Visit https://smithery.ai/server/@unctad-ai/eregulations-mcp-server for the installation command.
~~Running the server directly using npx is deprecated due to potential environment inconsistencies.~~
~~
export EREGULATIONS_API_URL=https://example.com/api && export NODE_ENV=production && npx -y @unctad-ai/eregulations-mcp-server@latest
```~~
- 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.
The MCP server provides the following tools:
Claude Desktop / Cursor
Paste into your MCP client config file to install this server.
{
"mcpServers": {
"eregulations": {
"env": {},
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}
}
}Linux
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Macos
{
"env": [],
"args": [
"-y",
"@highlight/mcp-server"
],
"command": "npx"
}Windows
{
"env": [],
"args": [
"/c",
"npx",
"-y",
"@highlight/mcp-server"
],
"command": "cmd"
}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.
<a href="https://glama.ai/mcp/servers/@unctad-ai/eregulations-mcp-server">
</a>
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.
```bash
Sign in to leave a review
Use Google, GitHub, or an email account so ratings stay tied to real people.
No reviews posted yet.
