DARP Engine

DARPEngine is a search engine that provides metadata storage and intelligent search functions for MCP servers, supporting CLI, API access, and MCP tool integration.

Search tools Developer tools #MCP search #Intelligent routing #Metadata storage #CLI tool .Python

rating : 2.5 points

downloads : 6.3K

update time : 2025-04-28

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What is DARPEngine?

DARPEngine is an intelligent search engine designed specifically for MCP servers. It can store the metadata of online MCP servers and provide intelligent search functions. Through a simple interface, users can quickly find MCP servers that meet their needs.

How to use DARPEngine?

You can use DARPEngine in three ways: 1) Through the CLI command-line tool. 2) Through the API interface. 3) By directly connecting via the MCP client. The system will automatically route your request to the most suitable MCP server.

Use cases

When you need to find an MCP server with specific functions, such as code analysis, data processing, or AI model interaction, DARPEngine can quickly help you find the appropriate service.

Main features

Command-line interface (CLI)

Provides a simple and easy-to-use command-line tool for developers to quickly integrate into their workflows

API access

Provides search functions through a RESTful API, supporting programmatic access

Intelligent routing

Automatically routes user requests to the most suitable MCP server

Upcoming features

Including support for.well-known/mcp.json, crawlers, front-end interfaces, and SSL certificate verification, etc.

Advantages

One-stop search for multiple MCP servers

Intelligent routing improves query efficiency

Simple and easy-to-use interface

Flexible deployment options

Limitations

The current functions are still being continuously improved

MCP server information needs to be added manually

Depends on the availability of external MCP servers

How to use

Install DARPEngine

Quickly deploy the DARPEngine service using Docker

Add an MCP server

Add the MCP servers you know to the search engine

Search for MCP servers

Use the search function to find MCP servers that meet your needs

Use intelligent routing

Let the system automatically select the most suitable MCP server to handle your request

Usage examples

Code quality analysis

Analyze the code quality, structure, and dependency relationships of a GitHub repository

AI model query

Find available AI model services

Frequently Asked Questions

What is DARPEngine?

How to add a new MCP server?

Which clients does DARPEngine support?

How is the quality of search results guaranteed?

Related resources

GitHub repository

Project source code and issue tracking

Discussion area

Get help and support

X (Twitter)

Follow the latest developments

Contribution guide

How to contribute to the project

🚀 DARPEngine

DARPEngine is a search engine for the MCP (Message Communication Protocol). It is designed to store and manage metadata of MCP servers and offer intelligent search capabilities. This engine aims to assist users in efficiently connecting and managing multiple MCP servers to achieve more powerful communication and service capabilities.

🚀 Quick Start

Connect to the MCP Client

python3 your_script.py --connect http://mcp_server_url:port

Add a Server via CLI

python scripts/darp-add.py --url http://memelabs.ai:3006/sse --name code_analysis --description "分析 GitLab 仓库的质量、主题和包使用情况"

Search for MCP Services

curl -X POST "http://localhost:8080/api/search" -H "Content-Type: application/json" -d '{"query":"自然语言处理"}'

Example Results

Here is the result of a search example:

[... 长篇中文搜索结果 ...]

✨ Features

Simple CLI: Easily add, remove, and manage MCP servers through the command-line interface.
Intelligent Search Function: Supports metadata-based intelligent search to help users quickly find the desired MCP services.
Scalability: Supports various types of MCP servers and can be extended as needed.

📦 Installation

Environment Requirements

Python 3.8 or higher
Docker and Docker Compose (for running containerized services)

Installation Steps

Set Environment Variables

export DARP_API_KEY="your_api_key_here"

Create a Docker Network
```
docker network create darp_network
```

Build the Docker Image

cd ./darp_engine && docker build -t darp-engine .

Run the Service

docker-compose -f docker-compose.yaml up --build

📚 Documentation

Upcoming Features

Support for More Protocols: Future versions will support more communication protocols and protocol combinations.
Automated Management: Implement automatic discovery and connection functions for MCP servers.
Advanced Search Options: Provide more complex search filters and conditions to enhance the user experience.