What is Dynamic Mcp Agent Networks

dynamic-mcp-agent-networks is a cross-platform agent developed in Rust that automatically discovers and catalogs APIs, endpoints, and network services within an organization, generating MCP connectors for seamless integration with AI and LLM systems.

Use cases

Use cases include integrating legacy APIs with modern AI systems, automating API documentation extraction, facilitating backend development processes, and enhancing the capabilities of AI integration teams.

How to use

To use dynamic-mcp-agent-networks, download the pre-built binaries for your platform or install it using Cargo. Run a basic API discovery scan with the command ‘dmcp-agent scan --network <network_address>’ to identify APIs, and then generate MCP connector configurations.

Key features

Key features include automatic API discovery, cross-platform support, intelligent API classification, API documentation extraction, lightweight and efficient performance, easy MCP integration, and an extensible plugin system for custom API detectors and connectors.

Where to use

dynamic-mcp-agent-networks can be used in various fields such as software development, AI integration, backend services, and any organization that needs to connect existing APIs and services to language models and AI systems.

Dynamic MCP Agent Networks

A powerful cross-platform agent built in Rust that automatically discovers and catalogs your organization’s APIs and network services. This tool intelligently scans your infrastructure to identify APIs, endpoints, and services, then generates MCP (Model Context Protocol) connectors for seamless integration with your AI and LLM systems using the Model Context Protocol.

Key Features

• Automatic API Discovery: Scans networks to identify internal and external APIs, endpoints, and services in your organization
• Cross-Platform Support: Runs on Windows, macOS, Linux, and other UNIX-like systems
• Intelligent API Classification: Leverages heuristics and signature matching to determine API types, authentication methods, and appropriate connector configurations
• API Documentation Extraction: Automatically discovers and parses OpenAPI/Swagger specs, GraphQL schemas, and other API documentation
• Lightweight and Efficient: Built in Rust for maximum performance with minimal resource usage
• Easy MCP Integration: Generates standardized Model Context Protocol connector files enabling your LLMs and AI systems to interact with your APIs
• Extensible Plugin System: Create custom API detectors and connectors for proprietary systems

Perfect for AI integration teams, backend developers, and organizations looking to connect their existing APIs and services to language models and AI systems through the Model Context Protocol.

Installation

Pre-built Binaries

Download the latest release for your platform from the Releases page.

Using Cargo

cargo install dynamic-mcp-agent-networks

Quick Start

1. Run a basic API discovery scan:

   dmcp-agent scan --network 192.168.1.0/24
   

2. Generate MCP connector configurations:

   dmcp-agent generate --output ./mcp-connectors
   

3. Connect to your MCP server:

   dmcp-agent connect --server your-mcp-server.example.com --api-key YOUR_API_KEY
   

Building from Source

Prerequisites

• Rust toolchain (1.70.0 or newer)
• libpcap development files (for packet capture capabilities)
• OpenSSL development files (for secure connections)

Build Steps

1. Clone the repository:

   git clone https://github.com/yourusername/dynamic-mcp-agent-networks.git
   cd dynamic-mcp-agent-networks
   

2. Build the project:

   cargo build --release
   

3. Run tests:

   cargo test
   

4. The compiled binary will be available at target/release/dmcp-agent

MCP Integration

The Dynamic MCP Agent Networks tool creates standardized connector files that follow the Model Context Protocol specification, enabling:

• AI systems to discover and interact with your internal APIs
• LLMs to access appropriate company data and services
• Automated documentation and context generation for your APIs
• Secure, managed access to internal tools through the MCP server-client architecture

Contributing

We welcome contributions from the community! Here’s how you can help:

Getting Started

1. Fork the repository
2. Create a feature branch (git checkout -b feature/amazing-feature)
3. Implement your changes
4. Write or update tests as needed
5. Update documentation
6. Submit a pull request

Development Environment Setup

We recommend using VS Code with the rust-analyzer extension or any Rust-compatible IDE.

For local development, you can use our development container or set up your environment with:

# Install additional development dependencies
cargo install cargo-watch cargo-expand cargo-audit

Project Structure

src/
├── main.rs              # Application entry point
├── config/              # Configuration management
├── discovery/           # API discovery mechanisms
│   ├── port_scan.rs     # TCP/UDP port scanning
│   ├── mdns.rs          # mDNS discovery
│   ├── upnp.rs          # UPnP discovery
│   └── ...
├── connectors/          # MCP connector generation
├── api_analyzers/       # API type detection and schema extraction
├── utils/               # Utility functions
└── cli/                 # Command-line interface

Coding Standards

• Follow the Rust API guidelines
• All public APIs must be documented
• Write tests for new functionality
• Use Rust idioms like Result for error handling

License

This project is licensed under the MIT License - see the LICENSE file for details.

Acknowledgments

• The Rust community for exceptional libraries and tools
• Contributors to the Model Context Protocol specification