Skynet-MCP
by ivo-toby
Skynet-MCP is a hierarchical network of AI agents using the Model Context Protocol (MCP). The AI Agents in this network can spawn new agents to have them do work, each agent also includes all the tools that the initiating agent has.
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What is Skynet-MCP?
Skynet-MCP is an advanced architecture that implements the Model Context Protocol (MCP) to create a hierarchical network of AI agents. Each instance acts as both an MCP server and MCP client, allowing it to provide tools to parent agents while also spawning and managing child agents.
How to use Skynet-MCP?
Skynet-MCP instances act as both MCP servers and clients. Configure the server with LLM and MCP server connections. Use the 'Invoke' MCP tool to create and manage agent tasks, providing MCP and LLM configurations, instructions, and specifying if execution should be delayed. Retrieve results of asynchronous tasks using the 'DelayedResponse' tool with the task ID.
Key features of Skynet-MCP
Dual-Mode Operation (Server and Client)
LLM Integration (OpenAI, Anthropic)
Tool Discovery from connected MCP servers
Hierarchical Agent Management
Configurable
FastMCP Integration
Multiple Transport Options (STDIO, SSE)
Delayed Execution
Use cases of Skynet-MCP
Decomposing complex tasks into smaller sub-tasks
Parallelizing work across multiple agents
Integrating specialized capabilities from different models and services
Research and Reporting
Code Generation
FAQ from Skynet-MCP
What is MCP?
What is MCP?
Model Context Protocol, a protocol for AI agents to communicate and share tools.
What LLMs are supported?
What LLMs are supported?
Currently supports OpenAI and Anthropic models.
What is FastMCP?
What is FastMCP?
An efficient framework for robust MCP server implementations.
How do I configure the server?
How do I configure the server?
Configuration files are stored in the config/
directory and loaded based on the NODE_ENV
environment variable. Environment variables can also be used.
How do I contribute?
How do I contribute?
Reach out to the author if you are proficient in TypeScript and would like to help.