agentor and agent-mcp
About agentor
CelestoAI/agentor
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
Provides a FastAPI-compatible MCP Server implementation (LiteMCP) with decorator-based tool definition and built-in authentication, plus a standardized Agent-to-Agent protocol using JSON-RPC messaging for multi-agent orchestration. Supports dynamic skill loading from Markdown files for context-aware task execution, and agents can be defined declaratively from Markdown with model/tool configuration.
About agent-mcp
grupa-ai/agent-mcp
MCPAgent for Grupa.AI Multi-agent Collaboration Network (MACNET) with Model Context Protocol (MCP) capabilities baked in
Implements a decorator-based abstraction layer that translates between diverse AI agent frameworks (Autogen, LangGraph, LangChain, CrewAI, etc.) into a unified MCP protocol, enabling seamless cross-framework collaboration. The system provides automatic provider routing and cost optimization across multiple LLM providers, alongside built-in discovery, authentication, and task coordination mechanisms. AgentMCP targets MACNet—a decentralized network for agent-to-agent collaboration—while supporting both synchronous and asynchronous operations via FastAPI's infrastructure.
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