fast-agent and agent-mcp
About fast-agent
evalstate/fast-agent
Code, Build and Evaluate agents - excellent Model and Skills/MCP/ACP Support
Supports multiple LLM providers (Anthropic, OpenAI, Google, Azure, Ollama, Deepseek) with native MCP server integration via stdio and HTTP transports, plus structured outputs, vision, and PDF capabilities. CLI-first architecture with prompt_toolkit TUI, live streaming responses, and diagnostic tools for inspecting MCP transport behavior. Enables declarative agent composition through simple Python decorators and YAML configs, with built-in skills registry, shell mode, and ACP client compatibility for embedding agents into other applications.
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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