DeepMCPAgent and gopher-mcp-python
About DeepMCPAgent
cryxnet/DeepMCPAgent
Model-agnostic plug-n-play LangChain/LangGraph agents powered entirely by MCP tools over HTTP/SSE.
Dynamically discovers MCP tools from HTTP/SSE servers and bridges them into LangChain agents via JSON Schema→Pydantic conversion; supports both optional DeepAgents loop and robust LangGraph ReAct fallback. Enables cross-agent communication where agents can delegate tasks to peer agents as callable tools, alongside a CLI for interactive agent chat and tool discovery without code. Provides typed, validated tool arguments and model-agnostic design—works with OpenAI, Anthropic, Ollama, Groq, or any LangChain chat model.
About gopher-mcp-python
GopherSecurity/gopher-mcp-python
Python bindings for Cross-Language MCP Orchestrator, think of LangChain + Vercel AI kit but for MCP
Leverages ctypes FFI bindings to a native C++ library for high-performance agent orchestration, supporting both API key and MCP server configuration approaches. Provides typed result objects with detailed metadata (iteration count, token usage, status codes) and automatic resource management through context managers. Integrates with multiple LLM providers (Anthropic, etc.) while maintaining a builder-pattern configuration API for flexible agent setup.
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