v0.5.0

[cryxnet]

🚀 Deep MCP Agent v0.5.0 — Cross-Agent Communication Arrives

Release Date: 2025-10-18

Deep MCP Agent 0.5 introduces Cross-Agent Communication, enabling one agent to call another as a tool — no extra servers, no orchestration layers, just pure MCP over HTTP/SSE.

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✨ Highlights

• Cross-Agent Communication:
  Agents can now collaborate through new tools:

  • ask_agent_<name> – send a message to a specific peer and get its final answer.
  • broadcast_to_agents – query multiple peers in parallel and collect their replies.

• Plug-and-Play Peers:
  Attach any runnable agent (LangChain ReAct, LangGraph, or DeepAgents loop) with:

  cross_agents={"researcher": CrossAgent(agent=peer, description="Web research peer")}

• No Extra Infra: Runs entirely in-process; uses the same MCP tool ecosystem over HTTP/SSE.

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🐛 Fixes & Improvements

• Clearer trace output for cross-agent tool calls.
• Better error messages for unknown peers in broadcasts.
• Sync _run path added to all tools to satisfy BaseTool requirements.
• Migrated to Pydantic v2 (ConfigDict) for clean, warning-free configuration.

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📘 Docs & Examples

• New guide: Cross-Agent Communication — how to connect multiple agents seamlessly.
• Example: examples/use_cross_agent.py

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⚙️ Compatibility

• Works with DeepAgents (preferred) or falls back to LangGraph ReAct prebuilt.
• Compatible with anyio >= 3.0 and Pydantic v2.
• Fully backward-compatible — if cross_agents is omitted, nothing changes.

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GitHub: https://github.com/cryxnet/deepmcpagent
PyPI: pip install deepmcpagent

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This discussion was created from the release v0.5.0.

[cryxnet]

https://cryxnet.github.io/DeepMCPAgent/cross-agent/