Deep Agentic Core MCP is a Model Context Protocol (MCP) server: Unified MCP server for AgenticLens and Agentic Chaos capabilities. In practice that means any MCP-compatible AI assistant can call Deep Agentic Core MCP's tools directly — the model decides when to use them in a conversation or agent run.
It runs locally: the Python package deep-agentic-core-mcp (via uvx) speaks MCP over stdio on your machine. No credentials are required — it works out of the box. The current release is v0.2.0, with source at DeepAgentLabs/mcp-server on GitHub.
Deep Agentic Core MCP is listed under AI & Agents on mcp.site and works with any MCP client — Claude Desktop, Claude Code, Cursor, VS Code, Windsurf, Zed and the rest of the ecosystem — using the install snippets below. If you maintain Deep Agentic Core MCP for DeepAgentLabs, claim this listing to verify ownership, earn the Verified badge, and keep the details current.
▸PyPI package — deep-agentic-core-mcp · MCP over stdio