Agentic_Workflow

ArjunBhardwaj02/Agentic_Workflow
★ 1 stars Python AI/LLM Updated today
Agentic AI platform integrating Google Workspace, Notion, Todoist, and a PDF-based RAG system. Implemented computer-control capabilities through custom and official MCP servers, orchestrated by a LangGraph multi-agent architecture. Added sandboxed file access, tool execution, and human-in-the-loop approval workflows.
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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "agentic_workflow": {
      "command": "uvx",
      "args": [
        "agentic-workflow"
      ]
    }
  }
}

Or install with pip: pip install agentic-workflow

README Excerpt

An enterprise-grade, autonomous AI orchestration system built with LangGraph, utilizing the Model Context Protocol (MCP) to seamlessly connect LLMs to local environments, vector databases, and cloud APIs. * Transitioned from a monolithic tool-calling agent to a distributed `MultiServerMCPClient` architecture.

Tools (2)

append_docwrite_sheet