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MCP verified Apache-2.0 Self-run

Axio Framework

mcp-shivay00001-axio-framework · by Shivay00001

The AI-Native Full-Stack Engine. Declare intent in Python DSL Generate production React + FastAPI + Agent runtime.

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Install

$ agentstack add mcp-shivay00001-axio-framework

✓ scanned · ✓ verified — works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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About

⚡ Axio Framework

The AI-Native Full-Stack Engine

[](https://pypi.org/project/axio-framework/) [](LICENSE) [](https://github.com/Shivay00001/axio-framework)


Axio is a high-performance, AI-native framework designed for the future of software development. It enables developers to build complex, full-stack applications by declaring intent in a simple Python DSL. The Axio compiler then transforms these declarations into production-ready React frontends, FastAPI backends, and isolated Agent Runtimes.

🚀 Key Differentiators

  • Declaration Over Implementation: Stop writing boilerplate. Define agents, views, and workflows; Axio handles the rest.
  • AI as a First-Class Citizen: Reasoning loops, tool orchestration, and memory are built directly into the language constructs.
  • Multi-Agent Orchestrator: Native support for complex, coordinated multi-agent workflows with context isolation.
  • Hybrid Memory Engine: Seamless integration of Vector (Semantic), Graph (Relationship), and Cache storage.
  • MCP Native: Built-in support for the Model Context Protocol to easily connect agents to any tool or data source.

🛠️ Tech Stack

| Layer | Technology | | :--- | :--- | | Frontend | React 18+, TypeScript, Tailwind CSS, Vite | | Backend | FastAPI, Uvicorn, Pydantic | | Agents | Claude-3.5-Sonnet (Default), OpenAI, Multi-Model Logic | | Memory | pgvector (PostgreSQL), Neo4j (Graph), Redis (Cache) | | Infrastructure | Docker, Kubernetes, OpenTelemetry |

📦 Installation

pip install axio-framework

🏗️ Quick Start

1. Initialize Project

axio new my-smart-app
cd my-smart-app

2. Define an Agent (app.py)

@app.agent(name="researcher", model="claude-sonnet-4")
class ResearchAgent:
    async def analyze(self, query: str):
        return await self.reason(objective=f"Analyze {query}")

3. Run Development Server

axio dev

📜 License

This project is licensed under the Apache 2.0 License - see the [LICENSE](LICENSE) file for details.


Built with ❤️ for the AI Engineer Era

Source & license

This open-source MCP server is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

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Versions

  • v0.1.0 Imported from the upstream source.