Upsonic MCP Server
Upsonic/Upsonic
[](https://agentrank-ai.com/tool/Upsonic--Upsonic/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Build autonomous AI agents in Python.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
Upsonic/Upsonic is a Python tool licensed under MIT. Build autonomous AI agents in Python. Topics: openai, computer-use, claude, mcp, agent-framework, agent, llms, reliability, model-context-protocol, rag, ucp, universal-commerce-protocol, autonomous-agent, autonomous-agents, openclaw.
Ranked #3040 out of 24846 indexed tools.
Has 7,957 GitHub stars.
Used by 66 other projects.
Has 41 contributors.
Ecosystem
Score Breakdown
7,957 stars → well-known project
Last commit 4mo ago → stale
165/202 issues closed → responsive maintainer
41 contributors → active community
66 dependents → few downstream users
2,092 weekly installs → gaining traction
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
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From the README
<div align="center">
# Upsonic
**Build Autonomous AI Agents in Python**
[Documentation](https://docs.upsonic.ai) • [Quickstart](https://docs.upsonic.ai/get-started/quickstart) • [Examples](https://docs.upsonic.ai/examples) • [Discord](https://discord.gg/pmYDMSQHqY)
</div>
---
## Overview
Upsonic is a Python framework for building autonomous agents like OpenClaw and Claude Cowork, as well as more traditional agent systems.
## Quick Start
### Installation
```bash
uv pip install upsonic
# pip install upsonic
```
### IDE Integration
Add Upsonic docs as a source in your coding tools:
**Cursor:** Settings → Indexing & Docs → Add `https://docs.upsonic.ai/llms-full.txt`
Also works with VSCode, Windsurf, and similar tools.
---
## Create Autonomous Agent
### Build Your Own
```python
from upsonic import AutonomousAgent, Task
agent = AutonomousAgent(
model="anthropic/claude-sonnet-4-5",
workspace="/path/to/logs"
)
task = Task("Analyze server logs and detect anomaly patt Read full README on GitHub → Get the weekly AgentRank digest
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