aser MCP Server
AmeNetwork/aser
[](https://agentrank-ai.com/tool/AmeNetwork--aser/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Aser is a lightweight, self-assembling AI Agent frame.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
AmeNetwork/aser is a Python tool licensed under MIT. Aser is a lightweight, self-assembling AI Agent frame. Topics: agent, agents, ai, ai-agent, onchain-ai, aser, mcp, multi-agent, rag, a2a-protocol, ai-memory, self-evolving-ai, text2sql, web3, workflow, erc8004, llm.
Ranked #4957 out of 24846 indexed tools.
Ecosystem
Score Breakdown
469 stars → growing community
Last commit 9d ago → recently updated
1/4 issues closed → many open issues
2 contributors → solo project
No dependents → no downstream usage
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
# Aser
Aser is a minimalist, modular, and versatile AI agent framework. You can assemble an agent with just a few lines of code.
[Twitter](https://x.com/Web3Rickey) | [Documentation](https://docs.ame.network/aser/overview) | [Get Support](https://t.me/hello_rickey) | [中文](./README_CN.md)
## Installation
**Install from pypi:**
```bash
pip install aser
```
**Or clone the repository:**
```bash
git clone https://github.com/AmeNetwork/aser.git
cd aser
pip install -r requirements.txt
```
## Set up environment variables
Please refer to `.env.example` file, and create a `.env` file with your own settings. You don't need to configure all environment variables, just select the ones you use.
**.env file example:**
```bash
#MODEL
MODEL_BASE_URL=<your model base url>
MODEL_KEY=<your model key>
```
## Usage
```python
#Basic
from aser.agent import Agent
agent=Agent(name="aser agent",model="gpt-4.1-mini")
response=agent.chat("what's bitcoin?")
print(response)
```
```python
# Full configu Read full README on GitHub → Get the weekly AgentRank digest
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