Aser
Aser is a lightweight, self-assembling AI Agent frame.
What is Aser?
Aser is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to aser is a lightweight, self-assembling ai agent frame.
Aser is a lightweight, self-assembling AI Agent frame.
This server falls under the Coding Agents category on MCPgee, the world's largest MCP server directory with 33,000+ servers.
Features
- Aser is a lightweight, self-assembling AI Agent frame.
Use Cases
Maintainer
Works with
Installation
Manual Installation
npx aserConfiguration
Configuration Details
claude_desktop_config.json
Performance
Response Metrics
Resource Usage
How to Set Up and Use Aser
Aser is a lightweight, self-assembling AI agent framework written in Python that supports MCP integration, allowing agents to use MCP-hosted tools as part of their workflow. It supports multiple LLM backends, multi-agent topologies (router, sequential, parallel, hierarchical), built-in memory and knowledge modules, Web3 connectivity via chat2web3, and external clients including Discord and Telegram. Developers use Aser to compose flexible AI agents from modular pieces without heavyweight dependencies.
Prerequisites
- Python 3.10 or higher with pip installed
- An LLM API key (e.g. OpenAI API key for GPT models)
- MODEL_BASE_URL and MODEL_KEY set in a .env file
- An MCP client or environment where you want to integrate the agent
Install Aser from PyPI
Install the aser package using pip. This pulls in all core dependencies for the agent framework.
pip install aserClone the repository for examples (optional)
If you want to run the bundled examples including the MCP integration example, clone the repository and install dependencies.
git clone https://github.com/AmeNetwork/aser.git
cd aser
pip install -r requirements.txtConfigure your environment
Create a .env file in your project root with the LLM endpoint and API key. You only need to set the variables for the model you plan to use.
MODEL_BASE_URL=https://api.openai.com/v1
MODEL_KEY=sk-your-openai-key-hereCreate a basic agent
Import the Agent class, set a model, and start a conversation. This confirms your environment is correctly configured before adding MCP tools.
from aser.agent import Agent
agent = Agent(name="my-agent", model="gpt-4o-mini")
response = agent.chat("What is the current Bitcoin price?")
print(response)Add MCP tools to an agent
Pass an mcp parameter when constructing the Agent to attach MCP-hosted tools. Refer to the agent_mcp.py example in the repository for a full working configuration.
# See examples/agent_mcp.py in the repository for the full pattern
agent = Agent(
name="aser-mcp",
model="gpt-4o-mini",
mcp=[your_mcp_tool_instance]
)Aser Examples
Client configuration
Aser is used as a Python framework rather than a standalone MCP server. The snippet below shows how to run an Aser agent script from within an MCP host environment.
{
"mcpServers": {
"aser": {
"command": "python",
"args": ["/path/to/your/aser_agent.py"]
}
}
}Prompts to try
Once an Aser agent is running and connected, try these interactions.
- "What is Bitcoin trading at right now?"
- "Summarise the last 5 Ethereum transactions for wallet address 0x..."
- "Run a web search for the latest AI agent research papers."
- "Coordinate a sequential multi-agent pipeline to fetch data and then summarise it."Troubleshooting Aser
ImportError or missing module when running Aser
Make sure you installed from PyPI with 'pip install aser' and that your virtual environment is activated. If cloning from source, run 'pip install -r requirements.txt' inside the repo directory.
Authentication errors when calling the LLM
Check that MODEL_KEY is set correctly in your .env file and that MODEL_BASE_URL points to the correct endpoint for your provider. The .env file must be in the working directory where you run the agent.
MCP tools not being invoked by the agent
Review the examples/agent_mcp.py file in the repository for the correct pattern of instantiating and passing MCP tool objects to the Agent constructor.
Frequently Asked Questions about Aser
What is Aser?
Aser is a Model Context Protocol (MCP) server that aser is a lightweight, self-assembling ai agent frame. It connects AI assistants to external tools and data sources through a standardized interface.
How do I install Aser?
Follow the installation instructions on the Aser GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.
Which AI clients work with Aser?
Aser works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.
Is Aser free to use?
Yes, Aser is open source and available under the MIT license. You can use it freely in both personal and commercial projects.
Aser Alternatives — Similar Coding Agents Servers
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Set Up Aser in Your Editor
Choose your AI client for step-by-step setup instructions.
Quick Config Preview
Add this to your claude_desktop_config.json or .cursor/mcp.json
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