by CelestoAI
Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.
# Add to your Claude Code skills
git clone https://github.com/CelestoAI/agentor
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| Feature | Description | Docs |---------------------------|------------------------------------------|-----------------------| | ๐ MCP & tool security | The only full FastAPI compatible MCP Server with decorator API | Link | ๐ฆพ Agent-to-agent | Multi-agent communication | Link | โ๏ธ Deployment | Fast serverless deployment | Link | ๐ Observability | Agent tracing and monitoring | | ๐ Tool Search API | Reduced tool context bloat |
<details> <summary>More ways...</summary> </details>The recommended method of installing agentor is with pip from PyPI.
pip install agentor
You can also install the latest bleeding edge version (could be unstable) of agentor, should you feel motivated enough, as follows:
pip install git+https://github.com/celestoai/agentor@main
Build an Agent, connect external tools or MCP Server and serve as an API in just a few lines of code:
from agentor.tools import GetWeatherTool
from agentor import Agentor
agent = Agentor(
name="Weather Agent",
model="gpt-5-mini", # Use any LLM provider - gemini/gemini-2.5-pro or anthropic/claude-3.5
tools=[GetWeatherTool()]
)
result = agent.run("What is the weather in London?") # Run the Agent
print(result)
# Serve Agent with a...