agentor MCP Server
CelestoAI/agentor
[](https://agentrank-ai.com/tool/CelestoAI--agentor/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent.
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
CelestoAI/agentor is a Python tool licensed under Apache-2.0. Open source version of Claude Managed Agents. Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Topics: agents, llms, ai-agents, ai-assistant, ai-tools, mcp, mcp-server, text-generation.
Ranked #4818 out of 24846 indexed tools.
Ecosystem
Score Breakdown
210 stars → growing community
Last commit 2mo ago → moderate activity
12/16 issues closed → decent issue management
7 contributors → small team
No dependents → no downstream usage
253 weekly installs → early adoption
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
How to Improve
Matched Queries
From the README
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Fastest way to build and deploy long-running AI agents—with durability, observability, and security.
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<a href="https://docs.celesto.ai">Docs</a> |
<a href="https://github.com/CelestoAI/agentor/tree/main/examples">Examples</a>
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## Features
| Feature | Description | Docs
|---------------------------|------------------------------------------|-----------------------|
| 🚀 MCP & tool security | The only **full FastAPI compatible** MCP Server with decorator API | [Link](https://docs.celesto.ai/agentor/tools/LiteMCP)
| 🦾 Agent-to-agent | Multi-agent communication | [Link](https://docs.celesto.ai/agentor/agent-to-agent)
| 📊 Observability | Agent tracing and monitoring | [Link](https://celesto.ai)
| Read full README on GitHub → Get the weekly AgentRank digest
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