agentor

by CelestoAI · MCP Server · ★ 162

About agentor

Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.

agentsai-agentsai-assistantai-toolsllmsmcpmcp-servertext-generation

Quick Facts

Stars162
Forks31
LanguagePython
CategoryMCP Server
LicenseApache-2.0
Quality Score44.2/100
Open Issues3
Last Updated2026-03-30
Created2025-06-07
Platformsmcp, python
Est. Tokens~378k

Compatible Skills

These tools work well together with agentor for enhanced workflows:

  • quant-python-ai — semantic(0.38)+complementary+same_lang+similar_pop+shared_platform (58%)
  • open-terminal — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (57%)
  • runtm — semantic(0.24)+complementary+same_lang+similar_pop+shared_platform (53%)
  • AIForge — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)
  • jarvis-ai-assistant — semantic(0.19)+complementary+same_lang+similar_pop+shared_platform (52%)

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Frequently Asked Questions

What is agentor?

agentor is Fastest way to build and deploy reliable AI agents, MCP tools and agent-to-agent. Deploy in a production ready serverless environment.. It is categorized as a MCP Server with 162 GitHub stars.

What programming language is agentor written in?

agentor is primarily written in Python. It covers topics such as agents, ai-agents, ai-assistant.

How do I install or use agentor?

You can find installation instructions and usage details in the agentor GitHub repository at github.com/CelestoAI/agentor. The project has 162 stars and 31 forks, indicating an active community.

What license does agentor use?

agentor is released under the Apache-2.0 license, making it free to use and modify according to the license terms.

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