agentor and mcp

agentor
55
Established
mcp
48
Emerging
Maintenance 10/25
Adoption 10/25
Maturity 15/25
Community 20/25
Maintenance 10/25
Adoption 5/25
Maturity 16/25
Community 17/25
Stars: 160
Forks: 31
Downloads: —
Commits (30d): 0
Language: Python
License: Apache-2.0
Stars: 9
Forks: 8
Downloads: —
Commits (30d): 0
Language: Makefile
License: MIT
No Package No Dependents
No Package No Dependents

About agentor

CelestoAI/agentor

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

This project helps developers quickly build, test, and deploy AI agents that can perform complex tasks, communicate with each other, and use external tools. It takes your agent's instructions and tool definitions and outputs a deployable, robust AI agent accessible via an API endpoint. This is for AI/ML engineers and developers who need to integrate AI agents into production applications.

AI agent development ML engineering API development Serverless deployment Multi-agent systems

About mcp

hanzoai/mcp

Model Context Protocol server with 260+ tools for AI agents

This project provides a server that integrates a wide range of operational tools, like file system access, code execution, version control, and web requests, directly into AI models. It acts as an intermediary, allowing AI agents to perform complex, real-world tasks by providing them with structured access to these capabilities. Software developers, DevOps engineers, and AI solution architects would use this to empower their AI systems to interact with computing environments effectively.

AI agent development developer tools DevOps automation AI system integration AI workflow orchestration

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