by OpenAdaptAI · MCP Server · ★ 71
Last updated: · Indexed by AgentSkillsHub · Auto-synced every 8h
OmniMCP OmniMCP provides rich UI context and interaction capabilities to AI models through Model Context Protocol (MCP) and microsoft/OmniParser. It focuses on enabling deep understanding of user interfaces through visual analysis, structured planning, and precise interaction execution. Core Features Visual Perception: Understands UI elements using OmniParser. LLM Planning: Plans next actions based on goal, history, and visual state. Agent Executor: Orchestrates the perceive-plan-act loop (). Action Execution: Controls mouse/keyboard via (). CLI Interface: Simple entry point () for running tasks. Auto-Deployment: Optional OmniParser server deployment to AWS EC2 with auto-shutdown. Debugging: Generates timestamped visual logs per step. Overview cl
| Stars | 71 |
| Forks | 16 |
| Language | Python |
| Category | MCP Server |
| Quality Score | 75.4975666005666/100 |
| Open Issues | 16 |
| Last Updated | 2025-04-08 |
| Created | 2025-03-17 |
| Platforms | aws, gemini, mcp, python |
| Est. Tokens | ~1680k |
Looking for a OmniMCP alternative? If you're comparing OmniMCP with other mcp server tools, these 6 projects are the closest alternatives on Agent Skills Hub — ranked by topic overlap, star count, and community traction.
Python version of 📦 repopack (https://github.com/yamadashy/repopack) by yamadashy (https://github.com/yamadas
An introduction to the world of AI Agents
Turn topics, links, and files into AI-generated research notebooks — summarize, explore, and ask anything.
A handy lib for smooth interaction with large language models (LLMs) and crafting AI apps.
🤖 A curated list of websites that restrict access to AI Agents, AI crawlers and GPTs
🦾 A production‑ready research outreach AI agent that plans, discovers, reasons, uses tools, auto‑builds cited
Explore other popular mcp server tools:
OmniMCP is OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.. It is categorized as a MCP Server with 71 GitHub stars.
OmniMCP is primarily written in Python. It covers topics such as anthropic, aws, computeruse.
You can find installation instructions and usage details in the OmniMCP GitHub repository at github.com/OpenAdaptAI/OmniMCP. The project has 71 stars and 16 forks, indicating an active community.
The top alternatives to OmniMCP on Agent Skills Hub include repopack-py, oreilly-ai-agents, decipher-research-agent. Each offers a different approach to the same problem space — compare them side-by-side by stars, quality score, and community activity.