by OpenAdaptAI · MCP 服务器 · ★ 71
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 ().
| Stars | 71 |
| Forks | 16 |
| Language | Python |
| Category | MCP 服务器 |
| Quality Score | 37.7/100 |
| Open Issues | 16 |
| Last Updated | 2025-04-08 |
| Created | 2025-03-17 |
| Platforms | aws, gemini, mcp, python |
| Est. Tokens | ~1680k |
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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 服务器 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.