关键词 "activity organization" 的搜索结果， 共 15 条, 只显示前 480 条
Enhanced MCP server for GitLab: group projects listing and activity tracking
Roo Code/Clineにアクティビティを記録させるmcp-server
A powerful Model Context Protocol (MCP) server for GitHub Enterprise that enables AI agents to access and manage enterprise users, organizations, and licenses.
MCP server to interact with your Asgardeo organization through LLM tools
An MCP server leveraging the Skate AMM SDK & Goat SDK - powering DeFi activity
This MCP server provides access to information about the Dominican Congress, including legislative agendas, legislator activity, and new bills.
Fast MCP integration for NetworksDB API - Query IP addresses, organizations, ASNs, and DNS records using natural language through Model Context Protocol
DexPaprika MCP server allows access real-time and historical data on crypto tokens, DEX trading activity, and liquidity across multiple blockchains. It enables natural language queries for exploring m
Data Agents are intelligent assistants built by data engineers to help non-data professionals navigate the organization’s data infrastructu
A complete walkthrough on how to build an MCP server to serve a trained Random Forest model and integrate it with Bee Framework for ReAct interactivity.
Model Context Protocol server for ActivityWatch time tracking data
🗂️ A Model Context Protocol (MCP) server that provides integration with Turso databases for LLMs. This server implements a two-level authentication system to handle both organization-level and databas
Claude Server is an MCP implementation that enhances Claude's capabilities by providing sophisticated context management across sessions, enabling persistent knowledge organization through hierarchica
Supporting multiple themes, automatic long text splitting, one-click image export, making your content creation easier and more efficient. Completely free, start using now! MD2Card is a simple and ea
ViLAMP（VIdeo-LAnguage Model with Mixed Precision）是蚂蚁集团和中国人民大学联合推出的视觉语言模型，专门用在高效处理长视频内容。基于混合精度策略，对视频中的关键帧保持高精度分析，显著降低计算成本提高处理效率。ViLAMP在多个视频理解基准测试中表现出色，在长视频理解任务中，展现出显著优势。ViLAMP能在单张A100 GPU上处理长达1万帧（约3小时）
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