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qualityD
maintenanceEnables AI agents to perform CRM operations like creating contacts, managing deals, and updating leads through natural language using the Model Context Protocol.
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"Using AI to Manage My Server" matching MCP servers:
- FlicenseAqualityDmaintenanceEnables interaction with the DROYD AI trading agent API for cryptocurrency research, project discovery, and market screening. Users can manage watchlists, chat with AI agents, and execute trades directly through MCP-compatible clients.Last updated8
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- AlicenseBqualityBmaintenanceProvides a comprehensive suite of tools for agents to access Deva Agent Resources, including social networking, AI-powered generation, web search, and file storage. It supports automated USDC payment flows for paid resources and integrates with major MCP clients like Claude Desktop and Cursor.Last updated404MIT
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Mandoline MCP Serverofficial
Alicense-qualityDmaintenanceEnables AI assistants to reflect on, critique, and continuously improve their performance using Mandoline's evaluation framework. Provides tools for creating custom evaluation metrics and scoring prompt/response pairs to measure AI assistant quality.Last updated4Apache 2.0- Alicense-qualityFmaintenanceAllows users to integrate their custom Quickchat AI Agents into various AI applications (Claude Desktop, Cursor, VS Code, etc.) through the Model Context Protocol, enabling AI-to-AI interactions.Last updated24MIT
- Alicense-qualityDmaintenanceConnects Claude and other MCP-compatible AI assistants to the AI Bounty Board, enabling natural language discovery, claiming, and submission of bounties.Last updatedMIT
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- Alicense-qualityDmaintenanceBridges Cline to an AI agent system through the Model Context Protocol, enabling message sending, session management, and assistant switching for seamless interaction with AI agents.Last updatedMIT
- Alicense-qualityCmaintenanceEnables AI agents to discover, compare, and select the best AI models across multiple providers based on pricing, performance, and capabilities, with real-time cost estimation and benchmarking.Last updated39MIT
