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    A Model Context Protocol server that exposes Firebase Firestore and Authentication to AI agents, supporting multi-project configurations and read operations.
    5
    109
    MIT
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    A simple MCP server that provides a basic greeting tool and serves as a starter template for AWS Lambda deployment. Demonstrates how to build and deploy MCP servers with both local development and cloud deployment capabilities.
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    MIT
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    Bridges a local AI agent to a Colab session in the browser, enabling code execution and file operations through the Model Context Protocol.
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    Apache 2.0
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    infomaniak-mcp-agent lets Claude (or any MCP client) drive a real Infomaniak account end-to-end through 54 tools — web hosting, mail, kDrive, domains, DNS, DNSSEC, FTP/SSH users, AI catalogue and more. Every destructive operation goes through a strict two-phase commit (plan + single-use confirmation token) so the agent can never silently mutate your account. Open Source
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    MIT
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    Implementation of Model Context Protocol (MCP) server that provides tools for accessing Google Cloud's Vertex AI Gemini models, supporting features like web search grounding and direct knowledge answering for coding assistance and general queries.
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    MIT
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    An MCP server that integrates Alibaba Cloud DashScope's FLUX model to provide AI-powered image generation optimized for web design workflows. It enables users to generate high-quality web assets like hero images and product mockups using natural language prompts.
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    MIT
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    调用官方智睦云打印服务(any.webprinter.cn),支持查询打印机、上传本地文件、创建漫游打印任务、直接打印到指定设备,以及分别更新单双面、颜色、份数和纸张等打印参数。
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    MIT
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    A tool that allows deployment of a Model Context Protocol server on Cloudflare Workers without authentication requirements, enabling users to create and use custom AI tools via the Cloudflare AI Playground or Claude Desktop.
    9
    ISC
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    Enables comprehensive integration with Azure AI services including OpenAI, Cognitive Services, Computer Vision, and Face API through a mission-critical MCP server. Provides enterprise-grade reliability with high availability, observability, chaos engineering, and secure multi-region deployment capabilities.
    MIT
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    Enables AI clients to interact with Letta.ai's stateful agents via cloud deployment on Railway. Provides 20+ tools for agent management, conversations, memory operations, and tool configuration through a streamable HTTP transport optimized for production use.
    5
    MIT