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    Provides LLMs with tools to interact with the MASV API. MASV is an easy-to-use and ultra-reliable managed file transfer service designed for teams of all sizes. It allows users to send and receive massive files without size limits, while ensuring data integrity and security through its robust cloud infrastructure that supports cloud, on-prem, and hybrid workflows. Learn more https://massive.io/
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    MIT
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    Enables AI agents to manage databases, deploy serverless JavaScript functions, and handle cloud file storage on the Codehooks.io platform. It supports full CRUD operations on collections, key-value storage with TTL, and comprehensive system logging.
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    Provides MCP tools for AI agents to provision and manage Postgres databases, file storage, static sites, serverless functions, and authentication through the Run402 platform.
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    MIT
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    Enables AI agents to interact with Insforge backend-as-a-service platform through the Model Context Protocol, providing tools for database management, authentication, and storage operations.
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    Apache 2.0
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    Enables natural language exploration and management of Volcengine TOS storage, allowing users to list buckets, browse objects, and retrieve file contents. It supports content retrieval for various data types including text, images, and video files.
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    Enables the deployment of HTML content, folders, and full-stack projects to EdgeOne Pages to generate publicly accessible URLs. It integrates with edge functions and KV storage to provide fast content delivery and supports custom domain configuration.
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    The Model Context Protocol (MCP) Server built on Qiniu Cloud products supports users in accessing Qiniu Cloud Storage, intelligent multimedia services, and more through this MCP Server within the context of AI large model clients.
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    Enables AI assistants to interact with and manage Google Cloud Platform resources including Artifact Registry, BigQuery, Cloud Build, Compute Engine, Cloud Run, Cloud Storage, and monitoring services through a standardized MCP interface.
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    Enables AI models to perform file operations, user management, automations, and more within Files.com's secure file transfer platform via the Model Context Protocol.
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    Enables management of Zadara VPSA Storage Arrays and Object Storage endpoints, including volume operations, snapshot creation, and bucket management. It allows users to interact with storage resources and retrieve performance metrics using natural language or custom API requests.
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    Enables AI assistants to search, query, and manage ocean/environmental datasets from the Oceanum platform, and to read, write, and delete files in Oceanum cloud storage.
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    MIT