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    A Model Context Protocol server that enables AI assistants to interact with MongoDB Atlas resources through natural language, supporting database operations and Atlas management functions.
    28
    185,562 npm
    1,157
    Apache 2.0
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    Enables interaction with MongoDB databases and MongoDB Atlas through the Model Context Protocol, providing tools for database operations and Atlas management.
    185,562 npm
    Apache 2.0
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    Enables interaction with MongoDB databases and MongoDB Atlas for querying data and managing clusters via the Model Context Protocol. It supports both local and cloud-based deployments using connection strings or Atlas API credentials.
    185,562 npm
    Apache 2.0
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    Enables AI agents and MCP clients to interact with MongoDB databases and MongoDB Atlas, providing tools to query and manage data and Atlas resources through the Model Context Protocol.
    Apache 2.0
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    A Model Context Protocol server that provides access to the MongoDB Atlas API, enabling management of clusters, users, projects, backups, and more through MCP tools.
    76
    16 npm
    3
    MIT
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    A Model Context Protocol server for interacting with MongoDB Databases and MongoDB Atlas. It enables AI assistants to query, manage, and operate on MongoDB data and Atlas resources through natural language.
    25
    185,562 npm
    Apache 2.0
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    Enables AI agents to interact with MongoDB databases and MongoDB Atlas, supporting read-only and write operations, Atlas cluster management, and data exploration.
    185,562 npm
    Apache 2.0
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    Enables chat-based interaction with PostgreSQL databases, supporting table listing, queries, write operations, and saved parameterized queries, deployable as a remote MCP server via Cloudflare Workers.
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    A Model Context Protocol (MCP) Server that allows AI models to securely interact with data hosted in Azure Database for PostgreSQL. It enables natural language querying, schema exploration, and data management through MCP clients like Claude Desktop and Visual Studio Code.
    MIT
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    An MCP server that gives an AI agent controlled access to a Selectel cloud account: OpenStack cloud servers, S3 object storage, and account billing.
    1
    MIT
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    Enables AI coding agents to instantly provision ephemeral developer infrastructure like Postgres, Redis, MongoDB, and container deployments over HTTPS, with no Docker or signup required for the free anonymous tier.
    31
    MIT
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    Deploy, run and manage apps on your own self-hosted AppCrane from any MCP client. 62 tools: create an app, push code, deploy to sandbox, check health and logs, provision a managed Postgres, MariaDB, MongoDB or Redis, and promote to production after review. Your instance, your SSO, your data. Repo: https://github.com/gitayg/appcrane-mcp · npm: appcrane-mcp · Site: https://appcrane.dev
    35
    369 npm
    MIT
  • F
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    A read-only MCP server that enables querying available quantum computers and simulators from Tianyan Cloud, with tools to list running backends and retrieve detailed resource information.
    3
    -
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    An MCP server that provides offline searchable Microsoft 365 roadmap data and live Azure status, enabling AI agents to answer questions about upcoming features, roadmap changes, and Azure incidents.
    4
    MIT
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    A read-only MCP server that analyzes a supplied Terraform plan JSON file and returns resource identities, action/type/mode counts, and coverage warnings about proposed infrastructure changes. It never executes Terraform, applies changes, or connects to AWS, keeping analysis local and deterministic.
    3
    Apache 2.0
  • F
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    A Model Context Protocol (MCP) server that interfaces with the Apache YuniKorn Scheduler, allowing AI agents to observe and reason about Kubernetes batch workload resource management, queue hierarchies, and application states.
    7
    10
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    Exposes Microsoft 365 privacy/compliance audit checks as MCP tools, enabling natural language queries about tenant configuration, orphaned documents, Conditional Access policies, DLP policies, and Copilot usage.
    5
    MIT