"How to check differences between files" matching MCP servers:

A local stdio MCP server for managing files on XServer via SFTP, enabling secure file operations, backups, and workspace management for XServer hosting.

Enables AI agents to check the live operational status of hundreds of cloud, SaaS and AI providers, returning current state, affected components and active incidents for a named stack so agents can tell a vendor outage apart from their own broken code. It answers from a continuously polled local database, so agents can query stacks, list degraded providers, and review incident history without calling vendor status pages.

An MCP server that enables interaction with the Firebase App Check API, allowing users to verify and manage the authenticity of requests to Firebase backend services through natural language.

Enables AI assistants to manage Check Point CloudGuard WAF configuration through natural language, including assets, profiles, practices, and policy.

Publishes what an AI made — a page, a markdown or PDF doc, or a whole site — to a live HTTPS link. Runs locally over stdio from the @drop2run/mcp npm package, or hosted at https://mcp.dropto.run/mcp for chats that connect by URL.

Enables Claude Code to use Alibaba Cloud Token Plan models via a local proxy that maps Anthropic-style model names to Alibaba IDs and provides missing endpoints like model discovery.

Enables secure, read-only querying of Google BigQuery datasets through a stateless MCP server with OAuth 2.1 authorization, designed for integration with Atlassian Rovo.

Enables natural-language querying and authenticated CRUD operations against SAP S/4HANA or ECC OData services through dynamic MCP tools with progressive service and entity discovery.

An MCP server that automates the backup of Cloudflare projects to a GitHub repository, providing a systematic way to preserve Cloudflare configurations and assets.

Read-only MCP server for XServer API, enabling Claude to check server status like disk usage, domains, mail, and cron via natural language.

Provides MCP tools to create, run commands in, checkpoint, and delete durable cloud environments, giving coding agents persistent state between calls.

Read-only MCP server to list your SkyNode servers and check their status (IP, state, region, expiry). It does not modify or control servers.

An MCP server that exposes Backblaze B2 Cloud Storage as tools any MCP-compatible AI client can call. Manage B2 by talking to an assistant -- list buckets, upload, download, delete versions, and check usage against a budget.

Enables creating storage buckets and uploading media files to Supabase Storage through natural language, with no delete or overwrite capabilities.

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.

Enables AI agents to deploy static files and get live HTTPS URLs instantly, with support for custom domains and data residency.

Timeweb Cloud S3 MCP server and Go CLI: browse, preview and restore files in a bucket, check prefix and backup volume. Read-only by default; write, delete and admin tools only behind switches, destructive calls confirmed by a person.

Enables AI agents to create, check, deploy, and host static sites, manage files and forms, configure custom domains, and view quotas and analytics through a hosted MCP endpoint.

Read-only MCP server for the RareCloud API, enabling AI agents to list servers, browse the catalog, check billing, and plan deployments.

Integrates Aliyun domain API to allow AI assistants to check domain availability, query domain details, list domains, and create registration orders.

PolicyPulse connects your AI assistant directly to your Kubernetes policy engines. Instead of switching between three dashboards and two CLIs, you ask in plain English and get answers enriched with CIS Kubernetes, PCI-DSS, NIST 800-53, and SOC 2 framework references.

Enables Claude to interact with Karma Alert dashboard to monitor and analyze Kubernetes alerts. Provides tools to check alert status, filter by cluster/severity, get detailed alert information, and analyze alert statistics and trends.

Enables AI assistants to query and manage KubeVela application delivery: check application status, trigger deployments, track workflows, manage addons, and more.

MCP server for AWS SSO authentication and profile management, enabling AI assistants to check identity, switch profiles, and manage EC2/EKS resources.

Enables AI assistants to execute SQL queries against AWS Athena databases, check query status, retrieve results, and manage saved queries with support for both local and remote deployment via Lambda.

Enables durable, encrypted, cryptographically verified storage for MCP agents with self-serve signup and 12 GB free tier.

A Python-based MCP server that acts as a bridge between MCP-compatible clients and the Google Sheets API, enabling AI-driven automation and data manipulation workflows.

MCP server enabling AI models to list S3 buckets, objects, and download files securely.

Mercado Pago's Official MCP Server offers tools so that developers can easily interact with our API using natural language, which simplifies tasks and product integration. Remotely hosted by Mercadolibre supporting Streamable HTTP Transport. Details on how to connect: https://mcp.mercadopago.com/

Enables automatic weather information retrieval through a custom MCP server integrated with OpenAI using Cloudflare tunnels. Demonstrates seamless function calling between OpenAI and custom MCP tools without manual intervention.

Enables LLMs like Claude to interact directly with Oracle Cloud Infrastructure resources, supporting dynamic profile switching between tenancies and comprehensive management of compute instances, database systems, and OCI resources through natural language.

This Model Context Protocol server enables AI assistants to interact directly with Ansible, allowing them to execute playbooks, manage inventory, check syntax, and perform other Ansible operations.

A high-performance server that enables integration between Apache CloudStack infrastructure and AI assistants through the Model Context Protocol, providing comprehensive tools for managing virtual machines, storage, networking, and other cloud resources.

Model Context Protocol (MCP) is a new, standardized protocol for managing context between large language models (LLMs) and external systems. In this repository, we provide an installer as well as an MCP Server for Upstash Developer API's.

Runs locally over stdio to expose tools for listing services, controlling power, reading logs and console output, managing files and backups, and deploying directories or transferring files between your machine and your servers. It acts with the permissions of your signed-in token, and destructive actions can require approval in the panel.

This read-only MCP Server allows you to connect to Azure Analysis Services data from Claude Desktop through CData JDBC Drivers. For full CRUD support, check out the first managed MCP platform: CData Connect AI (https://www.cdata.com/ai/).

MCP server that migrates Amazon Quick Suite resources (Spaces, Chat Agents, Action Connectors, and S3 Knowledge Bases) between AWS accounts, preserving permissions and linkages, with idempotency and preview dry-run support.

Enables AI tools to manage files, web apps, and scheduled tasks on PythonAnywhere through the Model Context Protocol.

Enables LLMs to interact with Cloudera AI Workbench APIs for managing files, jobs, models, experiments, projects, and applications.

Enables AI agents and MCP clients to launch, inspect and manage Gameye multiplayer game server sessions, check image tags and regions, and fetch logs and artifacts using plain language from within their editor.