"Information about 'fetch' or related resources" matching MCP servers:

A Model Context Protocol server that enables Claude to execute Python code using boto3 to query and manage AWS resources directly from conversations.

Enables AI bots and agents to call self-hosted APIs behind Cloudflare Access through a single HTTP fetch tool, using human-approved OAuth tokens instead of long-lived credentials.

Enables LLMs to configure Tencent Cloud resources such as DNSPod DNS records and CVM/Lighthouse security group rules by controlling a locally logged-in Edge browser over CDP, leveraging existing login state without needing API keys or credentials.

Enables unified administrative control over Cloudflare, Porkbun, Docker, Proxmox VE, Nginx Proxy Manager/NPMPlus, Uptime Kuma, Authentik, and Coolify. Exposes service discovery and action execution through three MCP tools with roughly 150 cataloged operations for managing DNS, containers, VMs, proxies, monitors, users, and related infrastructure.

Connects Claude Desktop to a Qlik Cloud tenant for admin operations, allowing users to manage resources like spaces, apps, and automations via natural language.

Deploys and manages projects on Swigs Cloud from any MCP client, turning folders or git repositories into live HTTPS sites in about two minutes.

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.

Cloud cost management MCP server for Azure. Ask your AI about your cloud bill.

Enables Claude Code to manage Hetzner Cloud servers, including creating, deleting, powering on/off, and rebooting servers, as well as managing SSH keys and listing resources.

A reference MCP server for observing Vercel projects and deployments over stdio. It provides read-only tools to list and fetch details of Vercel projects and deployments.

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.

Enables AI agents to scan AWS accounts, build resource relationship graphs, detect unused resources, and export data via MCP tools.

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.

The Hostinger MCP server enables seamless integration of Hostinger’s API with AI tools. This server exposes Hostinger API endpoints as callable tools, allowing AI models to fetch live data or perform real-time actions on hosting infrastructure.

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.

Cross-cloud observability for AI agents. Discover resources, correlate logs, and diagnose infrastructure issues across AWS, GCP, Vercel, and Cloudflare — without leaving your editor.

MCP server for managing Linode cloud resources via the Linode API, enabling LLMs to create, list, delete, and reboot instances.

Enables natural-language queries about Azure resource compliance, including VM compliance, patch status, orphaned RBAC, and infrastructure health, through read-only MCP tools.

A local MCP server for read-only querying of AWS resources (Lambda, S3) via Boto3, currently exposing a health check tool with planned tools for listing resources and checking free tier.

Self-hosted email aliases on Cloudflare Workers (free tier). Agents can create/list/delete aliases, read recent messages and fetch verification codes.

Enables natural language interaction with ServiceNow Fluent SDK commands, API specifications, and development resources for AI-assisted environments.

Enables AI assistants to search and retrieve information about Terraform providers and modules from the public Terraform registry, including detailed documentation, version information, and resource specifications.

Read-only MCP server that exposes Kubernetes platform state (tenants, pods, SLOs, ArgoCD applications, chaos schedules, and catalog services) to AI agents, enabling natural language queries about cluster health and configuration.

MCP server for interacting with the Krova Cloud API, enabling AI assistants like Claude to manage cloud resources.

Enables management of LunaNode VPS resources including VMs, images, volumes, floating IPs, SSH keys through natural language with tiered safety controls.

Enables safe, read-only interaction with Kubernetes clusters, allowing users to list resources and fetch logs without any create/update/delete operations.

Enables managing DigitalOcean cloud resources, including Droplets, databases, domains, and more, via natural language.

Enables management of Railway.app infrastructure through natural language, including deploying services, managing environment variables, monitoring deployments, and controlling project resources.

Enables safe management of Vultr VPS instances, including listing resources, previewing and creating instances with cost limits, and performing mutations like reboot and delete only after exact confirmation.

Enables AI assistants to read Oracle Linux Virtualization Manager and oVirt inventory through the engine REST API, including VMs, hosts, and related details. It provides read-only tools for searching and retrieving VMs and KVM hosts.