"A YouTube MCP server with statistics, available via npx or Python command" matching MCP servers:

- Upload videos to YouTube from MCP - Client(Claude/Cursor/VS Code) - OAuth2 authentication flow - Access token and refresh token management - Multi Channel Support

Enables LLMs to interact with embedded devices by reading and writing Segger RTT data through a J-Link debugger.

An MCP server for querying Grafana Loki directly with a discovery-first workflow — labels, values, series, and LogQL queries without requiring Grafana.

MCP server for GLEIF LEI (Legal Entity Identifier) database access. Look up, validate, and search legal entities and their relationships in the global LEI system.

MCP server for ProductPlan - enables AI assistants to interact with roadmaps, OKRs, and discovery features.

MCP server for MediaWiki wikis. Search, read, edit, and manage wiki content from AI assistants. Includes formatting, link checking, revision history, and markdown conversion.

MCP server for controlling Miro whiteboards with AI assistants. Create and manage stickies, shapes, frames, connectors, and more.

A Model Context Protocol server that enables AI assistants to read from and write to Microsoft Excel files, supporting formats like xlsx, xlsm, xltx, and xltm.

Model Context Protocol (MCP) server for the Rancher ecosystem: multi-cluster Kubernetes, Harvester HCI (VMs, storage, networks), and Fleet GitOps.

A TypeScript server implementing the Model Context Protocol that provides secure code execution in isolated Docker containers, allowing LLM applications to safely run Python, Go, or JavaScript code snippets.

Enables MCP-compatible clients to interact with Fingerprint's identification events and management APIs, supporting both private and public modes with tool filtering and multiple transport protocols.

Query and interact with kubernetes environments monitored by Metoro. Look at APM, metrics, traces, profiling information with LLMs.

A Model Context Protocol server for Massdriver that enables AI assistants to manage infrastructure platform resources like projects, environments, deployments, policies, and more. It provides 106 tools and supports stdio or HTTP transports.

GitHub's official MCP Server

The Terraform MCP Server is a Model Context Protocol (MCP) server that integrates seamlessly with Terraform Registry and HCP Terraform APIs, enabling advanced automation and interaction capabilities for Infrastructure as Code (IaC) development.

Enables AI video dubbing from any MCP-capable agent: upload a video or provide a URL, submit a dubbing job, poll progress, and download the finished MP4.

Connect your Umami Analytics to any MCP client to derive insights from natural language.

A governed SQL gateway for untrusted AI agents, providing controlled access to PostgreSQL, MySQL, and OceanBase with RBAC, field ACLs, row policies, and cost controls.

An MCP (Model Context Protocol) server for managing Tailscale resources using the official Tailscale Go client library v2. This server provides complete coverage of the Tailscale API with enhanced, self-descriptive tools powered by OpenAPI documentation.

Enables AI assistants to inspect a Crossplane control plane read-only, discovering managed, composite and claim resources, tracing composition trees, and explaining failures with events and reasons. It also surfaces package health, composition definitions and validation, environment and runtime configs, and overall diagnostics across multiple clusters.