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 - **[Arduino](https://github.com/vishalmysore/choturobo)** - MCP Server that enables AI-powered robotics using Claude AI and Arduino (ESP32) for real-world automation and interaction with robots.
 - **[arXiv API](https://github.com/prashalruchiranga/arxiv-mcp-server)** - An MCP server that enables interacting with the arXiv API using natural language.
 - **[arxiv-latex-mcp](https://github.com/takashiishida/arxiv-latex-mcp)** - MCP server that fetches and processes arXiv LaTeX sources for precise interpretation of mathematical expressions in papers.
+- **[Arr Suite](https://github.com/shaktech786/arr-suite-mcp-server)** - Intelligent MCP server for Plex and the complete *arr media automation suite (Sonarr, Radarr, Prowlarr, Bazarr, Overseerr) with natural language processing for unified media management.
 - **[Atlassian](https://github.com/sooperset/mcp-atlassian)** - Interact with Atlassian Cloud products (Confluence and Jira) including searching/reading Confluence spaces/pages, accessing Jira issues, and project metadata.
 - **[Atlassian Server (by phuc-nt)](https://github.com/phuc-nt/mcp-atlassian-server)** - An MCP server that connects AI agents (Cline, Claude Desktop, Cursor, etc.) to Atlassian Jira & Confluence, enabling data queries and actions through the Model Context Protocol.
 - **[Attestable MCP](https://github.com/co-browser/attestable-mcp-server)** - An MCP server running inside a trusted execution environment (TEE) via Gramine, showcasing remote attestation using [RA-TLS](https://gramine.readthedocs.io/en/stable/attestation.html). This allows an MCP client to verify the server before connecting.
@@ -1197,6 +1198,7 @@ A growing set of community-developed and maintained servers demonstrates various
 - **[Rememberizer AI](https://github.com/skydeckai/mcp-server-rememberizer)** - An MCP server designed for interacting with the Rememberizer data source, facilitating enhanced knowledge retrieval.
 - **[Replicate](https://github.com/deepfates/mcp-replicate)** - Search, run and manage machine learning models on Replicate through a simple tool-based interface. Browse models, create predictions, track their status, and handle generated images.
 - **[Resend](https://github.com/Klavis-AI/klavis/tree/main/mcp_servers/resend)** - Send email using Resend services
+- **[Restream](https://github.com/shaktech786/restream-mcp-server)** - Model Context Protocol server for Restream API integration - manage multi-platform live streams, control channels, and access streaming analytics.
 - **[Revit MCP](https://github.com/revit-mcp)** - A service implementing the MCP protocol for Autodesk Revit.
 - **[Rijksmuseum](https://github.com/r-huijts/rijksmuseum-mcp)** - Interface with the Rijksmuseum API to search artworks, retrieve artwork details, access image tiles, and explore user collections.
 - **[Riot Games](https://github.com/jifrozen0110/mcp-riot)** - MCP server for League of Legends – fetch player info, ranks, champion stats, and match history via Riot API.