From 71726c7a83bb4535b9ca6f97cca626a45b36fe5c Mon Sep 17 00:00:00 2001 From: jhomen368 Date: Mon, 16 Mar 2026 13:21:09 -0700 Subject: [PATCH] docs: replace glama text links with badge images Signed-off-by: jhomen368 --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 5387931e..5d01d0d6 100644 --- a/README.md +++ b/README.md @@ -1041,7 +1041,7 @@ Integration with gaming related data, game engines, and services - [rishijatia/fantasy-pl-mcp](https://github.com/rishijatia/fantasy-pl-mcp/) 🐍 ☁️ - An MCP server for real-time Fantasy Premier League data and analysis tools. - [sonirico/mcp-stockfish](https://github.com/sonirico/mcp-stockfish) - 🏎️ 🏠 🍎 🪟 🐧️ MCP server connecting AI systems to Stockfish chess engine. - [stefan-xyz/mcp-server-runescape](https://github.com/stefan-xyz/mcp-server-runescape) 📇 - An MCP server with tools for interacting with RuneScape (RS) and Old School RuneScape (OSRS) data, including item prices, player hiscores, and more. -- [jhomen368/steam-reviews-mcp](https://github.com/jhomen368/steam-reviews-mcp) [glama](https://glama.ai/mcp/servers/@jhomen368/steam-reviews-mcp) 📇 ☁️ - Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions. +- [jhomen368/steam-reviews-mcp](https://github.com/jhomen368/steam-reviews-mcp) [![steam-reviews-mcp MCP server](https://glama.ai/mcp/servers/@jhomen368/steam-reviews-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@jhomen368/steam-reviews-mcp) 📇 ☁️ - Search Steam games, fetch user reviews, and analyze sentiment with topic drill-down to make informed purchasing decisions. - [tomholford/mcp-tic-tac-toe](https://github.com/tomholford/mcp-tic-tac-toe) 🏎️ 🏠 - Play Tic Tac Toe against an AI opponent using this MCP server. ### 🏠 Home Automation @@ -1295,7 +1295,7 @@ Tools for conducting research, surveys, interviews, and data collection. - [isnow890/naver-search-mcp](https://github.com/isnow890/naver-search-mcp) 📇 ☁️ - MCP server for Naver Search API integration, supporting blog, news, shopping search and DataLab analytics features. - [jae-jae/fetcher-mcp](https://github.com/jae-jae/fetcher-mcp) 📇 🏠 - MCP server for fetching web page content using Playwright headless browser, supporting Javascript rendering and intelligent content extraction, and outputting Markdown or HTML format. - [jae-jae/g-search-mcp](https://github.com/jae-jae/g-search-mcp) 📇 🏠 - A powerful MCP server for Google search that enables parallel searching with multiple keywords simultaneously. -- [jhomen368/overseerr-mcp](https://github.com/jhomen368/overseerr-mcp) [glama](https://glama.ai/mcp/servers/@jhomen368/overseerr-mcp) 📇 ☁️ 🏠 - Integrate AI assistants with Overseerr and the Seerr (the unified successor) for automated media discovery, requests, and management in Plex, Jellyfin, and Emby ecosystems. +- [jhomen368/overseerr-mcp](https://github.com/jhomen368/overseerr-mcp) [![overseerr-mcp MCP server](https://glama.ai/mcp/servers/@jhomen368/overseerr-mcp/badges/score.svg)](https://glama.ai/mcp/servers/@jhomen368/overseerr-mcp) 📇 ☁️ 🏠 - Integrate AI assistants with Overseerr and the Seerr (the unified successor) for automated media discovery, requests, and management in Plex, Jellyfin, and Emby ecosystems. - [joelio/stocky](https://github.com/joelio/stocky) 🐍 ☁️ 🏠 - An MCP server for searching and downloading royalty-free stock photography from Pexels and Unsplash. Features multi-provider search, rich metadata, pagination support, and async performance for AI assistants to find and access high-quality images. - [just-every/mcp-read-website-fast](https://github.com/just-every/mcp-read-website-fast) 📇 🏠 - Fast, token-efficient web content extraction for AI agents - converts websites to clean Markdown while preserving links. Features Mozilla Readability, smart caching, polite crawling with robots.txt support, and concurrent fetching. - [just-every/mcp-screenshot-website-fast](https://github.com/just-every/mcp-screenshot-website-fast) 📇 🏠 - Fast screenshot capture tool optimized for Claude Vision API. Automatically tiles full pages into 1072x1072 chunks for optimal AI processing with configurable viewports and wait strategies for dynamic content.