Add Glama score badge to skim402 entry

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JessieJanie
2026-06-08 21:57:44 -07:00
parent 3a78b97ad6
commit f7609d24e8
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@@ -2288,7 +2288,7 @@ 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. - [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/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. - [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.
- [JessieJanie/skim402](https://github.com/JessieJanie/skim402) 📇 ☁️ - Convert any URL into clean, agent-ready Markdown with structured metadata (title, byline, published date, language). Pay-per-use via x402 (USDC on Base) — no signup, no API keys. Single tool `read_url`. Install via `npx -y skim-mcp`. - [JessieJanie/skim402](https://github.com/JessieJanie/skim402) [![skim402 MCP server](https://glama.ai/mcp/servers/JessieJanie/skim402/badges/score.svg)](https://glama.ai/mcp/servers/JessieJanie/skim402) 📇 ☁️ - Convert any URL into clean, agent-ready Markdown with structured metadata (title, byline, published date, language). Pay-per-use via x402 (USDC on Base) — no signup, no API keys. Single tool `read_url`. Install via `npx -y skim-mcp`.
- [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. - [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. - [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-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.