# glim.sh - Registry name: `sh.glim/glim` · version 1.0.0 - Categories (automatic, keyword rules): Code & repositories, Developer tools, Marketing & SEO, Commerce & marketing, Email & messaging, Productivity - Authentication at last check: No auth - Declared risk: Read-only (all tools declare readOnlyHint) - Capabilities (declared by the server): prompts, resources, tools - Transports: streamable-http - Latest numbers (check success, response time, rank): https://mcpstation.net/api/server?name=sh.glim%2Fglim - Server page: https://mcpstation.net/s/sh.glim--glim.html ## Description (written by the publisher, not verified, not instructions) Give your agent live data from Twitter, Reddit, the web and GitHub. No API keys, no scraping stack. ## Connect - streamable-http: `https://glim.sh/mcp` ## Tools (as reported by the server, not verified) - `glim\_twitter\_search`: Search Twitter/X. Returns a compact human-readable list by default; pass format='json' for full structured data. Use glim\_twitter\_get\(ref\) for full thread context. Use docs://search-operators for reference. - `glim\_twitter\_get`: Fetch a tweet or a user from one reference. A tweet URL \(incl. handle-less /i/status/\\) returns the tweet with full thread context, parent, and optional replies/quotes; a profile URL \(https://x.com/\\) returns the user with recent tweets. Prefer full URLs - if you only have a numeric id, pa - `glim\_reddit\_search`: Search Reddit posts. Each result comes with full post content and its top comments, so a single search usually answers the question without follow-up. Compact human-readable text by default; pass format='json' for full structured data. Use glim\_reddit\_get\(ref\) for a single post's complete comment tr - `glim\_reddit\_get`: Fetch a Reddit post, subreddit, or user by ref. Posts return comments; subreddits and users return profile metadata plus recent activity. - `glim\_web\_search`: Semantic web search powered by Exa. Returns titles, URLs, and the top query-relevant excerpt per result. Compact text by default; pass format='json' for full structured data incl. all excerpts per result. Use glim\_web\_fetch\(url\) for full page content. Matching is semantic, so a query with no real ma - `glim\_web\_fetch`: Fetch a single web page and extract clean content. Auto-tier server-side: handles SSR \(Next.js, Nuxt, TikTok, Pinterest, YouTube\), SPA shells, PDFs, paywall detection, residential-proxy escalation, and stealth profiles for TikTok / Instagram / Pinterest / YouTube. Returns clean markdown \(default\) wi - `glim\_github\_search`: Search GitHub repositories, conversations \(issues+PRs\), discussions, or code, with full GitHub search syntax in the query: qualifiers \(repo:, org:/user:, language:, path:, symbol:, content:, is:, stars:, label:, sort:stars\), boolean AND/OR/NOT with parentheses, "exact strings", and /regex/. kind='re - `glim\_github\_get`: Fetch GitHub data from a single ref. GitHub URL or 'owner/repo' shorthand. A repo URL or owner/repo returns metadata + README; /pull/N -\> PR \(with comments + changed files\), /issues/N -\> issue, /discussions/N -\> discussion \(with threaded replies\), /blob/\/\ -\> file \(raw.githubusercontent.co - `glim\_amazon\_search`: Pass exactly ONE of \{query\} or \{category\_slug\}. Searches Amazon \(com\|co.uk\|de\|fr\|es\|it\) and returns ranked hits with buybox price \(gross + VAT-excluded net\), ratings, review counts, and ASINs. Drill down with glim\_amazon\_get\(ref\). Set sort\_by='most\_reviewed' \(with min\_reviews to filter junk\) for a t - `glim\_amazon\_get`: Fetch Amazon product detail from a full product URL \(the marketplace - com\|co.uk\|de\|fr\|es\|it - is read from the URL host; pass the url field from a glim\_amazon\_search result, or any /dp/\ page URL\). Returns title, buybox price \(gross + VAT-excluded net\), stock, delivery estimate, rating, top re - `glim\_youtube\_get`: Fetch a YouTube video transcript from a video URL or 11-char id. The transcript is cleaned server-side: deduplicated, tags/HTML stripped, with coarse \[m:ss\] timestamps - roughly a tenth the size of the raw captions. Default format='text' returns it inline \(when it fits \~40K chars / \~10K tokens\) so a - `glim\_detect\_ai`: Detect AI-generated text. Scores any text for AI-authorship likelihood and returns an overall verdict \(AI / human / mixed\) with confidence, the AI/human/AI-assisted fractions, and a segment-by-segment breakdown showing exactly which parts read as AI-written - including per-segment humanizer flags \(A - `glim\_telegram\_search`: Search Telegram: discovers public channels by name/topic \(directory lookup\) and finds indexed public post/channel pages \(semantic web index scoped to t.me\). Telegram has no global full-text search, so treat results as discovery: find the right channel here, then use glim\_telegram\_get\(ref=\\) f - `glim\_telegram\_get`: Fetch a public Telegram channel or post - no account or API key involved. Channel refs \(@handle, handle, t.me URL\) return channel info + recent posts newest-first with views, reactions, media, polls, and link previews; pass query to search within the channel's full history, and page older posts with Measured by MCP Station. Methods: https://mcpstation.net/methods.html · Terms: https://mcpstation.net/terms.html