glim-mcp

type	Skill
mode	read-only
name	Glim MCP
category	basics
description	Live-data research via the glim.sh MCP - web search, full page extraction, X/Twitter, Reddit, GitHub, Amazon, and YouTube transcripts - synthesized into a cited digest. Pay-per-call from the connected account balance; OAuth Connect via the dashboard MCP panel.
var
tags	["research","data","mcp"]
mcp	["glim"]
capabilities	["external_api","sends_notifications"]

${var} — the research question or task, e.g. what are people saying about MCP servers this week or pull the top HN + Reddit takes on <topic>. Append --deep for a wider sweep. Required. If empty, log GLIM_NO_QUERY and exit cleanly (no notify).

Answer one research question with live data through the glim.sh MCP server (glim.sh/mcp): web search, full-page extraction, and platform-native access to X/Twitter, Reddit, GitHub, Amazon, and YouTube transcripts. Every call draws from the operator's prepaid glim balance — spend is real, so the sweep is bounded.

Detection & auth

The server is wired by the dashboard MCP panel's one-click Connect (OAuth with offline_access; tokens stored as MCP_GLIM_TOKEN + MCP_GLIM_OAUTH, refreshed each run by scripts/mcp-oauth-refresh.sh). Its tools surface as mcp__glim__* — discover them from the server; the tool descriptions are the source of truth, don't assume a fixed list.

• No mcp__glim__* tool callable → the server isn't connected (or its secrets are missing, in which case the workflow logged a ::warning:: and skipped MCP). Log GLIM_NOT_CONNECTED, notify once pointing the operator at the dashboard → MCP → Connect glim.sh, and exit.
• Tools exist but return 401/invalid-token → the OAuth refresh failed (see docs/mcp-oauth.md). Log GLIM_AUTH_STALE, notify the operator to re-connect the server once in the dashboard, and exit.
• Payment-required / insufficient-balance errors → log GLIM_NO_BALANCE, notify the operator to top up their glim account, and exit with whatever partial results already came back (clearly marked partial).

Steps

1. Plan the sweep

Parse ${var} into 2–4 sub-questions and pick the glim tools that fit each — platform tools (X, Reddit, GitHub, YouTube, Amazon) when the question names a platform or the answer obviously lives there; web search + page extraction otherwise. Don't fan out for its own sake: a question one search answers gets one search.

Spend budget: ≤ 10 tool calls per run, ≤ 25 with --deep. Count as you go; when the budget is spent, synthesize from what's in hand rather than making "one more" call. This is a hard cap (STRATEGY: stay within configured spend limits).