MCP server

Koalcheck Official

com.koalcheck/koalcheck

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

TipRanks for X finfluencers — scores who's actually right vs SPY. Free & anonymous, no key.

Website

At a glance

Type

MCP server

Publisher

koalcheck.com (verified by the MCP Registry)

Status

Working at last check

Tools

22

Token cost

About 3,731 tokens per request

Sets up in

Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok

Last checked

26 Oct 2026, 08:29 UTC

Connect it to your agent

Add to CursorAdd to VS CodeVS Code Insiders

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http koalcheck https://mcp.koalcheck.com/mcp

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.koalcheck]
url = "https://mcp.koalcheck.com/mcp"

Gemini CLI

{"mcpServers":{"koalcheck":{"httpUrl":"https://mcp.koalcheck.com/mcp"}}}

Cursor

{"mcpServers":{"koalcheck":{"url":"https://mcp.koalcheck.com/mcp"}}}

VS Code

{"servers":{"koalcheck":{"type":"http","url":"https://mcp.koalcheck.com/mcp"}}}

Antigravity

agy mcp add koalcheck https://mcp.koalcheck.com/mcp

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"koalcheck","server_url":"https://mcp.koalcheck.com/mcp","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"koalcheck","server_url":"https://mcp.koalcheck.com/mcp"}

Tools

• analyst_debate ~194 tokens
  ★ CORE. Compare several analysts' takes on ONE ticker and surface the clash. Groups the named analysts into bull / bear / neutral camps and returns their points so you can construct each side's case (paraphrased), then judge whether BOTH opposing views are internally reasonable, what evidence would
• analyst_profile ~195 tokens
  ★ ANTI-IMPOSTOR. Is this account the REAL, credible analyst — or a copycat? Returns the account's authenticity signals (verified, followers, account age, post count) and a credibility score (0-100) + label (high/medium/low-possible- impostor), plus its PERMANENT account id and any same-name account
• analyst_recent_calls ~240 tokens
  What has this analyst called LATELY? Their most-recent STORED calls — ticker + direction (bullish/bearish) + date + a link to the original post (and a short snippet of it). PURE READ of already-stored data (no live fetch, no X cost): this is 'their recent views as we recorded them', distinct from an
• analyst_track_record ~278 tokens
  ★ MOAT (Pro). How ACCURATE has this analyst been? Scores their past calls against what the stock actually did vs the market (SPY). Resolves the @handle to the analyst's permanent account id (rename-proof), extracts scorable calls from stored tweets, evaluates each against historical prices at 1/5/2
• analyst_views ~220 tokens
  ★ CORE. Fetch the recent views of specific X analysts/KOLs by handle. The user names the analysts they follow (e.g. ["DeItaone", "unusual_whales"]). Optionally focus on one `ticker`. Returns, per analyst: overall stance, which tickers they're talking about, and their recent points. Present this to
• fundamentals ~156 tokens
  ★ SEC fundamentals — is the company actually growing & profitable? Latest annual revenue + YoY growth, net income, net/gross margin from SEC XBRL (keyless, point-in-time by filing date). Use it to check whether an analyst's 'accelerating growth' narrative matches the reported numbers. FREE. Not adv
• insider_activity ~173 tokens
  ★ SEC Form 4 — are company INSIDERS buying or selling this ticker? Open-market purchases/sales by officers, directors, and 10% owners (Section 16), point-in-time and KEYLESS from SEC EDGAR. Corroborates an analyst's view: "analyst bullish AND insiders buying" = high conviction; "analyst bullish BUT
• leaderboard ~276 tokens
  The honest track-record leaderboard — who has ACTUALLY been right (priced vs SPY). Reads the daily honest board (21d hit-rate, Wilson 95% CI, bull/bear split, cross-regime flag, point-in-time vs SPY). `view`: • 'proven' — PROVEN tier (Wilson-CI lower bound > 0.5 + cross-regime); the trust c
• material_events ~152 tokens
  ★ SEC 8-K — recent MATERIAL EVENTS (earnings, exec changes, M&A, restatements). Catalysts that should move or confirm an analyst's thesis, point-in-time by filing date. Item codes are mapped to plain language (2.02=earnings, 5.02=exec change, 4.02=restatement red flag, 7.01=guidance…). Free, keyles
• my_account ~165 tokens
  YOUR membership tier + today's live-fetch quota for THIS connection. Tells you the plan you're authenticated as (free / pro), how many of today's shared live-fetch pulls you've used (real-time search / view refresh / debate / x-sentiment all draw from one daily pool), and that DB-read tools are unc
• quote ~182 tokens
  Live price + volume + turnover (换手率) + market cap + basic valuation for a ticker. Returns last price & % change, day open/high/low, volume + 10-day avg volume, turnover_pct (换手率 = volume ÷ shares outstanding), market cap, 52-week range, and best-effort trailing/forward P/E + P/S + sector. Intraday
• reddit_attention ~111 tokens
  WSB retail-attention for a ticker: mention count, rank, and 24h momentum. Backed by ApeWisdom (reliable). A sharp jump in mentions/rank = a retail- attention spike — often a contrarian/risk flag, not a buy signal.
• score_ticker ~269 tokens
  ★ COMPOSITE (Pro). One signed score (−100 bearish … +100 bullish) that blends the analysts who called this ticker — each vote WEIGHTED BY THEIR TRACK RECORD (the moat) — with SEC insider buying/selling and free retail (StockTwits) sentiment. Shows a transparent per-component breakdown + coverage +
• screen_stocks ~265 tokens
  ★ SCREENER (Pro). Rank a universe of tickers by the composite score. source: 'analysts' (tickers your followed analysts have called — ranked by who's been RIGHT) | 'trending' (StockTwits + WSB retail-hot tickers) | or pass an explicit `universe=[...]`. mode: 'bullish' (highest composite first — mul
• search_x ~140 tokens
  Search X with full operators (e.g. '$AAPL lang:en -is:retweet', 'from:handle'). General-purpose X search with sentiment scoring; use `analyst_views` when the user cares about specific accounts. Summarize results; don't echo tweets verbatim.
• short_volume ~127 tokens
  SEC/FINRA short-sale VOLUME % for a ticker (last few trading days). Heavy short volume = selling pressure or a squeeze setup (direction-ambiguous). This is daily short VOLUME (flow), NOT short INTEREST (outstanding). Free. Not advice.
• stocktwits_symbol ~82 tokens
  Recent StockTwits posts for a ticker with author-tagged bull/bear labels.
• ticker_call_history ~114 tokens
  Which analysts called this ticker, and were they right? Lists stored calls on the ticker with each call's benchmark-adjusted outcome at the given horizon. Analytics, not advice.
• ticker_social_sentiment ~144 tokens
  Blended retail sentiment for a ticker across X, StockTwits, and Reddit. Use this to corroborate (or challenge) an analyst's view with the broader crowd. `sources` defaults to all three.
• trending_tickers ~66 tokens
  Tickers currently trending on StockTwits (a retail-attention radar).
• tweet_store_stats Sends messages · ~110 tokens
  Stats on the persisted tweet database (the durable, queryable record). Every analyst tweet fetched is stored with timestamp, tickers, sentiment, and media (image/video URLs). This is the backing data for provenance and for the analyst track-record features.
• wsb_trending ~72 tokens
  Most-mentioned tickers on r/wallstreetbets right now (retail-attention radar, via ApeWisdom).

Browse

• Website monitoring
• Social media
• Notes and wikis
• News

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