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KoalCheck MCP server

Which MCP servers are KoalCheck's own, from the official registry and from asking its own domain, whether they answer, and what they offer. A program checked each of these, nobody copied them from a product page.

read 2026-10-24

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Whose server it is
  • Registry namecom.koalcheck/koalcheckverified in the MCP registry

The registry name sits under koalcheck.com. The registry only lets a publisher use that namespace after proving control of the domain through DNS or HTTP.

When we asked itchecked 2026-10-24
  • Stateanswerschecked 2026-10-24
  • Tools22
  • Server calls itselfstock-picker
  • Server version4.0.5
  • Protocol version2025-06-18

On 2026-10-24 the server answered initialize and tools/list without a sign-in. First answer in 474 ms.

Should an agent connect itNot proven either way yet
  • Whether its tools do the product's job has not been judged yet.
  • Checked on 3 of the 7 days it takes to judge reliability.

Once connected

  • For "check whether a stock blogger's past calls beat SPY", the likely first call is analyst_track_record.
  • Parameters are untyped or undescribed in 20 of 22 tools: check arguments before calling.

Said by rules from the measurements above. The likely first call is a model's pick from the tool list; read its description before relying on it.

Measured dailydaily checks: 3, the first on 2026-10-24
  • INITE MCP scoreafter a weeka score needs 7 daily checks: 3 so far
  • Answeredmeasuring3 of the 7 daily checks it takes to print a share
  • Median first answer483 ms
  • Space in an agent's context≈ 3,261 tokensthe definitions of all its tools (22), which an agent carries on every turn
  • Tool definitionsC · 68 of 100
  • Typed results22 of 22 toolsdeclared outputSchema: results come typed, read once
  • Parameters without a description: in 20 of 22
  • Not saying whether it only reads or can destroy: 22 of 22

What an agent can do with it

  • can do · check whether a stock blogger's past calls beat SPY
  • not sure · compare bullish and bearish call volume across tickers
  • not sure · connect an AI assistant to KoalCheck data via MCP

Each of the product's use cases, put to Jev against this server's tool list: can an agent do it with these tools?

Worth a look

None of the five warning signs in these definitions.

A program checks the server once a day: initialize and tools/list, no model. Tokens are the definitions' length at about four characters a token. The grade averages six checks of every tool's name, description, schema and annotations; it says how well the tools are described, not whether they work. The score weighs what was measured and nothing else: answering (25%), doing the product's job (25%), definitions (20%), context (10%), use (10%) and how readily a client connects (10%). A part that was not measured is left out, and a hidden instruction caps the score at 40. The state of vendors' MCP servers: method and numbers →

Tools it offers22 tools · read 2026-10-24
  • analyst_views

    ★ 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…

  • analyst_debate

    ★ 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…

  • search_x

    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.

  • ticker_social_sentiment

    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.

  • stocktwits_symbol

    Recent StockTwits posts for a ticker with author-tagged bull/bear labels.

  • trending_tickers

    Tickers currently trending on StockTwits (a retail-attention radar).

  • reddit_attention

    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

    ★ 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)…

  • screen_stocks

    ★ 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…

  • material_events

    ★ 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…

  • short_volume

    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.

  • fundamentals

    ★ 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…

  • insider_activity

    ★ 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…

  • wsb_trending

    Most-mentioned tickers on r/wallstreetbets right now (retail-attention radar, via ApeWisdom).

  • analyst_profile

    ★ 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…

  • analyst_track_record

    ★ 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…

  • analyst_recent_calls

    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…

  • ticker_call_history

    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.

  • tweet_store_stats

    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…

  • quote

    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…

  • leaderboard

    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…

  • my_account

    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…

How to connect

Add the server to your MCP client config. Claude Desktop, Cursor and most other clients read this shape:

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

Add it

Claude Code, in a terminal

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

Add to CursorAdd to VS Code

claude.ai, ChatGPT and other clients: add https://mcp.koalcheck.com/mcp as a custom connector in the settings.

Each line is something a program found when it went looking: the registry entry, the server's own answer, a spec that parses. A missing line means we did not find it, not that it does not exist.