Tickwind US Market Boards

No-API-key US market boards from SEC, Cboe, FINRA and CFTC: options flow, insiders, 13F, buybacks

Should I use this

Quality & Safety

B
Description quality
95%
Schema completeness
65%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~932Tokens (tool definitions)
~276 BTypical response size
Moderate attention impact (0.73% of 128k context)

This is the approximate number of tokens consumed each time the server's tools are loaded into a model's context. Higher counts reduce the attention available for other tasks.

Install

One-Click Install

Add this to your `claude_desktop_config.json` file:

{
  "mcpServers": {
    "tickwind": {
      "url": "https://api.tickwind.com/mcp"
    }
  }
}

Remote endpoints

https://api.tickwind.com/mcpstreamable-http

What it can do

Tool inventory

Tools (8)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢buyback_leaders(view)

US companies ranked by what they do to their own share count. view=cannibals ranks the largest latest-fiscal-year repurchase as a share of market cap; view=diluters ranks the fastest 1-year share-count growth. Source: company filings. The buyback figure is cash spent on repurchases as reported, NOT net of new issuance. Values: cannibals, diluters.

Input Schema

{
  "type": "object",
  "properties": {
    "view": {
      "description": "which leaderboard to read",
      "enum": [
        "cannibals",
        "diluters"
      ],
      "type": "string"
    }
  },
  "required": [
    "view"
  ]
}
🟢congress_trades

Recently DISCLOSED stock trades by members of the US Congress, newest transaction first. Source: House and Senate periodic transaction reports, which may be filed up to 45 days after the trade — the newest disclosure is not the newest trade. Members disclose dollar amounts as ranges, never exact figures.

Input Schema

{
  "type": "object",
  "properties": {}
}
🟢dca_rating(ticker)

A rules-based 0-100 read of how well one US stock fits scheduled recurring buying (dollar-cost averaging), computed from its disclosed filings and daily bars. Structural description only: it is not a recommendation, not a price target, and not investment advice.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "description": "US exchange ticker symbol, e.g. AAPL",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢insider_clusters

US small caps where SEVERAL DISTINCT company insiders each bought their own stock on the open market in the last 30 days, ranked by number of buyers then dollar value. Source: SEC Form 4, open-market purchases only — grants and option exercises are excluded. Scanned over a $300M-$2.5B market-cap band, not the whole market.

Input Schema

{
  "type": "object",
  "properties": {}
}
🟢institutional_13f

Which US stocks the tracked superinvestor funds added or opened last quarter, alongside how many trimmed or exited. Source: SEC form 13F, which reports LONG US equity positions as of a quarter end and is filed up to 45 days after it — these are historical positions, not current trades, and short positions, bonds and non-US holdings never appear in them.

Input Schema

{
  "type": "object",
  "properties": {}
}
🟢key_levels(ticker)

Historical support and resistance price bands for one US stock, clustered from its daily bars (swing highs and lows plus volume shelves), with the nearest band above and below the latest close and how far away each sits. It describes where price HAS turned before and never forecasts whether a level will hold.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "description": "US exchange ticker symbol, e.g. AAPL",
      "type": "string"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢risk_filings(kind)

Recent SEC filings whose text MENTIONS a specific risk phrase, per EDGAR's full-text index. A mention is not a finding — the phrase also matches negations like "no material weakness". Values: going-concern, material-weakness, cyber-incident.

Input Schema

{
  "type": "object",
  "properties": {
    "kind": {
      "description": "which saved risk query to run",
      "enum": [
        "going-concern",
        "material-weakness",
        "cyber-incident"
      ],
      "type": "string"
    }
  },
  "required": [
    "kind"
  ]
}
🟢unusual_options

Today's most-traded US single-stock option contracts by volume, with each contract's volume-to-open-interest ratio. Source: Cboe, ~15-minute delayed. Ranked within a fixed scan set, not the whole market.

Input Schema

{
  "type": "object",
  "properties": {}
}

Community

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Evidence

Recent observations

verifiedversion not recorded8 tools
verifiedversion not recorded8 tools