catalyst-edge-mcp

Audited SEC catalyst signals for agents — ranked filing intel with a public track record.

Should I use this

Quality & Safety

A
Description quality
86%
Schema completeness
86%
Naming quality
100%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Findings (2)

  • LOWTool 'get_ticker_signal' description lacks action verbin get_ticker_signal
  • LOWTool 'get_price_forecast' description lacks action verbin get_price_forecast

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~557Tokens (tool definitions)
~432 BTypical response size
Minimal attention impact (0.44% 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": {
    "catalyst-edge-mcp": {
      "url": "https://catalystedgescanner.com/mcp/"
    }
  }
}

Remote endpoints

https://catalystedgescanner.com/mcp/streamable-http

What it can do

Tool inventory

Tools (7)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢get_convergence_picks(conviction, sector, limit)

Today's top scored catalyst picks from the Catalyst Edge convergence model. Optional filters: conviction, sector. Free tier returns the top 3.

Input Schema

{
  "type": "object",
  "properties": {
    "conviction": {
      "type": "string",
      "enum": [
        "MAXIMUM",
        "HIGH",
        "ELEVATED",
        "WATCH"
      ],
      "description": "filter by conviction level"
    },
    "sector": {
      "type": "string",
      "description": "filter by sector (substring match)"
    },
    "limit": {
      "type": "integer",
      "description": "max picks (default 25; free tier capped at 3)"
    }
  }
}
🟢get_ticker_signal(ticker)

Full convergence breakdown for one ticker — every non-zero signal layer and its points, plus the score and conviction.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_thesis(ticker)

Plain-language thesis for a ticker — quantitative read, catalysts, risks, bear case. Covers the top convergence picks.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_price_forecast(ticker, limit)

Kronos price forecast for a ticker (or the whole scored board), as a probability: p_up is the share of sampled price paths closing higher over the horizon, with a p10-p90 return band. Price history only — independent of the catalyst signal layers.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "ticker symbol; omit for the full board"
    },
    "limit": {
      "type": "integer",
      "description": "max rows when no ticker is given (default 25)"
    }
  }
}
🟢get_sector_lean

Orphan-aggregated sector lean — the directional signal each sector is showing, from ~480 aggregated data spokes.

Input Schema

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

Live options context for a ticker via Tradier — nearest expiration, ATM call/put prices, straddle cost. Use to choose an options strategy.

Input Schema

{
  "type": "object",
  "properties": {
    "ticker": {
      "type": "string",
      "description": "ticker symbol"
    }
  },
  "required": [
    "ticker"
  ]
}
🟢get_track_record(list_name)

Historical hit-rate and alpha of Catalyst Edge pick lists — the evidence an agent uses to weight the signal. Optional: list_name filter.

Input Schema

{
  "type": "object",
  "properties": {
    "list_name": {
      "type": "string",
      "description": "filter to one pick list (substring match)"
    }
  }
}

Community

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Evidence

Recent observations

verifiedversion not recorded7 tools
verifiedversion not recorded7 tools
verifiedversion not recorded6 tools