OpenQFR

Search machine-readable quantitative strategy failure evidence before repeating failed research.

Should I use this

Quality & Safety

B
Description quality
100%
Schema completeness
60%
Naming quality
80%
Poisoning risk
100%
Permission match
100%
Protocol compliance
100%

Based on automated analysis of tool definitions and protocol compliance.

Context Cost

~196Tokens (tool definitions)
~458 BTypical response size
Minimal attention impact (0.15% 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": {
    "openqfr": {
      "url": "https://openqfr.dev/mcp"
    }
  }
}

Remote endpoints

https://openqfr.dev/mcpstreamable-http

What it can do

Tool inventory

Tools (3)

🟢 Read-only🟡 Write🔴 Delete⚪ Unknown
🟢qfr_search(failure_code, generation, limit, symbol)

Search public quantitative strategy failure evidence before running a similar backtest.

Input Schema

{
  "type": "object",
  "properties": {
    "failure_code": {
      "maxLength": 64,
      "type": "string"
    },
    "generation": {
      "maxLength": 64,
      "type": "string"
    },
    "limit": {
      "maximum": 20,
      "minimum": 1,
      "type": "integer"
    },
    "symbol": {
      "maxLength": 32,
      "type": "string"
    }
  },
  "additionalProperties": false
}
🟢qfr_get(record_id)

Retrieve one public QFR record by record ID.

Input Schema

{
  "type": "object",
  "properties": {
    "record_id": {
      "pattern": "^qfr:[0-9a-f]{24}$",
      "type": "string"
    }
  },
  "required": [
    "record_id"
  ],
  "additionalProperties": false
}
⚪qfr_stats

Return public record counts and the QFR schema version.

Input Schema

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

Community

Rate this Server

Evidence

Recent observations

verifiedversion not recorded3 tools