OpenQFR
Search machine-readable quantitative strategy failure evidence before repeating failed research.
Should I use this
Quality & Safety
B
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-httpWhat 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
Evidence
Recent observations
verifiedversion not recorded3 tools