Server data from the Official MCP Registry
Search machine-readable quantitative strategy failure evidence before repeating failed research.
About
Search machine-readable quantitative strategy failure evidence before repeating failed research.
Remote endpoints: streamable-http: https://openqfr.dev/mcp
Security Report
Valid MCP server (1 strong, 0 medium validity signals). No known CVEs in dependencies. Imported from the Official MCP Registry. 1 finding(s) downgraded by scanner intelligence.
3 tools verified · Open access · 1 issue found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Connect
Remote Plugin
No local installation needed. Your AI client connects to the remote endpoint directly.
Add this to your MCP configuration to connect:
{
"mcpServers": {
"io-github-openqfr-dev-openqfr": {
"url": "https://openqfr.dev/mcp"
}
}
}Documentation
View on GitHubFrom the project's GitHub README.
OpenQFR
OpenQFR is a machine-readable library of failed quantitative strategy evidence. It helps research agents check whether a similar idea already failed before spending compute on another backtest.
QFR records are negative evidence, not investment advice. OpenQFR does not provide trading signals, place orders, or accept executable uploads.
Live endpoints
- REST API:
https://openqfr.dev/api/v1 - QFR records:
https://openqfr.dev/api/v1/failures - Schema:
https://openqfr.dev/schema/qfr/0.1.0 - Next-version schema draft:
https://openqfr.dev/schema/qfr/0.2.0-draft - A2A Agent Card:
https://openqfr.dev/.well-known/agent-card.json - A2A endpoint:
https://openqfr.dev/a2a/v1/message:send
Five-minute REST example
curl -s 'https://openqfr.dev/api/v1/failures?symbol=BTCUSDT&limit=3'
from urllib.parse import urlencode
from urllib.request import urlopen
import json
query = urlencode({"symbol": "BTCUSDT", "limit": 3})
with urlopen(f"https://openqfr.dev/api/v1/failures?{query}") as response:
failures = json.load(response)
print(failures["total"])
A2A example
curl -s https://openqfr.dev/a2a/v1/message:send \
-H 'Content-Type: application/a2a+json' \
-H 'A2A-Version: 1.0' \
--data '{"message":{"messageId":"demo-1","role":"ROLE_USER","parts":[{"data":{"operation":"search","symbol":"BTCUSDT"}}]}}'
Supported operations are search, get, and stats.
MCP
The public, stateless Streamable HTTP endpoint is:
https://openqfr.dev/mcp
It exposes read-only qfr_search, qfr_get, and qfr_stats tools. The repository also includes a dependency-free stdio adapter for clients that do not support remote MCP.
python3 mcp_server.py
Example client configuration:
{
"mcpServers": {
"openqfr": {
"command": "python3",
"args": ["/absolute/path/to/openqfr/mcp_server.py"]
}
}
}
Submission safety
Submission headers and review rules are documented in SUBMISSIONS.md.
Signed submissions are quarantined for review. They must conform to QFR 0.1.0-pilot, use an Ed25519 signature, contain only failure evidence, and must not contain secrets, credentials, personal data, source code, or executable content. Public records are read-only.
Project status
This is an early pilot seeded with 100 BTCUSDT quantitative failure records. The schema may change before 1.0. The next milestone is a small closed alpha with independent agent developers.
Reviews
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