Canli Research MCP server
online · 100% uptimeCanli Capital's open research record: papers, killed candidates, trial counts, live record.
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Canli Research tools
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How Canli Research compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 89/100
- higher than 80% of 48,255 servers
- Uptime
- 100%
- of our recent checks; the typical remote server answers 100%
- Response time
- 167 ms
- faster than 70% of 30,031 servers
Release history: 3 versions in the registry since 2026-09-26, latest 2026-10-12, typically one every 10 days.
Install Canli Research in Claude Code, Cursor or VS Code
claude mcp add --transport http canli-research-mcp https://canlicapital.com/mcp/research
What the publisher says
From the Canli Research repository's README, as published. We do not edit it. Read it on GitHub
canlicapital.com
The public site for Canli Capital, and the surface where ALPHAC — a four-sleeve cross-asset quant book — publishes its record while it is still small enough to be embarrassing.
Created and maintained by Arhan Canli for Canli Capital. Development uses reviewed AI-assisted tooling, while project ownership, research decisions, published claims, and release responsibility remain with Arhan Canli. Machine-readable software citation metadata is provided in CITATION.cff.
The engine that produces every number here is open too: github.com/arhancanli/alphac.
Live: canlicapital.com
Build with it: get an API key, connect the MCP server, or contribute a reproducible improvement. If the project is useful, star the repository to help other developers find it.
Current work and verified limitations: persistent goal status.
Why this repo is public
The site's whole claim is "a quant fund proving itself in public before it asks you to trust it." — the tagline in config/brand.js. A site that makes that claim and hides its own source is asking for a trust it hasn't earned. So: this is the source, including the parts that enforce honesty on us.
The load-bearing one is docs/retractedclaims.txt in the engine repo. When a number is withdrawn it goes on a blocklist, and checkretractedclaims.py scans dist/ and public/ for it before each deploy. It cannot be satisfied by deleting the number — a retracted figure must still be quotable inside its own retraction*, so a match counts only when the explanation is absent from the surrounding window.
That check exists because the retraction here had already failed twice: a withdrawn DSR of 0.83 stayed on the homepage and in the social-unfurl card for six days after the signed chain formally withdrew it. The pipeline was publishing the correction and the error in the same run.
The gate is now fail-closed for publication. Since 2026-08-19, both livetick.sh and livepublish.sh run checkretractedclaims.py after regeneration and skip the deploy when it fails. Trading remains outside that blast radius: a publication defect can stop the website from shipping, but cannot place, cancel, or delay an order.
Publication surfaces
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Canli Research: common questions
- Is Canli Research MCP server safe?
- Yes, by our scan: it is graded A (89/100). Read the Canli Research safety report
- How do I install Canli Research?
- It runs remotely at canlicapital.com. Add it to Claude Code, Cursor, VS Code or Claude Desktop with the snippets above, or call it through the mcp.market gateway without installing anything.
- Does Canli Research need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Canli Research maintained?
- The last commit was 39 days ago (2026-09-26). The latest release is v0.3.0.
- Is Canli Research up?
- 100% of our last 28 checks got an answer. We check remote servers about four times a day.
- How does Canli Research compare with other MCP servers?
- safety score 89/100 (higher than 80% of 48,255 servers); uptime 100% (of our recent checks; the typical remote server answers 100%); response time 167 ms (faster than 70% of 30,031 servers). Full comparison.