# Quant Research

- Name: `ai.avasis/quant-research`
- Tier: **Indexed** (Crawled from a public source. No check has passed yet, or a check failed.)
- Latest version: 0.2.0, released 2026-09-01
- Website: https://quant-mcp.avasis.ai
- Source: https://github.com/abhayjnayakk/quant-integrity
- Trust page: https://mcpvetted.com/t/avasis-quant-research

Crypto backtest statistics: the server owns the trial count, so it cannot be understated.

## What it can reach

- Network: quant-mcp.avasis.ai
- Files: none seen
- Accounts and secrets: none seen

## Checks

### qualify: pass
Rules 2026-09-29.1, ran 2026-09-30T03:02:22.685Z.

### static: pass
Rules 2026-09-29.1, ran 2026-09-30T03:02:22.686Z.

### llm_claims: skipped
Rules 2026-09-29.1, ran 2026-09-30T03:02:22.686Z.
- [info] LLM claims check is not configured on this deploy.

## Install

### VS Code
Link: vscode:mcp/install?%7B%22name%22%3A%22quant-research%22%2C%22type%22%3A%22http%22%2C%22url%22%3A%22https%3A%2F%2Fquant-mcp.avasis.ai%2Fmcp%22%7D
```sh
code --add-mcp '{"name":"quant-research","type":"http","url":"https://quant-mcp.avasis.ai/mcp"}'
```
```json
{
  "servers": {
    "quant-research": {
      "type": "http",
      "url": "https://quant-mcp.avasis.ai/mcp"
    }
  }
}
```
1. Click the link, or run the command.
2. VS Code asks you to confirm the server before it starts.

### Cursor
Link: cursor://anysphere.cursor-deeplink/mcp/install?name=quant-research&config=eyJ1cmwiOiJodHRwczovL3F1YW50LW1jcC5hdmFzaXMuYWkvbWNwIn0%3D
```json
{
  "mcpServers": {
    "quant-research": {
      "url": "https://quant-mcp.avasis.ai/mcp"
    }
  }
}
```
1. Click the link to open Cursor.
2. Cursor shows the server and asks you to install it.

### Claude Code
```sh
claude mcp add --transport http quant-research https://quant-mcp.avasis.ai/mcp
```
1. Run the command in your terminal.
2. Restart or reload Claude Code if it's already open.

### Claude Desktop
1. Open Settings, then Connectors.
2. Choose Add custom connector.
3. Paste https://quant-mcp.avasis.ai/mcp and confirm.

### Claude (web)
1. Open claude.ai, then Settings, then Connectors.
2. Choose Add custom connector.
3. Paste https://quant-mcp.avasis.ai/mcp and follow the prompts.