# CyberQuant MCP Server

> Use this tool when you need to efficiently analyze financial data, as it enables AI assistants to directly query and retrieve data in CSV output format, solving problems of data accessibility and token efficiency in financial analysis. It allows for seamless integration with AI systems, providing a streamlined interface for data sharing and analysis. Ideal for use cases requiring rapid financial data insights and automated decision-making.

Canonical page: https://skillsregistry.net/skills/slb-cn-cyberquant-mcp  
JSON: https://api.skillsregistry.net/v1/skills/slb-cn-cyberquant-mcp

## Description

MCP server for CyberQuant data sharing platform that enables AI assistants to directly query and analyze financial data using CSV output for token efficiency.

## Trust

- **Trust score (0–1):** 0.68
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/j6kvdk6rz4)
- **Repository:** <https://github.com/slb-cn/cyberquant-mcp>

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "slb-cn-cyberquant-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slb-cn-cyberquant-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slb-cn-cyberquant-mcp/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt