# Quant Framework MCP Server

> Use this tool when you need to perform complex financial modelling, data retrieval, and autonomous research loops. It solves problems related to quantitative research and financial data analysis by providing an extensible framework with built-in guardrails and pluggable components. The Quant Framework MCP Server takes in financial data inputs and outputs research results, enabling users to make informed decisions with accurate and reliable data.

Canonical page: https://skillsregistry.net/skills/epsom700-quant-framework  
JSON: https://api.skillsregistry.net/v1/skills/epsom700-quant-framework

## Description

An extensible framework that exposes quantitative research functions and financial data connectors, such as FRED, via an MCP server. It enables users to perform complex financial modelling, data retrieval, and autonomous research loops with built-in guardrails and pluggable components.

## Trust

- **Trust score (0–1):** 0.80
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iuxygd2hmw)
- **Repository:** <https://github.com/Epsom700/quant_framework>

## 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": "epsom700-quant-framework"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/epsom700-quant-framework` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/epsom700-quant-framework/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
