# hub-equity-mcp

> hub-equity-mcp — hub-equity-hub-equity-mcp. Use this tool when you need to standardize and query XBRL financial data from US SEC and European ESEF filings. It solves the problem of inconsistent financial data formats by normalizing facts like revenue and total assets, enabling comparison across issuers and taxonomies. The tool takes in XBRL filings and outputs normalized financial data, making it ideal for LLM agents requiring unified financial information.

Canonical page: https://skillsregistry.net/skills/hub-equity-hub-equity-mcp  
JSON: https://api.skillsregistry.net/v1/skills/hub-equity-hub-equity-mcp

## Description

Standardizes XBRL financial data from US SEC and European ESEF filings for LLM agents, enabling querying normalized financial facts like revenue and total assets across issuers and taxonomies.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-08-29

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-29

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/lfl82cffo7)
- **Repository:** <https://github.com/Hub-Equity/hub-equity-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": "hub-equity-hub-equity-mcp"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/hub-equity-hub-equity-mcp` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/hub-equity-hub-equity-mcp/pull`

---
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