# mcp-sec-xbrl

> Use this tool when you need to query financial data from SEC filings using natural language, solving problems such as accessing specific financial information or analyzing company performance. It takes natural language queries as input and returns relevant financial data from SEC filings as output. This tool is ideal for use cases where quick and easy access to financial data is required, such as financial analysis or research.

Canonical page: https://skillsregistry.net/skills/pipeworx-io-mcp-sec-xbrl  
JSON: https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sec-xbrl

## Description

Wraps the SEC EDGAR XBRL API to query financial data from SEC filings via natural language.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/qomebhzij4)
- **Repository:** <https://github.com/pipeworx-io/mcp-sec-xbrl>

## 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": "pipeworx-io-mcp-sec-xbrl"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sec-xbrl` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/pipeworx-io-mcp-sec-xbrl/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