# FilingFirehose

> Use this tool when you need to analyze and extract insights from SEC EDGAR filings, such as classifying 8-K body text, identifying 13D activist tags, and detecting S-3 ATM filings. It solves problems related to financial data analysis, regulatory compliance, and investment research by providing parsed and tagged data. The tool takes SEC EDGAR filings as input and outputs classified and tagged data for further analysis and decision-making.

Canonical page: https://skillsregistry.net/skills/com-filingfirehose-firehose  
JSON: https://api.skillsregistry.net/v1/skills/com-filingfirehose-firehose

## Description

SEC EDGAR filings parsed: 8-K body-text classification, 13D activist tagging, S-3 ATM detection.

## Trust

- **Trust score (0–1):** 0.82
- **Verification tier:** verified
- **Last scanned:** 2026-09-02

## Facts

- **Version:** 0.1.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-09-02

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/com.filingfirehose%2Ffirehose)
- **Repository:** <https://github.com/jaablon/filingfirehose-python>

## Use it

MCP endpoint published by the skill: `https://filingfirehose.com/mcp`

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": "com-filingfirehose-firehose"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/com-filingfirehose-firehose` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/com-filingfirehose-firehose/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