# ffd-mcp

> Use this tool when you need to extract and structure fee data from SEC EDGAR filings, solving problems of manual data parsing and analysis for financial disclosures. It takes XBRL fee disclosures as input and returns structured fee data through the Model Context Protocol, providing a straightforward interface for financial data analysis. Ideal for use cases requiring automated processing of SEC registration statements.

Canonical page: https://skillsregistry.net/skills/davidtauriello-ffd-mcp  
JSON: https://api.skillsregistry.net/v1/skills/davidtauriello-ffd-mcp

## Description

Parses SEC EDGAR Exhibit 107 XBRL fee disclosures from registration statements and returns structured fee data through the Model Context Protocol. No API keys required.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-09-03

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** api-integration
- **Updated:** 2026-09-03

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/k64jll3uj2)
- **Repository:** <https://github.com/davidtauriello/ffd-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": "davidtauriello-ffd-mcp"
    }
  }
}
```

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