# agentladle/mcp-sec

> Use this tool when you need to access and analyze SEC EDGAR data for financial research or compliance tasks, as it provides structured tools for discovering filings, searching, and extracting relevant information. It solves problems of data discovery and extraction, enabling AI assistants to efficiently process large amounts of financial data. The tool takes search queries and filing parameters as inputs and returns relevant SEC EDGAR data as outputs.

Canonical page: https://skillsregistry.net/skills/agentladle-mcp-sec  
JSON: https://api.skillsregistry.net/v1/skills/agentladle-mcp-sec

## Description

It enables AI assistants (Claude, Cursor, etc.) to access SEC EDGAR data through 6 structured tools — from discovering available filings to keyword-searching within their pages.

## Trust

- **Trust score (0–1):** 0.67
- **Verification tier:** scanned
- **Last scanned:** 2026-08-31

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** search
- **Updated:** 2026-08-31

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/g0p4o2fw3i)
- **Repository:** <https://github.com/agentladle/mcp-sec>

## 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": "agentladle-mcp-sec"
    }
  }
}
```

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