# sec-edgar-lmstudio

> sec-edgar-lmstudio — nowng-sec-edgar-lmstudio. Use this tool when you need to access and analyze SEC EDGAR company filings, financial statements, and insider trading data within LM Studio. It solves problems related to financial data retrieval and analysis by providing a plugin interface to the sec-edgar-mcp server, allowing AI assistants to fetch and process relevant data. This tool is ideal for use cases involving financial research, compliance, and due diligence, accepting company names or ticker symbols as input and outputting corresponding financial data and filings.

Canonical page: https://skillsregistry.net/skills/nowng-sec-edgar-lmstudio  
JSON: https://api.skillsregistry.net/v1/skills/nowng-sec-edgar-lmstudio

## Description

Enables AI assistants in LM Studio to access SEC EDGAR company filings, financial statements, and insider trading data via a plugin that wraps the sec-edgar-mcp server.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **Last scanned:** 2026-08-29

## Facts

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

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/dpcu01waj9)
- **Repository:** <https://github.com/Nowng/sec-edgar-lmstudio>

## 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": "nowng-sec-edgar-lmstudio"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/nowng-sec-edgar-lmstudio` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/nowng-sec-edgar-lmstudio/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
