# mcp-edgar

> Use this tool when you need to access and analyze SEC EDGAR data, such as searching filings, extracting specific sections, or pulling structured financial information. It solves problems related to financial data extraction and analysis, providing inputs like company names or filing types and outputs like relevant filings or financial data. Ideal for use cases requiring up-to-date and accurate financial information, like investment research or compliance monitoring.

Canonical page: https://skillsregistry.net/skills/cmanohar-mcp-edgar  
JSON: https://api.skillsregistry.net/v1/skills/cmanohar-mcp-edgar

## Description

Enables LLMs to access SEC EDGAR data: search filings, extract sections, pull structured financials, and track insider transactions.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/umokzvsd0g)
- **Repository:** <https://github.com/cmanohar/mcp-edgar>

## 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": "cmanohar-mcp-edgar"
    }
  }
}
```

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