# SEC EDGAR Data MCP

> SEC EDGAR Data MCP — sec-api-io-sec-edgar-mcp. Use this tool when you need to access and analyze large volumes of SEC EDGAR filings and entity data for financial research, compliance, or risk assessment. It provides AI agents with a comprehensive interface to retrieve raw documents, extracted sections, and structured JSON data, supporting various use cases such as financial modeling, regulatory reporting, and investment analysis. With over 20M+ filings and 100M+ exhibits, this tool enables efficient data extraction and insights generation.

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

## Description

Hosted MCP server granting AI agents access to 20M+ SEC EDGAR filings, 100M+ exhibits, and comprehensive entity data through 49 tools, with support for raw documents, extracted sections, and structured JSON.

## Trust

- **Trust score (0–1):** 0.60
- **Verification tier:** scanned
- **Last scanned:** 2026-08-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-08-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rhhc76e54i)
- **Repository:** <https://github.com/SEC-API-io/sec-edgar-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": "sec-api-io-sec-edgar-mcp"
    }
  }
}
```

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