# io.github.aion-org/edgar-answers-mcp

> io.github.aion-org/edgar-answers-mcp — aion-autonomous-labs-edgar-answers-mcp. Use this tool when you need to access standardized financial data from the SEC EDGAR database, providing AI agents with normalized information on company financials, filings, and insider trades via the MCP interface. It solves problems related to data inconsistency and availability, enabling agents to make informed decisions. Ideal for use cases requiring reliable and structured financial data, such as risk analysis, investment research, or compliance monitoring.

Canonical page: https://skillsregistry.net/skills/aion-autonomous-labs-edgar-answers-mcp  
JSON: https://api.skillsregistry.net/v1/skills/aion-autonomous-labs-edgar-answers-mcp

## Description

Provides normalized SEC EDGAR data (financials, filings, insider trades) to AI agents via MCP.

## Trust

- **Trust score (0–1):** 0.30
- **Verification tier:** unverified
- **Last scanned:** 2026-09-04

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-04

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/iq1izsts94)
- **Repository:** <https://github.com/aion-autonomous-labs/edgar-answers-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": "aion-autonomous-labs-edgar-answers-mcp"
    }
  }
}
```

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

---
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