# Conduit

> Conduit — slatino-dev-conduit. Use this tool when you need to access clean and cited SEC EDGAR filing data for financial analysis or research. Conduit provides real-time filing data from a single URL, eliminating the need for installation or complex setup. It solves problems related to data accuracy and accessibility, making it ideal for use cases that require reliable and efficient retrieval of financial information.

Canonical page: https://skillsregistry.net/skills/slatino-dev-conduit  
JSON: https://api.skillsregistry.net/v1/skills/slatino-dev-conduit

## Description

Provides real SEC EDGAR filings as MCP tools, allowing agents to fetch clean, cited, token-lean filing data from a single URL with no installation.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** other
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/hcn6b6nqn6)
- **Repository:** <https://github.com/slatino-dev/conduit>

## 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": "slatino-dev-conduit"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/slatino-dev-conduit` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/slatino-dev-conduit/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