# io.github.pablixnieto2/etld-mcp-server

> Use this tool when you need to parse and process B2B data from various formats such as CSV, EDI, and SEC filings in a deterministic and reliable manner. It solves problems related to data inconsistency and inaccuracies by providing a waterfall parsing approach, eliminating errors and "hallucinations". Ideal for finance and business applications where data accuracy is crucial, it takes in raw data files and outputs parsed and structured data for further analysis or processing.

Canonical page: https://skillsregistry.net/skills/io-github-pablixnieto2-etld-mcp-server  
JSON: https://api.skillsregistry.net/v1/skills/io-github-pablixnieto2-etld-mcp-server

## Description

Deterministic B2B Data Middleware. Waterfall parsing for CSV, EDI, SEC & Finance. No hallucinations.

## Trust

- **Trust score (0–1):** 0.96
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

- **Version:** 3.2.2
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** finance
- **Updated:** 2026-09-19

## Source

- **Source listing:** [MCP Registry](https://registry.modelcontextprotocol.io/v0/servers/io.github.pablixnieto2%2Fetld-mcp-server)
- **Repository:** <https://github.com/pablixnieto2/etld-mcp-server>

## 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": "io-github-pablixnieto2-etld-mcp-server"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/io-github-pablixnieto2-etld-mcp-server` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/io-github-pablixnieto2-etld-mcp-server/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