# Peppol Network

> Use this tool when you need to access and utilize Peppol e-procurement network capabilities, such as participant lookup and document type support queries, to streamline procurement processes and ensure compliance. It provides a range of functionalities, including endpoint URL discovery and identifier validation, to facilitate seamless interactions with the Peppol network. Ideal for use cases involving e-procurement, supply chain management, and business-to-business transactions.

Canonical page: https://skillsregistry.net/skills/helger-it-peppol-network  
JSON: https://api.skillsregistry.net/v1/skills/helger-it-peppol-network

## Description

Exposes Peppol e-procurement network capabilities as MCP tools. Provides participant lookup, document type support queries, endpoint URL discovery, Peppol directory search, identifier validation, and codelist checking. Built in Java and distributed as an executable JAR. Released under Apache 2.0 license by Philip Helger, author of several reference Peppol Java libraries.

## Trust

- **Trust score (0–1):** 1.00
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

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

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/helger-it-peppol-network)
- **Repository:** <https://github.com/helger-it/phoss-peppol-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": "helger-it-peppol-network"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/helger-it-peppol-network` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/helger-it-peppol-network/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