# Abgeordnetenwatch

> Use this tool when you need to access parliamentary transparency data, track political activity, or retrieve information on politicians' profiles and voting records. It solves problems related to researching legislative positions, contacting politicians, and analyzing voting patterns across the German Bundestag, state Landtags, and EU Parliament. The tool provides keyless access to query individual politicians and their legislative positions, with no external API key required.

Canonical page: https://skillsregistry.net/skills/abgeordnetenwatch  
JSON: https://api.skillsregistry.net/v1/skills/abgeordnetenwatch

## Description

Abgeordnetenwatch tracks political activity across the German Bundestag, all 16 state Landtags, and the EU Parliament, including politician profiles, voting records, and contact information. Pipeworx provides keyless MCP access to query individual politicians and their legislative positions. No external API key is required to access this parliamentary transparency data.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** file-system
- **Updated:** 2026-09-01

## Source

- **Source listing:** [PulseMCP](https://www.pulsemcp.com/servers/abgeordnetenwatch)
- **Repository:** <https://github.com/pipeworx-io/mcp-abgeordnetenwatch>

## 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": "abgeordnetenwatch"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/abgeordnetenwatch` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/abgeordnetenwatch/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