
German Newsfeed MCP Server
io.github.Jakolo121由 GitHub 账号 Jakolo121 发布v2.0.2更新于 Oct 24, 2026
MCP server for the public news API of tagesschau.de, including regional news from ARD broadcasters
概览
本地 MCP 服务器,将 AI 助手连接到 tagesschau.de 的公开新闻 API,可获取头条、分类与地区新闻、全文搜索和直播频道列表。
- 可以做什么
- 获取头条新闻,包含文章全文,并可通过列表中的链接或 tagesschau.de 文章网址读取单篇文章的完整正文(每次调用消耗一次上游请求)。
- 适用场景
- 适合让助手回答有关德国时事的问题,例如当前头条、经济等分类新闻、某个联邦州的地区新闻,或与搜索词匹配的文章,并附带来源链接。它面向德语新闻资讯,而非通用网页搜索。
- 运行要求
- 以 Python 包形式通过 stdio 在本地运行,需要 Python 3.12+ 和 uv(若使用可选的 HTTP 传输,则需要 Docker 24+ 与 Docker Compose v2+)。无需 API 密钥或账号。需要能访问 tagesschau.de API 的网络。可选环境变量:TRANSPORT、HOST、PORT、LOG_LEVEL、RATE_LIMIT_PER_HOUR、USER_AGENT_CONTACT。
安装
在 SourceWeft 中
- 打开 控制台中的 German Newsfeed MCP Server,将其添加到工作区。
- 为需要使用其工具的对话启用该服务。
Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。
其他 MCP 客户端
参照 仓库 中的启动说明。
README
German Newsfeed MCP Server
[pylint] [tests] [python] [license]
Disclaimer: This is a private, unofficial project. It is not an ARD product and is neither operated nor endorsed by ARD, ARD-aktuell, or NDR. It is developed independently of the author's professional employment. "ARD" and "tagesschau" are trademarks of their respective owners and are named here solely to describe the API being accessed.
This project merely connects the public API to an MCP-capable AI assistant. ARD-aktuell is responsible for the API itself, its operation, and its content; this project cannot provide information on any of those. Please raise any concerns about this project, in particular from rights holders, as a GitHub issue. Substantiated concerns will be addressed promptly.
In thirty seconds
This Model Context Protocol (MCP) server
connects your AI assistant (Claude Desktop and others) to the public news
API of tagesschau.de: current headlines, category and regional news, and
full-text search, locally via stdio, no API key required.
Example: asked "Was sind die aktuellen Schlagzeilen?", the assistant answers with the current top stories from tagesschau.de, each with title, date, summary, and a link to the article.
Language:
- 🇩🇪 Deutsch
- 🇬🇧 English
Table of Contents
- What is this?
- Data Source and Terms of Use
- Features
- Project Structure
- Quick Start Local (Claude Desktop)
- Remote / Docker Deployment
- Configuration Reference
- Available Tools
- Available Resources
- Development Guide
- Running the Tests
- Makefile Reference
- Troubleshooting
- When it stops working
- License & Acknowledgements
What is this?
This MCP server connects the public news API of tagesschau.de to your AI assistant (Claude, Open Claw, etc.).
Once connected, your AI can answer questions like:
- "Was sind die aktuellen Schlagzeilen?"
- "Zeig mir die neuesten Wirtschaftsnachrichten."
- "Suche nach Artikeln über Ukraine."
- "Welche Regionalnachrichten gibt es aus Bayern?"
For details on the API and its terms, see Data Source and Terms of Use. No API key required.
Data Source and Terms of Use
This server calls the publicly accessible endpoint
www.tagesschau.de/api2u/, operated by ARD-aktuell. The delivered
content originates from the ARD broadcasters, remains subject to their
rights and to the terms of use of tagesschau.de:
https://www.tagesschau.de/nutzungsbedingungen/
The API is not officially documented. Community documentation is available at bund.dev (https://tagesschau.api.bund.dev). bund.dev is a civil-society documentation project, neither the operator of the API nor a rights holder of the content. Its documentation served as a reference for this project but does not grant any usage rights.
Applicable limits: at most 60 requests per hour, and no republication of the content except for offerings under a CC licence (https://tagesschau.de/creativecommons). Compliance is the responsibility of whoever operates a given instance.
The robots.txt of tagesschau.de additionally declares an express reservation of rights under Section 44b(3) of the German Copyright Act (as of 2026-05-19): text and data mining and the automated use of the content for training or fine-tuning AI models are prohibited without written consent. Expressly exempt is automated access for the sole purpose of retrieval-augmented generation (RAG) or grounding, provided the technical directives of the robots.txt are complied with and the content remains attributed to its original source. This server falls under that exemption: it passes content to the assistant exclusively together with source links. The retrieved content must not be used to train AI models.
Features
Project Structure
Quick Start Local (Claude Desktop)
Also applicable to other AI assistants, edit their respective config instead. This mode uses stdio transport; the server is launched as a child process. No port is needed.
Prerequisites
- macOS / Linux / Windows (WSL2)
- Python 3.12+
- uv:
curl -LsSf https://astral.sh/uv/install.sh | sh - Claude Desktop
Step 1: Clone and install
Step 2: Verify it works
Step 3: Connect Claude Desktop
Open your Claude Desktop config file:
Add the following entry (adjust the path to your clone):
Step 4: Restart Claude Desktop
Quit and reopen the application, or reload its MCP servers, depending on the application.
Step 5: Try it!
Ask your assistant:
"Was sind die aktuellen Nachrichten?"
Remote / Docker Deployment
Self-hosting for your own or team-internal use. The recommended default
is stdio (see Quick Start);
the streamable-http transport is an option you choose deliberately.
Security note: The HTTP transport has no authentication. Do not
expose it publicly without an authentication layer in front (e.g. a
reverse proxy). The Compose setup therefore deliberately binds the port
to 127.0.0.1 only. Whoever makes an instance reachable for third
parties becomes the responsible operator under the
terms of use.
Rate limiter limitations: stateless_http=True refers to MCP
sessions, not to the rate limiter. The token bucket is process-local
in-memory state. Two limitations follow:
- Multiple replicas against the same upstream API multiply the request budget.
- A container restart resets the bucket to full. Combined with
restart: unless-stoppedand a crash loop, this can exceed the limit. Watch the logs.
(The legacy sse transport is still supported.)
Prerequisites
- Docker 24+
- Docker Compose v2+
Step 1: Create your .env file
Step 2: Build and start
Or:
The server starts at http://localhost:8000.
Step 3: Verify health
Or:
Step 4: Connect Claude Desktop (Streamable HTTP)
For external servers: put an authentication layer in front first (see the security note above), then adjust the loopback binding in docker-compose.yml and replace localhost with your proxy's address.
Stop / Update
Configuration Reference
All settings are read from environment variables (or a .env file).
The defaults apply when running directly (uv run german-newsfeed-mcp).
The Compose setup overrides them: it sets HOST=0.0.0.0 and PORT=8000
(see docker-compose.yml).
Available Tools
These tools are callable by your AI assistant.
get_latest_news
Get the top stories.
Returns the full article text for each item (homepage feed). Every item also carries a 🔗 Volltext: link that get_article accepts.
get_article
Get the complete text of a single article.
Takes the 🔗 Volltext: link printed with every item by get_latest_news, get_news_by_ressort and get_regional_news; a plain https://www.tagesschau.de/<path>.html article link works too.
Costs exactly one upstream request per call out of the 60/h budget — call it for the articles that matter, not for every headline in a listing.
search_newsresults carry no article link and cannot be passed toget_article. Locate the article viaget_latest_news,get_news_by_ressortorget_regional_newsfirst.
get_news_by_ressort
Filter news by category.
Returns metadata only — title, topline, date and a teaser sentence — no full article text. Every item carries a 🔗 Volltext: link that get_article resolves into the full text.
Ressort strings are automatically normalised to lowercase:
"Inland","INLAND"and"inland"are all equivalent.
get_regional_news
News from a specific German state.
Returns metadata only — title, topline, date and a teaser sentence — no full article text. Every item carries a 🔗 Volltext: link that get_article resolves into the full text; because regional items originate at an ARD state broadcaster, they additionally carry a 📰 Quelle: line naming that broadcaster.
search_news
Full-text search across all available articles.
Returns metadata only — title, date and article type — no full article text. Search results carry no article link and therefore cannot be passed to get_article.
get_channels
List all live channels with stream URLs.
(No parameters)
Available Resources
Resources are addressable URIs that MCP clients can read directly.
Development Guide
Setup
Start the server:
Or:
Code organisation (SOLID)
Each module has exactly one responsibility:
Adding a new tool
- Add a
tool_<name>()async function intools.py - Register it with
@mcp.tool()inserver.py - Write unit + integration tests in
tests/test_tools.py
Running the Tests
Unit tests (no internet required, fast)
Or:
Live integration tests (requires internet)
Full suite
Or:
Quality gate (lint + tests)
Or:
Expected results
Makefile Reference
Troubleshooting
Claude Desktop shows no MCP tools
- Check that the
claude_desktop_config.jsonpath is absolute - Run
uv run python main.pyin the terminal, it should start without errors - Fully quit and reopen Claude Desktop (Cmd+Q, not just close window)
Docker container exits immediately
Or:
Common causes: wrong TRANSPORT value (must be streamable-http in Docker), port already in use.
API timeouts
The upstream API occasionally rate-limits certain endpoints. This is normal, the server returns a descriptive error message rather than crashing. Retry after a few seconds.
Rate-limit errors
If the server reports "Rate limit exceeded", the local request budget (RATE_LIMIT_PER_HOUR, default 60/h) is exhausted. No request was sent upstream. Try again later.
Import errors in tests
When it stops working
The upstream API is not officially documented and can change without
notice. You can tell by the tools suddenly returning empty lists or
error messages although tagesschau.de is reachable, and by the live
integration tests failing (uv run pytest tests/ -m integration).
All endpoints are defined in a single place: ENDPOINTS in
src/german_newsfeed_mcp/client.py. API changes can be tracked there.
The CI job upstream-check (.github/workflows/ci.yml) runs exactly
these live tests weekly against the real API and fails loudly when the
response format no longer matches.
License & Acknowledgements
Apache License 2.0.
The delivered news items are content of the ARD broadcasters, subject to their rights and the terms of use of tagesschau.de, see Data Source and Terms of Use.
Thanks to AndreasFischer1985, the bund.dev community for documenting the API and above all to the journalists at the ARD broadcasters, whose work this project merely passes along.
来源:README.md,提交 6a6b7b6
工具
0版本历史
1- v2.0.2最新Sep 16, 2026
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