gnews-agent
A persistent news intelligence MCP server that enables AI agents to fetch, store, deduplicate, embed, and semantically query news from Google News across 141 countries and 41 languages.
README
gnews-agent
Persistent, semantic news intelligence layer for AI agents — built on top of GNews (106k+ monthly PyPI downloads, 141 countries, 41 languages).
The journalism layer your AI agent is missing. Fetch published news from Reuters, BBC, AP, TechCrunch, and the 141-country Google News graph; dedup it; embed it; store it persistently; and query it semantically — over a Python API, a CLI, or an MCP server that drops straight into Claude.
Table of Contents
Installation
pip install gnews-agent
Optional extras:
pip install "gnews-agent[openai]" # OpenAI embedding backend
pip install "gnews-agent[fulltext]" # full-article extraction via trafilatura
pip install "gnews-agent[lance]" # LanceDB vector backend
pip install "gnews-agent[qdrant]" # Qdrant server backend
pip install "gnews-agent[evals]" # DeepEval + Langfuse (v2)
Verify the install:
gnews-agent --version
gnews-agent stats # → {"total_articles": 0, ...}
Usage
The library exposes the same six capabilities through every surface:
ingest, search, timeline, brief, sentiment, stats. Pick the
surface that matches how the rest of your system already works.
CLI
gnews-agent ingest "OpenAI" --method get_news
gnews-agent search "GPT-5 safety" --days 7 --limit 5
gnews-agent brief "OpenAI this week" --days 7
gnews-agent sentiment "Tesla" --days 14 --timeline
gnews-agent timeline "OpenAI" --days 30
gnews-agent stats
gnews-agent serve --transport stdio
Every command emits JSON to stdout. Use --no-pretty for one-line output
(pipe through jq or feed straight into another agent).
MCP server
gnews-agent serve exposes five tools — search_news, get_brief,
get_sentiment, get_timeline, monitor_topic — and three resources —
news://latest/{topic}, news://sentiment/{topic},
news://timeline/{topic}. Works in any MCP client.
Claude Code (CLI):
claude mcp add gnews-agent -- gnews-agent serve --transport stdio
Then ask Claude:
"Use gnews-agent to ingest the latest reporting on OpenAI, then give me a cited brief on what changed this week."
Claude Desktop / Cursor / Windsurf:
Add this block to ~/Library/Application Support/Claude/claude_desktop_config.json
(macOS) or the platform equivalent:
{
"mcpServers": {
"gnews-agent": {
"command": "gnews-agent",
"args": ["serve", "--transport", "stdio"],
"env": {
"ANTHROPIC_API_KEY": "sk-ant-...",
"GNEWS_AGENT_LLM_PROVIDER": "anthropic",
"GNEWS_AGENT_LLM_MODEL": "claude-3-5-haiku-latest"
}
}
}
}
Restart the client. If gnews-agent isn't on $PATH, use the absolute
path from which gnews-agent.
HTTP transport (LangGraph, custom agents):
gnews-agent serve --transport http --port 8000
Claude Code skill
The /gnews skill wraps the MCP server with prompt scaffolding and a
citation-formatted output template.
/plugin marketplace add ranahaani/gnews-agent
/gnews OpenAI this week
/gnews Pakistan economy sentiment
/gnews Tesla vs Rivian coverage last 30 days
Requires pip install gnews-agent on the same machine.
Python library
Drop into any LangGraph, CrewAI, or vanilla Python pipeline.
from gnews_agent import NewsMemory
memory = NewsMemory() # SQLite + Chroma, persistent
memory.ingest("OpenAI", method="get_news") # fetch + dedup + embed + store
results = memory.search("GPT-5 safety", days=7) # semantic re-ranked by recency
timeline = memory.timeline("OpenAI", days=30) # SQL-only
brief = memory.brief("OpenAI this week", days=7) # cited LLM summary
sentiment = memory.sentiment("Tesla", days=14)
print(memory.stats())
NewsMemory accepts a NewsMemoryConfig for full control over paths,
embedder, vector backend, and LLM provider:
from gnews_agent import NewsMemory, NewsMemoryConfig
cfg = NewsMemoryConfig(
db_path="~/news/news.db",
vector_path="~/news/chroma",
embed_model="all-MiniLM-L6-v2",
llm_provider="anthropic",
llm_model="claude-3-5-haiku-latest",
)
memory = NewsMemory(config=cfg)
Configuration
search, ingest, timeline, and stats are keyless — they only need
GNews (free, no API key) and local storage. brief and sentiment are
LLM-powered and need a provider key.
| Variable | Used by | Notes |
|---|---|---|
OPENAI_API_KEY |
brief, sentiment, gnews-agent[openai] embeddings |
Pass via env or LLMConfig. |
ANTHROPIC_API_KEY |
brief, sentiment |
Recommended for higher TPM on the free tier. |
GROQ_API_KEY |
brief, sentiment |
Cheapest + fastest; tighter token-per-minute limits. |
GEMINI_API_KEY |
brief, sentiment |
|
GNEWS_AGENT_LLM_PROVIDER |
CLI default for --llm-provider |
anthropic / openai / groq / gemini / ollama. |
GNEWS_AGENT_LLM_MODEL |
CLI default for --llm-model |
Provider-qualified or bare model id. |
GNEWS_AGENT_HOME |
Docker entrypoint | Mounts /data for SQLite + Chroma persistence. |
Copy .env.example to .env and fill in only the keys
you need. Ollama runs locally with no key at all.
Docker
cd docker
docker compose up --build
# HTTP MCP listening on http://localhost:8000
The image pre-downloads all-MiniLM-L6-v2 at build time so the first
ingest doesn't pay the ~80MB cold-start.
Design notes
- Dedup key =
sha256(title_slug + "|" + publisher_norm). URL is excluded because Google News surfaces the same article under multiple URL variants (locale params, tracking suffixes, redirector vs resolved). Title-slug + publisher catches those without merging legitimately distinct outlets. - No semantic cosine dedup at ingestion. Reuters and BBC reporting
the same event are kept as separate rows. Cosine similarity is
reserved for query-time re-ranking inside
brief(). - Embedding model + dimension are recorded on every vector row. The
store refuses cross-model queries via
EmbeddingDimMismatchError. To switch from sentence-transformers to OpenAI embeddings, use a separatevector_pathor wipe the existing collection. - Story clustering is v2.
brief()ranks by recency + similarity and passes the top-N to the LLM, no clustering. - Webhook URL validation for
monitor_topic. RFC1918, loopback, link-local, and cloud-metadata IPs are refused. HTTPS required in MCP-exposed mode. - GNews ≥0.8.2 is required for the built-in 429 retry +
exponential backoff.
gnews-agentlayers per-topic 1s spacing and topic cooldown on top of that.
Status
- v0.1.0 — Library + CLI + MCP server + Claude Code skill scaffold. End-to-end ingest → search → brief works against a real LLM key. 83 unit + 24 integration tests pass.
- v2 deferred — DeepEval
FaithfulnessMetric, Langfuse tracing, CI eval gate, story clustering,get_entitiesMCP tool, Telegram/Slack/Email alert channels, LanceDB + Qdrant backends, multi-language summaries.
Pairs well with /last30days
/last30days searches what people say (Reddit, X, YouTube, TikTok,
Hacker News). gnews-agent searches what journalism reports
(Reuters, BBC, AP, TechCrunch). Different signals from different
sources:
/last30days OpenAI GPT-5 → social signal
/gnews OpenAI GPT-5 → published record
Install both and ask Claude to combine them for the full picture.
License
MIT — see LICENSE.
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