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Google News & Trends MCP

PYPI · MCP-TRENDPULSE · SCANNED SEP 20

Query Google News RSS feeds and search interest over time via Google Trends.

Available components

+3 this week 77 Trust /100
Trust breakdown (7 categories)

How this component scores in each security and reliability category. Every signal is checked automatically from public evidence about the published package, including repeated runs of it in an isolated sandbox, and we only credit what we can confirm. How we score → Why this is hard to score →

Supply Chain Security99
  • No malware found by supply-chain analysis.Pass
  • A known CVE affects nltk, but no fixed version has been published, so there is nothing to upgrade to. View diagnostics → Partial
  • Runs setuptools.build_meta at install time, a recognised native-build step with no shell scripting around it. View diagnostics → Pass
  • 8 of 57 dependencies flagged as unhealthy. View diagnostics → Partial
Provenance & Transparency32
Schema Quality & AI Usability71
  • AI-judged instruction clarity (excellent).Pass
  • Context-footprint check failed: tool/resource definitions use about 2150 tokens (~134/item across 16 items; 16 tools + 0 resources), over budget; trim descriptions and params. See how to fix → Fail
  • Usage-examples check failed: none of the tools include examples. See how to fix → Fail
Stability & Change Management70
  • Stability observed for 21 of 30 days with no destabilising changes; credit accrues until the full window elapses.Partial
Tool Coverage100
  • 100% of tools have a non-trivial description (not blank, and not just the tool's name).Pass
  • 100% of tool parameters carry a description.Pass
  • Structured output schemas are declared (100% of tools); any adoption earns full credit.Pass
Tool Safety100
  • No prompt-injection markers were found in the server instructions, tool names or descriptions we captured.Pass
  • We read all 16 captured tool definition(s), and no name or description among them implies an irreversible operation.Pass
  • An AI judge read all 17 captured unit(s) of tool text and found none that tries to manipulate the model reading it.Pass
Capabilities100
  • Implements a supported MCP spec version (2025-11-25); the latest is 2026-07-28.Pass
Install

How do I install the Google News & Trends MCP server?

Google News & Trends MCP runs locally as a PyPI package, launched with uvx mcp-trendpulse. Ready-made configuration for Claude, Cursor, VS Code, Codex and 5 more is on this page, copied from each client's own documentation.

pypi · mcp-trendpulse

# add to Claude Code
claude mcp add akzar1el-mcp-trendpulse -- uvx mcp-trendpulse
// .cursor/mcp.json
{
  "mcpServers": {
    "akzar1el-mcp-trendpulse": {
      "command": "uvx",
      "args": [
        "mcp-trendpulse"
      ]
    }
  }
}
// .vscode/mcp.json
{
  "servers": {
    "akzar1el-mcp-trendpulse": {
      "command": "uvx",
      "args": [
        "mcp-trendpulse"
      ]
    }
  }
}
# add to Codex CLI
codex mcp add akzar1el-mcp-trendpulse -- uvx mcp-trendpulse
// opencode.json
{
  "$schema": "https://opencode.ai/config.json",
  "mcp": {
    "akzar1el-mcp-trendpulse": {
      "type": "local",
      "command": [
        "uvx",
        "mcp-trendpulse"
      ],
      "enabled": true
    }
  }
}
# add to OpenClaw
openclaw mcp add akzar1el-mcp-trendpulse --command uvx --arg mcp-trendpulse
# ~/.hermes/config.yaml
mcp_servers:
  akzar1el-mcp-trendpulse:
    command: "uvx"
    args: ["mcp-trendpulse"]
// ~/.netclaw/config/netclaw.json
{
  "McpServers": {
    "akzar1el-mcp-trendpulse": {
      "Transport": "stdio",
      "Command": "uvx",
      "Arguments": [
        "mcp-trendpulse"
      ]
    }
  }
}
# add to Vellum
assistant mcp add akzar1el-mcp-trendpulse -t stdio -c uvx -a mcp-trendpulse
// mcp.json
{
  "mcpServers": {
    "akzar1el-mcp-trendpulse": {
      "command": "uvx",
      "args": [
        "mcp-trendpulse"
      ]
    }
  }
}
Changelog

Every change we have recorded for this component, newest first. Security-relevant changes are always shown. ▲ marks a change for the better, ▼ a change for the worse; unmarked changes are neutral.

  • 20 Sept 26 +41
    • Malware scan: pass → unverified security
    • Injection markers: unverified → pass security
    • Tool coverage: unverified → 100 functional
    • MCP protocol: unverified → pass functional
    • Stability: unverified → 0.70 functional
    • Package version: 0.2.19 → 0.2.25 functional
    • Package version: 0.2.19 → 0.2.24 functional
    • Package version: 0.2.13 → 0.2.22 functional
    • Package version: 0.2.19 → 0.2.20 functional
  • 19 Sept 26 −40
    • Tool safety: pass → unverified security
    • Stability: 0.63 → unverified security
    • Capabilities: pass → unverified functional
    • Tool coverage: 100 → unverified functional
    • Package version: 0.2.13 → 0.2.19 functional
    • Package version: 0.2.13 → 0.2.18 functional
    • Package version: 0.2.13 → 0.2.17 functional
    • Package version: 0.2.13 → 0.2.16 functional
    • Package version: 0.2.13 → 0.2.15 functional
  • 18 Sept 26 +15
    • Malware scan: unverified → pass security
  • 17 Sept 26 −14
    • Malware scan: pass → unverified security
  • 15 Sept 26 +16
    • Malware scan: unverified → pass security
  • 14 Sept 26 −15
    • Malware scan: pass → unverified security
  • 13 Sept 26 +1

    No change was recorded against any check on this day. Stability & Change Management went from 43 to 47. That category is still filling its 30-day observation window: 13 days of observed history at the previous scan, 14 at this one. The score rises as the window fills, whether or not the server changes.

  • 11 Sept 26 +16
    • Malware scan: unverified → pass security
Diagnostics

Diagnostic detail from the automated scan of this channel: what the scanner observed at each step, so you can see exactly where a check passed or failed. It is informational only and never changes the trust score.

Captured 20 Sept 2026 · Analysed pypi/mcp-trendpulse@0.2.25

Provenance No attestation

The registry publishes no build provenance for this version, so there is nothing to verify.

Result No attestation
Ecosystem pypi

Background: How many MCP packages publish verified provenance →

Install scripts 1 script
Hook Tier Command
build_backend allowlisted setuptools.build_meta

Background: Why install scripts are a supply-chain risk →

Vulnerabilities 1 finding
ID CVE Severity Vector Fix available
GHSA-8mgp-746c-j5xp CVE-2026-81726 high CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:L no

Background: What a vulnerability scan can and cannot prove →

Dependencies 57 packages
Packages resolved 57
Stale 7
No linked repository 1
Tree resolution Complete

Background: SBOMs and build attestations, explained →

MCP tools · 16 exposed · ~2,024 tokens

The tools this component advertises to a client, with an estimated token cost for each. Expand a tool to see its parameters and schema. The per-tool counts are indicative and are not scored directly; the schema's total context footprint is one signal in Schema Quality & AI Usability. A tool's description is untrusted text the model reads on every call, which is what makes this list a security surface and not just an inventory: how tool poisoning works →

Tool Tokens
get_article_content ~122

Download and parse one specific news article when you already have an article URL. Use it to retrieve article text or metadata or summarize that URL; do not use it for discovery - use the news search tools instead.

NameTypeReqDescription
full_databooleanReturn full data for the article. If False a summary should be created by setting the summarize flag
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
urlstringyesThe URL of the news article to download and parse.
NameTypeReqDescription
resultyes

No examples provided.

get_categories ~40

Return Google Trends category IDs and names for use in the cat parameter of trend tools. Call this when a category filter is needed; do not guess category IDs.

Input schema present but exposes no named parameters.

NameTypeReqDescription
resultarrayyes

No examples provided.

get_growth ~112

Estimate momentum for one or more known keywords across requested growth windows. Use this when percentage growth is the goal; use get_trends when the user needs the underlying historical time series.

NameTypeReqDescription
geostringGeographic region code (e.g. 'US').
keywordyesSearch keyword(s) to analyze; comparison lists support 1-5 keywords.
percent_growthTimeframes to calculate growth (e.g. ['3M', '1Y']).
sourcestringSearch source.
NameTypeReqDescription
resultarrayyes

No examples provided.

get_interest_by_region ~157

Return geographic Google Trends interest for one or more known keywords at country, region, city, or DMA resolution. Use this to compare where demand is strongest; use get_trends for interest over time instead.

NameTypeReqDescription
catintegerCategory ID (default: 0 for all).
geostringGeographic region code (e.g. 'US' or empty '' for worldwide).
gpropstringGoogle property filter.
inc_low_volbooleanInclude regions with low search volume.
keywordsyesSearch keyword(s) to analyze.
resolutionstringGeographic resolution.
timeframestringTimeframe for search volume analysis (e.g., 'today 12-m').
NameTypeReqDescription
resultarrayyes

No examples provided.

get_news_by_keyword ~146

Find recent Google News articles for a free-form keyword or phrase. Use this for ad-hoc subject searches; use get_news_by_topic for a predefined topic category or get_news_by_site for one publisher.

NameTypeReqDescription
full_databooleanReturn full data for each article. If False a summary should be created by setting the summarize flag
keywordstringyesSearch term to find articles.
max_resultsintegerMaximum number of results to return.
periodintegerNumber of days to look back for articles.
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
NameTypeReqDescription
resultarrayyes

No examples provided.

get_news_by_location ~145

Find recent Google News articles about a place-focused location such as a city, state, or country. Use this when geography is the primary filter; use get_news_by_keyword for general subject searches.

NameTypeReqDescription
full_databooleanReturn full data for each article. If False a summary should be created by setting the summarize flag
locationstringyesName of city/state/country.
max_resultsintegerMaximum number of results to return.
periodintegerNumber of days to look back for articles.
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
NameTypeReqDescription
resultarrayyes

No examples provided.

get_news_by_site ~144

Find recent Google News articles from one publisher domain. Use this when the user wants source-specific coverage; use get_news_by_keyword for cross-publisher subject search.

NameTypeReqDescription
full_databooleanReturn full data for each article. If False a summary should be created by setting the summarize flag
max_resultsintegerMaximum number of results to return.
periodintegerNumber of days to look back for articles.
sitestringyesDomain of the news site, e.g. 'cnn.com'.
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
NameTypeReqDescription
resultarrayyes

No examples provided.

get_news_by_topic ~145

Find recent Google News articles from a predefined Google News topic category. Use this for topic category browsing such as BUSINESS, TECHNOLOGY, or SPORTS; use get_news_by_keyword for a free-form query.

NameTypeReqDescription
full_databooleanReturn full data for each article. If False a summary should be created by setting the summarize flag
max_resultsintegerMaximum number of results to return.
periodintegerNumber of days to look back for articles.
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
topicstringyesTopic to search for articles.
NameTypeReqDescription
resultarrayyes

No examples provided.

get_ranked_trends ~99

Return currently trending keywords ranked by week-over-week growth or volume. Use this when explicit ranked order matters; use get_top_trends for a simpler current feed and get_trends for historical series.

NameTypeReqDescription
geostringGeographic region code (e.g. 'US').
limitintegerMaximum number of trends to return.
sortstringField to sort by.
sourcestringSearch source.
NameTypeReqDescription
resultarrayyes

No examples provided.

get_related_queries ~119

Return top and rising literal search queries related to one seed keyword. Use this for query expansion; use get_related_topics for topic entities or get_suggestions for autocomplete candidates.

NameTypeReqDescription
catintegerCategory ID (default: 0 for all).
geostringGeographic region code (e.g. 'US').
gpropstringGoogle property filter.
keywordstringyesSearch keyword to analyze.
timeframestringTimeframe for search volume analysis (e.g., 'today 12-m').

Structured output declared, but exposes no named fields.

No examples provided.

get_related_topics ~116

Return top and rising Google Trends topic entities related to one seed keyword. Use this for entity or topic expansion; use get_related_queries for literal search queries.

NameTypeReqDescription
catintegerCategory ID (default: 0 for all).
geostringGeographic region code (e.g. 'US').
gpropstringGoogle property filter.
keywordstringyesSearch keyword to analyze.
timeframestringTimeframe for search volume analysis (e.g., 'today 12-m').

Structured output declared, but exposes no named fields.

No examples provided.

get_suggestions ~65

Return Google Trends autocomplete suggestions for a seed keyword. Use this for lightweight autocomplete or entity candidates; use get_related_queries when you need top or rising demand signals.

NameTypeReqDescription
keywordstringyesQuery string to autocomplete.
languageLanguage code, e.g. 'en'.
NameTypeReqDescription
resultarrayyes

No examples provided.

get_top_news ~136

Return general headline and top-news stories from Google News without a keyword or topic seed. Use this for a broad news snapshot; use the keyword, location, topic, or site tools when the user gives a filter.

NameTypeReqDescription
full_databooleanReturn full data for each article. If False a summary should be created by setting the summarize flag
max_resultsintegerMaximum number of results to return.
periodintegerNumber of days to look back for top articles.
summarizebooleanGenerate a summary of the article, will first try LLM Sampling but if unavailable will use nlp
NameTypeReqDescription
resultarrayyes

No examples provided.

get_top_trends ~92

Return a bounded current topic discovery feed from Google Trends RSS, including related news where available. Use this for current top or daily trends; use get_ranked_trends when explicit ranking by growth or volume matters.

NameTypeReqDescription
geostringGeographic region code (e.g. 'US').
limitintegerMaximum number of trends to return.
typestringType of trends feed.
NameTypeReqDescription
resultarrayyes

No examples provided.

get_trending_terms ~199

Return terms that are trending now for a geography, optionally with related news metadata. Use this for current trend discovery; use get_trends when the user wants historical interest over time for known keywords.

NameTypeReqDescription
full_databooleanReturn full data for each trend including related news stories.
geostringGeographic target for trending terms. Supports four levels of granularity: - Worldwide: empty string '' - Country: ISO 3166-1 alpha-2 code, e.g. 'US', 'GB', 'CA' - Subdivision (state/province/region)…
NameTypeReqDescription
resultarrayyes

No examples provided.

get_trends ~187

Return historical Google Trends interest-over-time points for one or more known keywords. Use this for trajectory and comparisons across a timeframe; values are normalized 0-100 interest scores, not absolute search volume. Use get_trending_terms for what is trending now.

NameTypeReqDescription
catintegerGoogle Trends category ID; use 0 for all categories or a value from get_categories.
data_modestringLegacy resolution hint used only when timeframe is omitted.
geostringGeographic region code (e.g. 'US').
keywordyesSearch keyword(s) to analyze; comparison lists support 1-5 keywords.
sourcestringSearch source.
timeframeExplicit TrendsPy range, for example 'today 12-m', 'today 90-d', 'all', or 'YYYY-MM-DD YYYY-MM-DD'. Overrides data_mode when supplied.
NameTypeReqDescription
resultarrayyes

No examples provided.

Common questions

What is the Google News & Trends MCP server?

Google News & Trends MCP is listed in the public MCP registry as io.github.AKzar1el/mcp-trendpulse. Query Google News RSS feeds and search interest over time via Google Trends. This page covers its PyPI package (mcp-trendpulse).

Is the Google News & Trends MCP server safe to use?

Google News & Trends MCP scores 77 out of 100 on VerifyMCP. We recorded 1 known advisory against it as of 20 September 2026. That is a record of what we were able to check automatically, not an endorsement. The category breakdown on this page shows every signal behind the number, including the ones we could not confirm.

What tools does the Google News & Trends MCP server expose?

Google News & Trends MCP exposes 16 tools: get_news_by_keyword, get_news_by_location, get_news_by_topic, get_top_news, get_trending_terms, and 11 more. Their descriptions and schemas cost roughly 2,024 tokens of context every time the server is loaded.

Is the Google News & Trends MCP server still maintained?

Google News & Trends MCP is still listed as active in the MCP registry. We last reached this channel on 20 September 2026. Those dates come from our own scans of the registry and the channel itself, not from anything the publisher announced.