Trend Pulse MCP Server

trend-pulse PyPI v2.0.0

Published by claude-world — no publish provenance, so origin is unverified, but the source is public: the repository link below is self-declared yet readable, so you can inspect the code before adopting it.

Global open-source Agentic Trend Intelligence Platform — 35+ sources, plugin system, vector search, trend clustering, lifecycle prediction, 6-agent content factory, web dashboard, and 23-tool MCP server.

Trust grade
A
92/100
Last scanned get badge →
Trust
A · 92/100
Adoption risk for you: the threat score, then adjusted down for blast radius, publisher verification and how much the scan could see. Deterministic; every point is auditable.
Capability
High
Blast radius if it went rogue — what the server’s tools could reach. Independent of trust.
Coverage
Source
How much the scan could actually inspect. Shallow coverage is stated, never hidden.
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A Why this grade threat 99 − adoption risk = 92/100

The grade answers one question — how safe is this server for you to adopt — so it is computed in two auditable stages. Nothing below is an opinion or an LLM's guess; every line is a real term the deterministic engine applied, and the same input always yields the same number.

1. Threat score — 100 − 1.2 = 99. What the published surface and source actually contain:

PointsWhat was foundCategory
−1.2 Hardcoded Google API key in server code MTC-SRC-008 exfiltration

2. Client adoption risk — 99 − 7 = 92. Three small, subtract-only factors that reflect your risk in adopting it — a clean scan proves less on a powerful, unverified or barely-inspectable package, so the grade says so plainly:

PointsAdoption-risk factor
−6 capability blast radius (high) — client exposure if the model is manipulated
−1 publisher verification (public source) — no provenance, but the source is public and inspectable

Capability observations and info notes are shown under Findings but never scored. Open any row's finding below for the file, line and evidence behind a deduction.

Findings 2

critical Completed toxic-flow trifecta across toolsMTC-FLOW-002

This server (without client built-ins) exposes a complete data-exfiltration chain: take_snapshot → export_data → send_notification. Untrusted input is ingested, private data is read, and it can be sent to an external sink via the agent composing the tools (→). Static analysis proves the primitive exists, not that a specific run will occur.

Fix: Remove one leg of the trifecta: isolate untrusted-input tools from secret-reading tools and from egress tools, or require human approval between them.

Location: flow take_snapshot → export_data → send_notification

low Hardcoded Google API key in server code (src/trend_pulse/plugins/sources/youtube_trending.py)MTC-SRC-008

A hardcoded Google API key (a client API key (restricted by referrer/quota, not a private secret)) appears in `src/trend_pulse/plugins/sources/youtube_trending.py:29`. Verify whether this is a real credential; if so, remove and rotate it.

Evidence: Google API key: AIza…(redacted)

Fix: Remove the secret, rotate it, and load credentials from the environment or a secret store.

Location: server src/trend_pulse/plugins/sources/youtube_trending.py

Tools 29

Each tool and what it can reach — statically extracted from the published source.

  • export_datareads sensitive data
  • send_notificationnetwork egress
  • take_snapshotingests untrusted input
  • adapt_contentno sensitive capability
  • analyze_viral_factorsno sensitive capability
  • batch_score_contentno sensitive capability
  • compare_trendsno sensitive capability
  • generate_hashtagsno sensitive capability
  • get_ab_variantsno sensitive capability
  • get_campaign_calendarno sensitive capability
Show 19 more tools ↓
  • get_content_briefno sensitive capability
  • get_lifecycle_predictionno sensitive capability
  • get_platform_specsno sensitive capability
  • get_reel_guideno sensitive capability
  • get_review_checklistno sensitive capability
  • get_scoring_guideno sensitive capability
  • get_source_statusno sensitive capability
  • get_trend_clustersno sensitive capability
  • get_trend_historyno sensitive capability
  • get_trend_reportno sensitive capability
  • get_trend_velocityno sensitive capability
  • get_trendingno sensitive capability
  • list_sourcesno sensitive capability
  • list_sources_extendedno sensitive capability
  • render_pageno sensitive capability
  • run_content_workflowno sensitive capability
  • score_content_hybridno sensitive capability
  • search_semanticno sensitive capability
  • search_trendsno sensitive capability

Toxic flows 1

Cross-tool combinations that form a data-exfiltration primitive (untrusted input → sensitive source → external sink).

What this scan could not see

Versions 1

Scan history per published version. The engine is deterministic — the same version always yields the same score, so a changed score means the package itself changed.

VersionScoreFindingsEngineScanned
v2.0.0 latest A 92/100 2 1.13.0 2026-08-25

Embed this score

Show this server's live Trust Score in your README, docs or website. The badge is served straight from the registry and updates automatically after every rescan — no API key needed. It links back to this page, so anyone who sees the grade can also read the findings behind it instead of taking a number on faith.

MCP Trust Score: A · 92/100
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Verify this score yourself

The score above is reproducible: the same package version always yields the same result. Run it locally or over the free API — no account, no LLM, fully deterministic.

npx mcptrustchecker scan trend-pulse --online --registry pypi

Use the free API → How scoring works

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