RRepoGEO

REPOGEO REPORT · LITE

6551Team/opennews-mcp

Default branch main · commit 9c6b508c · scanned 6/20/2026, 2:42:40 AM

GitHub: 1,636 stars · 136 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
28 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
2 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface 6551Team/opennews-mcp, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

3 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • hightopics#1
    Add relevant topics for news aggregation and trading signals

    Why:

    COPY-PASTE FIX
    ["news-aggregation", "ai-ratings", "trading-signals", "real-time-data", "financial-news", "market-data", "opennews"]
  • highreadme#2
    Reposition README opening to highlight financial trading signals

    Why:

    CURRENT
    <p align="center">
  <b>OpenNews MCP Server</b><br>
  84+ Real-time Data Sources · 6 Engine Categories · AI Ratings · Trading Signals
</p>
    COPY-PASTE FIX
    <p align="center">
  <b>OpenNews MCP: Real-time News Aggregation for AI Ratings & Trading Signals</b><br>
  Leverage 84+ Real-time Data Sources and 6 Engine Categories to power your financial analysis and trading strategies.
</p>
  • mediumreadme#3
    Add a dedicated 'Features' section to detail AI ratings and trading signals

    Why:

    COPY-PASTE FIX
    ## Features

- **Real-time News Aggregation:** Access 84+ data sources for up-to-the-minute information.
- **AI Ratings:** Get AI-powered sentiment and relevance scores for news articles.
- **Trading Signals:** Generate actionable insights and signals for financial markets.
- **Modular Engine Categories:** Utilize 6 distinct engine categories for diverse analysis.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface 6551Team/opennews-mcp
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
RavenPack
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. RavenPack · recommended 1×
  2. News Quantified · recommended 1×
  3. AlphaSense · recommended 1×
  4. Bloomberg Terminal · recommended 1×
  5. Refinitiv Eikon · recommended 1×
  • CATEGORY QUERY
    How to get real-time news aggregation and AI ratings for financial trading signals?
    you: not recommended
    AI recommended (in order):
    1. RavenPack
    2. News Quantified
    3. AlphaSense
    4. Bloomberg Terminal
    5. Refinitiv Eikon
    6. StockTwits
    7. Finnhub
    8. Tiingo

    AI recommended 8 alternatives but never named 6551Team/opennews-mcp. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the best tools for analyzing market data with AI-powered trading signals?
    you: not recommended
    AI recommended (in order):
    1. QuantConnect
    2. Alpaca
    3. MetaTrader 5
    4. TradingView
    5. Keras
    6. TensorFlow
    7. PyTorch
    8. NinjaTrader

    AI recommended 8 alternatives but never named 6551Team/opennews-mcp. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of 6551Team/opennews-mcp?
    pass
    AI named 6551Team/opennews-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts 6551Team/opennews-mcp in production, what risks or prerequisites should they evaluate first?
    pass
    AI named 6551Team/opennews-mcp explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo 6551Team/opennews-mcp solve, and who is the primary audience?
    pass
    AI did not name 6551Team/opennews-mcp — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

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6551Team/opennews-mcp — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite