RRepoGEO

REPOGEO REPORT · LITE

wong2/awesome-mcp-servers

Default branch main · commit 6838325c · scanned 6/22/2026, 8:08:09 AM

GitHub: 4,180 stars · 1,520 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
22 /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
1 / 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 wong2/awesome-mcp-servers, 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
  • highreadme#1
    Reposition the README H1 to explicitly define MCP

    Why:

    CURRENT
    # Awesome MCP Servers
    COPY-PASTE FIX
    # Awesome Model Context Protocol (MCP) Servers
  • hightopics#2
    Add relevant topics to the repository

    Why:

    COPY-PASTE FIX
    model-context-protocol, mcp, ai, llm, data-api, real-time-data, financial-data, agent-optimization
  • mediumreadme#3
    Add a concise introductory paragraph to the README

    Why:

    COPY-PASTE FIX
    This is a curated list of servers implementing the Model Context Protocol (MCP), designed to provide real-time data and contextual information for AI models and agents. Discover services for financial market data, web data, AI engineering tasks, and more.

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 wong2/awesome-mcp-servers
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Redis Enterprise
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Redis Enterprise · recommended 1×
  2. RedisJSON · recommended 1×
  3. RediSearch · recommended 1×
  4. Amazon DynamoDB · recommended 1×
  5. Google Cloud Firestore · recommended 1×
  • CATEGORY QUERY
    Where can I find services to provide real-time data context for my AI models?
    you: not recommended
    AI recommended (in order):
    1. Redis Enterprise
    2. RedisJSON
    3. RediSearch
    4. Amazon DynamoDB
    5. Google Cloud Firestore
    6. Confluent Cloud
    7. Apache Kafka
    8. DataStax Astra DB
    9. Apache Cassandra
    10. MongoDB Atlas
    11. MongoDB

    AI recommended 11 alternatives but never named wong2/awesome-mcp-servers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What platforms offer financial market data APIs for AI agent integration?
    you: not recommended
    AI recommended (in order):
    1. Polygon.io
    2. Alpaca Markets
    3. Intrinio
    4. EOD Historical Data
    5. Twelve Data
    6. Quandl (now part of Nasdaq Data Link)
    7. Refinitiv Eikon / Workspace (formerly Thomson Reuters Eikon)

    AI recommended 7 alternatives but never named wong2/awesome-mcp-servers. 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 wong2/awesome-mcp-servers?
    pass
    AI did not name wong2/awesome-mcp-servers — 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?

  • If a team adopts wong2/awesome-mcp-servers in production, what risks or prerequisites should they evaluate first?
    pass
    AI named wong2/awesome-mcp-servers 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 wong2/awesome-mcp-servers solve, and who is the primary audience?
    pass
    AI did not name wong2/awesome-mcp-servers — 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?

Embed your GEO score

Drop this badge into the README of wong2/awesome-mcp-servers. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/wong2/awesome-mcp-servers.svg)](https://repogeo.com/en/r/wong2/awesome-mcp-servers)
HTML
<a href="https://repogeo.com/en/r/wong2/awesome-mcp-servers"><img src="https://repogeo.com/badge/wong2/awesome-mcp-servers.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

wong2/awesome-mcp-servers — 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
wong2/awesome-mcp-servers — RepoGEO report