RRepoGEO

REPOGEO REPORT · LITE

wong2/awesome-mcp-servers

Default branch main · commit d589dba2 · scanned 5/12/2026, 1:58:00 AM

GitHub: 4,053 stars · 1,269 forks

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

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

OVERALL DIRECTION
  • highreadme#1
    Add a clear definition of 'Model Context Protocol (MCP) servers' to the README

    Why:

    CURRENT
    > [!NOTE]
> We do not accept PRs. Please submit your MCP on the website: https://mcpservers.org/submit
    COPY-PASTE FIX
    A curated list of servers implementing the Model Context Protocol (MCP), designed to provide structured, real-time data and services for AI agents and applications. This repository helps developers discover and integrate various MCP servers for tasks like web content fetching, file operations, and financial data access. 

> [!NOTE]
> We do not accept PRs. Please submit your MCP on the website: https://mcpservers.org/submit
  • mediumreadme#2
    Add a section explaining 'What is Model Context Protocol (MCP)?'

    Why:

    COPY-PASTE FIX
    ## What is Model Context Protocol (MCP)?

The Model Context Protocol (MCP) is a standardized way for AI agents and applications to access external, real-time context and services. MCP servers provide structured data streams, tools, and APIs that allow AI models to interact with the real world, fetch information, perform actions, and enhance their decision-making capabilities beyond their training data. This protocol enables AI to be more dynamic, informed, and integrated into various ecosystems, from financial analysis to web automation.

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
Gong.io
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. Gong.io · recommended 1×
  2. Chorus.ai · recommended 1×
  3. Twilio Segment · recommended 1×
  4. Amplitude · recommended 1×
  5. Mixpanel · recommended 1×
  • CATEGORY QUERY
    Looking for services that offer contextual data streams for AI model integration.
    you: not recommended
    AI recommended (in order):
    1. Gong.io
    2. Chorus.ai
    3. Twilio Segment
    4. Amplitude
    5. Mixpanel
    6. Salesforce
    7. Zendesk

    AI recommended 7 alternatives but never named wong2/awesome-mcp-servers. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are the options for getting external context into my AI agent's decision-making?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Pinecone
    4. Weaviate
    5. Chroma
    6. Elasticsearch
    7. OpenSearch
    8. requests
    9. fetch

    AI recommended 9 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

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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