RRepoGEO

REPOGEO REPORT · LITE

perplexityai/modelcontextprotocol

Default branch main · commit dd5e0785 · scanned 5/17/2026, 2:02:48 AM

GitHub: 2,198 stars · 324 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
35 /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
3 / 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 perplexityai/modelcontextprotocol, 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 specific topics to improve categorization

    Why:

    COPY-PASTE FIX
    ["ai-assistants", "llm-tools", "web-search", "reasoning", "research", "model-context-protocol", "perplexity-api", "server-implementation"]
  • highreadme#2
    Reposition the README's opening statement for clarity

    Why:

    CURRENT
    The official MCP server implementation for the Perplexity API Platform, providing AI assistants with real-time web search, reasoning, and research capabilities through Sonar models and the Search API.
    COPY-PASTE FIX
    The Model Context Protocol (MCP) Server is the official Perplexity API Platform implementation, enabling AI assistants with real-time web search, reasoning, and research tools via Sonar models and the Search API.
  • mediumabout#3
    Enhance the 'About' section description

    Why:

    CURRENT
    The official MCP server implementation for the Perplexity API Platform
    COPY-PASTE FIX
    The official Model Context Protocol (MCP) server implementation for the Perplexity API Platform, providing AI assistants with real-time web search, reasoning, and research tools.

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 perplexityai/modelcontextprotocol
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Brave Search API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Brave Search API · recommended 2×
  2. SerpApi · recommended 1×
  3. Serper.dev · recommended 1×
  4. Microsoft Bing Web Search API · recommended 1×
  5. DuckDuckGo API · recommended 1×
  • CATEGORY QUERY
    How can I integrate real-time web search capabilities into my AI assistant?
    you: not recommended
    AI recommended (in order):
    1. SerpApi
    2. Serper.dev
    3. Microsoft Bing Web Search API
    4. Brave Search API
    5. DuckDuckGo API
    6. You.com API
    7. Perplexity AI API

    AI recommended 7 alternatives but never named perplexityai/modelcontextprotocol. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What tools allow large language models to perform external web research and reasoning?
    you: not recommended
    AI recommended (in order):
    1. LangChain
    2. LlamaIndex
    3. Auto-GPT
    4. BabyAGI
    5. OpenAI's Function Calling
    6. Google's Gemini
    7. Serper API
    8. Google Search API
    9. Brave Search API
    10. You.com
    11. Tavily AI

    AI recommended 11 alternatives but never named perplexityai/modelcontextprotocol. 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 perplexityai/modelcontextprotocol?
    pass
    AI named perplexityai/modelcontextprotocol explicitly

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

  • If a team adopts perplexityai/modelcontextprotocol in production, what risks or prerequisites should they evaluate first?
    pass
    AI named perplexityai/modelcontextprotocol 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 perplexityai/modelcontextprotocol solve, and who is the primary audience?
    pass
    AI named perplexityai/modelcontextprotocol explicitly

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

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perplexityai/modelcontextprotocol — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

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  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite