RRepoGEO

REPOGEO REPORT · LITE

exa-labs/exa-mcp-server

Default branch main · commit 1ef463ba · scanned 5/15/2026, 9:23:27 AM

GitHub: 4,432 stars · 334 forks

AI VISIBILITY SCORE
40 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
2 pass · 0 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 exa-labs/exa-mcp-server, 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 README's opening to clarify 'MCP' and project purpose

    Why:

    CURRENT
    # Exa MCP Server
    
    Connect AI assistants to Exa's search capabilities: web search, code search, and company research.
    COPY-PASTE FIX
    # Exa MCP Server (Model Context Protocol)
    
    Connect AI assistants to Exa's powerful search capabilities—including real-time web search, code search, and company research—via the Model Context Protocol (MCP). This project provides the server implementation for integrating Exa's search with your AI agents, enabling them to perform advanced information retrieval and augment their context with real-time data. It is unrelated to Minecraft.
  • mediumtopics#2
    Add AI-specific topics

    Why:

    CURRENT
    code-search, codesearch, crawling, mcp, mcp-server, model-context-protocol, web-search, websearch
    COPY-PASTE FIX
    code-search, codesearch, crawling, mcp, mcp-server, model-context-protocol, web-search, websearch, ai-agents, llm-tools, ai-search, real-time-search, external-knowledge
  • mediumreadme#3
    Add a 'Key Features for AI Agents' section to the README

    Why:

    COPY-PASTE FIX
    Add a new section, e.g., after 'Installation', with a heading like '## Key Features for AI Agents' and list points such as:
    *   **Real-time Web Search:** Provide your AI with up-to-the-minute information from the internet.
    *   **Comprehensive Code Search:** Enable AI to find and understand code snippets across various repositories.
    *   **Company Research:** Equip AI with tools for in-depth company and market analysis.
    *   **Seamless Integration:** Easy setup with popular AI assistants like Cursor, VS Code, and Claude.
    *   **Model Context Protocol (MCP):** Standardized interface for connecting external tools to LLMs.

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 exa-labs/exa-mcp-server
Avg rank
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Bing Web Search API
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Bing Web Search API · recommended 2×
  2. Google Search API · recommended 1×
  3. SerpAPI · recommended 1×
  4. Serper.dev · recommended 1×
  5. DuckDuckGo API · recommended 1×
  • CATEGORY QUERY
    How to give my AI agent real-time web and code search access?
    you: not recommended
    AI recommended (in order):
    1. Google Search API
    2. SerpAPI
    3. Serper.dev
    4. Bing Web Search API
    5. DuckDuckGo API
    6. `duckduckgo_search` Python library
    7. GitHub API
    8. Sourcegraph API
    9. Stack Overflow API
    10. Phind.com API

    AI recommended 10 alternatives but never named exa-labs/exa-mcp-server. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I enable my AI to perform web crawling and deep information retrieval?
    you: not recommended
    AI recommended (in order):
    1. Scrapy
    2. Requests
    3. Beautiful Soup 4
    4. Selenium WebDriver
    5. Playwright
    6. Apache Nutch
    7. Google Custom Search API
    8. Bing Web Search API
    9. SerpApi
    10. Bright Data SERP API

    AI recommended 10 alternatives but never named exa-labs/exa-mcp-server. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    pass

  • 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 exa-labs/exa-mcp-server?
    pass
    AI named exa-labs/exa-mcp-server explicitly

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

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

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

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  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
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