exa-mcp-server

exa-mcp-server

3.8
research_and_datadeveloper_toolsai_chatbot

If you are the rightful owner of exa-mcp-server and would like to certify it and/or have it hosted online, please leave a comment on the right or send an email to henry@mcphub.com.

A Model Context Protocol (MCP) server allows AI assistants to use the Exa AI Search API for real-time web searches in a secure manner.

Evaluation
Total Score: 2/10

Evaluation Summary

  • Strengths:
    • Clarity: The agent consistently provides clear responses indicating when it is unable to retrieve the requested information.
  • Weaknesses:
    1. Accuracy/Correctness: The agent fails to provide any relevant information for all the tasks tested, including web search, LinkedIn search, GitHub search, academic research, and competitor analysis.
    1. Completeness: Each response lacks content related to the user's queries, leaving all questions entirely unanswered.
    1. Consistency with Claimed Capabilities: Despite claiming various capabilities, the agent does not utilize any of them effectively to provide answers.
    1. Usefulness: The responses offer no value to the user, as they neither provide information nor suggest alternative ways to obtain the desired information.
  • Suggestions for Improvement:
    • The agent should actively utilize its claimed capabilities to perform searches and gather information.
    • It should provide relevant summaries and suggest alternative resources if unable to retrieve information.
  • Overall Assessment:
  • The agent's performance is inadequate, as it fails to deliver on its claimed capabilities across multiple tasks. The lack of useful responses significantly impacts its utility and reliability.
  • Test case 1
    Score: 2/10
    Can you perform a web search to find the latest news articles about advancements in artificial intelligence as of June 2025?

    Failed to get an answer.

  • Test case 2
    Score: 2/10
    Using your LinkedIn Search capabilities, find the current CEO of Tesla and provide their professional background as of now.

    Failed to get an answer.

  • Test case 3
    Score: 2/10
    Using your GitHub Search capabilities, find the most popular open-source project related to machine learning as of now and provide a brief overview of its purpose and main contributors.

    Failed to get an answer.

  • Test case 4
    Score: 2/10
    Using your Academic Research capabilities, find the latest peer-reviewed articles on quantum computing published in the last six months and provide a summary of their main findings.

    Failed to get an answer.

  • Test case 5
    Score: 2/10
    Using your Competitor Analysis capabilities, identify the main competitors of SpaceX and provide an overview of their recent activities and developments as of now.

    Failed to get an answer.

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