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perplexityai

Perplexity API Platform MCP Server

by perplexityai

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    • A
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      B
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      Provides AI assistants with real-time web search, reasoning, and research capabilities through Perplexity's Agent API and Search API, enabling tools for search, conversational Q&A, deep research, and advanced reasoning.
      4
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    • A
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      Enables AI assistants to perform web searches and retrieve real-time information using Perplexity AI's Sonar models, with support for multiple search modes and easy integration with MCP clients.
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    • A
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      quality
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      Provides AI-powered search, research, and reasoning capabilities through integration with Perplexity.ai, offering three specialized tools: general conversational AI, deep research with citations, and advanced reasoning.
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    TDQS

    A3.8/5.0

    Scored across 4 tools

    Disambiguation4/5

    The tools are mostly distinct with clear primary purposes: 'ask' for general conversation, 'reason' for reasoning tasks, 'research' for deep research with citations, and 'search' for web search results. However, 'ask' and 'reason' could be confused as both involve chat completions with similar inputs, potentially leading to misselection in ambiguous scenarios.

    Naming Consistency5/5

    All tool names follow a consistent 'perplexity_' prefix with descriptive suffixes (ask, reason, research, search), using snake_case uniformly. This predictable pattern makes it easy for an agent to understand and navigate the tool set without confusion.

    Tool Count5/5

    With 4 tools, the count is well-scoped for a server focused on interacting with the Perplexity API. Each tool serves a distinct function (conversation, reasoning, research, search), and there are no redundant or unnecessary tools, making the set efficient and appropriate for the domain.

    Completeness4/5

    The tool set covers core functionalities of the Perplexity API, including general chat, reasoning, research, and web search, which aligns well with the server's purpose. A minor gap is the lack of tools for managing conversations (e.g., clearing history or handling follow-ups), but agents can work around this using the provided message arrays.

    Maintenance

    ActivityMaintained
    ResponsivenessUnresponsive