MCP Perplexity Search
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- -licenseBqualityNot gradedmaintenanceAutomates the creation of standardized documentation by extracting information from source files and applying templates, with integration capabilities for GitHub, Google Drive, and Perplexity AI.33-
- -licenseNot gradedqualityNot gradedmaintenanceEnables AI assistants to generate professional documentation using structured templates based on the POWER framework. Provides access to standardized templates for README, architecture, API, components, and schema documentation.-
- AlicenseBqualityDmaintenanceEnables intelligent code analysis and debugging through the Perplexity AI's API, offering detailed error analysis, pattern detection, and comprehensive solutions, with integration support for the Claude desktop client.1988 npm13MIT
- AlicenseAqualityBmaintenanceProvides 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.436,947 npmMIT
- AlicenseNot gradedqualityDmaintenanceProvides LLMs with up-to-date, version-specific documentation and code examples from library sources directly into prompts, eliminating outdated code generation and hallucinated APIs.1,132,952 npmMIT
- AlicenseAqualityDmaintenanceProvides up-to-date, version-specific documentation and code examples for libraries and frameworks directly into AI prompts, eliminating outdated code generation and hallucinated APIs.21,132,952 npmMIT
TDQS
Scored across 1 tool
With only one tool, there is no possibility of ambiguity or overlap between tools. The single tool's purpose is clearly defined as generating chat completions using the Perplexity API, leaving no room for misselection.
Since there is only one tool, naming consistency is inherently perfect. The tool name 'chat_completion' follows a clear verb_noun pattern, and there are no other tools to compare or create inconsistencies with.
A single tool is generally too few for a server's purpose, as it limits functionality and may indicate an incomplete or overly narrow scope. While it could be appropriate for a very simple service, it often feels thin and lacks the breadth needed for typical agent workflows.
The tool provides a core function for chat completions, but with only one tool, the surface is notably incomplete. There are obvious gaps, such as missing operations for managing conversations, handling different models, or supporting related search functionalities, which could hinder agent performance in broader tasks.