Automate workflows and connect AI agents to Perplexity. Metorial is built for developers. Handling OAuth, compliance, observability, and more.
The Perplexity integration lets you search the web and access real-time information directly through AI-powered queries, bringing current answers and citations into your workflow.
Metorial has 600+ integrations available. Here are some related ones you might find interesting.
The Exa integration lets you perform semantic searches across the web and retrieve high-quality content directly within your workflows, enabling AI agents to find and access relevant information from billions of web pages in real-time.
The Hackernews integration lets you fetch and analyze stories, comments, and user data from Hacker News directly within your workflow, enabling you to track trending topics, monitor discussions, and gather insights from the tech community.
The Supabase integration lets you query and manipulate your database tables, manage authentication, and interact with storage buckets directly from your AI assistant. Use it to build applications, analyze data, or automate database operations without leaving your workflow.
The Google Calendar integration lets you view, create, update, and manage calendar events directly from your workflow, enabling seamless scheduling and calendar management without switching applications.
The GitHub integration lets you search and view repositories, manage issues and pull requests, read file contents, and interact with your GitHub account directly from your workspace.
The Brave integration lets you perform web searches using Brave Search directly from Claude, allowing you to retrieve up-to-date information, news, and web results without leaving your conversation.
The Hugging Face integration lets you search and explore models, datasets, and Spaces directly from your development environment, making it easy to discover the right pre-trained models and resources for your machine learning projects.
The Tavily integration lets you perform AI-optimized web searches and retrieve real-time information directly within your workflow, enabling your AI assistant to access current data and research capabilities for answering questions and gathering insights.
The Neon integration lets you manage your serverless Postgres databases directly through AI conversations, enabling you to create projects, query database schemas, execute SQL commands, and monitor database usage without leaving your workflow.
Metorial helps you connect AI agents to Perplexity with various tools and resources. Tools allow you to interact with perform specific actions, while resources provide read-only access to data and information.
Find guides and articles to help you get started with Perplexity on Metorial.
Perplexity
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Perplexity
A powerful Model Context Protocol (MCP) server that integrates Perplexity's advanced AI capabilities into your workflow. This server provides access to Perplexity's conversational AI, deep research, reasoning models, and web search API, enabling you to perform sophisticated queries, conduct comprehensive research, and access up-to-date information with citations. Perfect for developers and teams who need intelligent search and analysis capabilities integrated directly into their applications.
The Perplexity MCP Server bridges the gap between your applications and Perplexity's suite of AI-powered tools. Whether you need quick answers with sources, deep research on complex topics, logical reasoning for problem-solving, or structured web search results, this server provides a unified interface to access all of Perplexity's capabilities through the Model Context Protocol.
Engages in conversations using Perplexity's Sonar API. This tool allows you to have natural language conversations while automatically receiving citations for the information provided.
Parameters:
messages (required): An array of conversation messages
role (string): The role of the message sender (e.g., "system", "user", "assistant")content (string): The actual content of the messageUse Cases:
Performs comprehensive deep research using Perplexity's specialized research model. This tool is designed for complex topics that require thorough investigation and analysis.
Parameters:
messages (required): An array of conversation messages
role (string): The role of the message sender (e.g., "system", "user", "assistant")content (string): The actual content of the messageUse Cases:
Executes reasoning tasks using Perplexity's sonar-reasoning-pro model. This tool excels at logical analysis, problem-solving, and tasks requiring structured thinking.
Parameters:
messages (required): An array of conversation messages
role (string): The role of the message sender (e.g., "system", "user", "assistant")content (string): The actual content of the messageUse Cases:
Performs structured web searches using Perplexity's Search API. Returns ranked results with comprehensive metadata, making it ideal for programmatic search integration.
Parameters:
query (required, string): The search query stringcountry (optional, string): ISO 3166-1 alpha-2 country code for regional results (e.g., "US", "GB")max_results (optional, number): Maximum number of results to return, between 1 and 20 (default: 10)max_tokens_per_page (optional, number): Maximum tokens to extract per webpage, between 256 and 2048 (default: 1024)Use Cases:
The Perplexity MCP Server provides structured access to various types of data through resource templates. These templates allow you to retrieve and reference specific information in a consistent way.
Access detailed results from a specific search query.
URI Format: search-result://{query}
This resource provides access to the complete results of a search operation, including all returned pages, snippets, and metadata. Useful for reviewing past searches or building search history functionality.
Access a specific conversation thread with all messages.
URI Format: conversation://{conversationId}
Retrieve complete conversation histories, including all messages exchanged in a particular conversation session. Perfect for building conversation management systems or reviewing past interactions.
Access detailed information about a specific citation or source.
URI Format: citation://{citationUrl}
Fetch comprehensive details about sources cited in responses, including full URLs, metadata, and context. Essential for fact-checking and source verification workflows.
Access a completed research task with all findings and citations.
URI Format: research://{topic}
Retrieve comprehensive research results on a specific topic, including all findings, sources, and analysis. Ideal for building knowledge bases or research repositories.
The Perplexity MCP Server offers several key advantages for developers and organizations:
Unified Interface: Access all of Perplexity's capabilities through a single, standardized protocol, reducing integration complexity and maintenance overhead.
Citation Tracking: Automatic source citation across all tools ensures transparency and enables fact-checking, critical for applications requiring verifiable information.
Flexible Integration: The MCP protocol allows seamless integration with various applications and workflows, from chatbots to research tools to automated analysis systems.
Scalable Search: Configurable search parameters let you balance between broad discovery and focused results, adapting to different use cases and performance requirements.
Resource Management: Structured resource templates provide organized access to historical data, making it easy to build features like search history, conversation replay, and source management.
To begin using the Perplexity MCP Server, you'll need to understand how each tool fits your use case. For quick questions and interactive conversations, use perplexity_ask. When you need comprehensive analysis of complex topics, perplexity_research provides deep insights with extensive citations. For logical problem-solving and analytical tasks, perplexity_reason offers structured thinking capabilities. And when you need programmatic access to web search with structured results, perplexity_search delivers ranked results with full metadata.
Each tool accepts messages in a conversational format, allowing you to provide context and follow-up questions naturally. The server handles citation management automatically, so you always have access to sources for verification and further reading.
When using the Perplexity MCP Server, consider these recommendations for optimal results:
perplexity_ask for general queries and conversational interactionsperplexity_research for complex topics requiring thorough investigationperplexity_reason when you need logical analysis or problem-solvingperplexity_search for structured data collection and programmatic searchcountry parameter in searches when regional relevance mattersmax_results and max_tokens_per_page based on your performance and detail requirementsLet's take your AI-powered applications to the next level, together.
Metorial provides developers with instant access to 600+ MCP servers for building AI agents that can interact with real-world tools and services. Built on MCP, Metorial simplifies agent tool integration by offering pre-configured connections to popular platforms like Google Drive, Slack, GitHub, Notion, and hundreds of other APIs. Our platform supports all major AI agent frameworks—including LangChain, AutoGen, CrewAI, and LangGraph—enabling developers to add tool calling capabilities to their agents in just a few lines of code. By eliminating the need for custom integration code, Metorial helps AI developers move from prototype to production faster while maintaining security and reliability. Whether you're building autonomous research agents, customer service bots, or workflow automation tools, Metorial's MCP server library provides the integrations you need to connect your agents to the real world.