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Perplexity API Connector for Model Context Protocol (MCP)
A Model Context Protocol (MCP) connector enabling seamless access to Perplexity API's web search capabilities directly within the MCP ecosystem, enhancing AI model context with real-time online information.
JavaScript
Added on 2025年7月4日1,326
Stars176
ForksJavaScript
LanguageProject Introduction
Summary
This project develops a dedicated connector service that acts as a bridge between the Model Context Protocol (MCP) and the Perplexity API, specifically for leveraging Perplexity's web search functionality to augment AI model prompts with external knowledge.
Problem Solved
Integrating real-time, up-to-date information into AI model contexts within the MCP ecosystem can be complex. This connector solves this by providing a standardized way to fetch web search results via the powerful Perplexity API.
Core Features
MCP Compliance
Integrates directly with the Model Context Protocol specification for easy setup and communication.
Perplexity API Integration
Connects to the Perplexity API to execute web search queries programmatically.
Structured Result Formatting
Formats Perplexity API search results into a structured context format consumable by MCP-compliant models.
API Management
Handles API key management and request throttling for responsible API usage.
Tech Stack
Python
Flask
Requests
Model Context Protocol Libraries
使用场景
This connector is valuable in any scenario within the MCP ecosystem where models need access to current information from the web to provide accurate, relevant, or up-to-date responses.
Scenario 1: Real-time Data Augmentation for Reports
Details
An MCP agent assisting with report writing can use the connector to fetch the latest statistics, news, or market data on a given topic.
User Value
Ensures reports generated within MCP workflows are based on the most current information available.
Scenario 2: Enhancing Knowledge Retrieval
Details
An MCP-based research assistant can query the web for definitions, explanations, or summaries of complex concepts or recent events.
User Value
Provides immediate access to a vast external knowledge base, complementing internal model knowledge.
Scenario 3: Enriching Content Creation
Details
Within an MCP workflow for content creation, the connector can fetch facts, figures, or trending topics to enrich generated content.
User Value
Helps produce more informative, engaging, and timely content.
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