MCP JinaAI Reader Server

Integrates Jina.ai's Search API with LLMs via the Model Context Protocol to deliver fast, clean, and structured web search results optimized for language models, featuring configurable caching, token control, and support for diverse content types.

Integrates Jina.ai's Grounding API with LLMs via the Model Context Protocol to provide real-time, accurate web content grounding, fact-checking, and comprehensive content analysis for enhanced language model responses.

Integrates Tavily's search API with LLMs via the Model Context Protocol to deliver advanced web search, AI-generated summaries, domain filtering, context generation for RAG, and direct question answering with configurable parameters and response caching.

Integrates Perplexity's AI API with LLMs via the Model Context Protocol to deliver advanced chat completions featuring specialized prompt templates, customizable outputs, and configurable model parameters for technical documentation, code review, security analysis, and API documentation.

Enables AI agents to securely extract text, metadata, and page counts from PDFs within project contexts using a flexible, JSON-structured tool optimized for seamless Model Context Protocol integration.