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Integrates Perplexity AI's chat capabilities with real-time web search, enabling users to ask questions and receive AI-powered answers with up-to-date information and citations from verified web sources.

Integrates with Perplexity's API to provide web search and AI-powered answers with citations. Offers a three-tier research workflow: search for sources, ask for grounded AI answers, and ask_more for deeper analysis using advanced models.

Enables 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.

A Python port of the official Perplexity MCP server that enables web-grounded Q\&A, deep research, and step-by-step reasoning via Perplexity AI's models. It supports both STDIO and HTTP interfaces for seamless integration with tools like Claude Desktop and Cursor.

Enables comprehensive personal task management through specialized MCP servers including email sending, PDF reading with OCR, web search, meeting scheduling, pizza ordering, and interactive question handling. Provides a unified chat interface for natural language interaction with all these capabilities.

Enables managing personal information with dynamic topic-based organization (tasks, meetings, contacts, etc.), supporting optional OTP authentication and AES-256 encryption for sensitive data with automatic backups.

Enables searching and retrieving detailed information about Swedish companies, including financial data and annual reports from Bolagsverket (Swedish Companies Registration Office), with intelligent caching for fast responses.

Enables agentic coding workflows in Claude Code through a multi-candidate patch evaluation loop that generates code variants, validates builds, scores results with mandatory vision testing, and automatically selects the best implementation.

Enables natural language querying of PostgreSQL databases through the Model Context Protocol. It translates user questions into validated SQL, executes read-only queries safely, and returns results to MCP-compatible clients like Claude Desktop.

Enables AI agents to make real-world phone calls with AI voice technology and provides tools to track call status, transcripts, and summaries. It supports automated communication with both live numbers and simulated businesses for testing and demonstration purposes.

Enables AI assistants to programmatically generate images, GIFs, and PDFs from HTML/CSS or web screenshots using the Pictify API. It also supports template management, batch rendering jobs, and A/B test experiment controls.

Provides real-time access to Israeli emergency alerts from the official Pikud Haoref (Home Front Command) API. Enables AI assistants to check current alerts, retrieve alert history with intelligent city filtering, and monitor emergency notifications including rocket alerts, aerial intrusions, and earthquakes.

Enables interaction with Pinecone vector databases for storing and searching embeddings. Supports similarity search, metadata filtering, and vector operations for semantic search and RAG applications.

Enables AI assistants to perform semantic search, manage vectors, and interact with Pinecone vector databases through standardized MCP tools. Supports querying, upserting, deleting vectors and monitoring database statistics for knowledge base operations.

Enables AI agents to schedule and manage reminders across platforms like email, Slack, Discord, and webhooks. It provides tools to create, list, update, and cancel notifications to automate task reminders and agent wake-ups.

Enables AI assistants to search for and retrieve images, illustrations, and videos directly from Pixabay. It provides specialized tools for discovering diverse media content like photos and animations using the Pixabay API.

MCP server for Plainly Videos that allows browsing designs and projects, as well as rendering videos.

An MCP server for the Plane project management platform that enables users to manage workspaces, projects, and work items. It supports full CRUD operations for issues while providing access to cycles, modules, labels, and workflow states.

Converts a plain-english goal into a structured plan document: Gantt chart, risk, stakeholders, SWOT, and role descriptions. A detailed first draft - expect to verify budgets and timelines before use.

An MCP server that uses Google Gemini AI to analyze requirements, create project plans, review code quality, and provide execution analysis feedback for software development projects.