"Travel Planning Assistant for Routes, Hotels, Flights, Attractions, and Transportation" matching MCP servers:

AI travel agent over MCP — live flights, hotels, activities, and events worldwide, then completes the booking on autonomad.ai.

MCP server for step-by-step mathematical reasoning and planning, enabling AI agents to execute calculations and perform GUI actions like opening PowerPoint.

Facilitates interactive software development planning by managing tasks, tracking progress, and creating detailed implementation plans through the Model Context Protocol.

Transforms high-level business intents into structured Data Product Requirement Prompts through AI-powered conversational refinement. Guides users through clarifying questions to gather comprehensive requirements for automated Business Intelligence dashboard generation.

Full autonomous project management MCP server enabling AI assistants to manage projects, sprints, tasks, bugs, proposals, and team collaboration via natural language.

Enables an assistant to visually monitor a selected desktop window through screenshots and perform mouse and keyboard actions, with visual feedback for each step.

Enables building and evaluating LangGraph agents over a protocol-level MCP server to measure failure rates across four agent topologies.

A Model Context Protocol (MCP) integration that allows AI assistants to control Home Assistant devices by searching for entities and controlling devices through natural language commands.

Enables interaction with OpenAI's Chat Completion and Assistants APIs, supporting assistant management, file operations, and direct queries to GPT models through standardized MCP tools.

An AI-centric MCP server that enables automated Xilinx Vivado workflows, including project management, synthesis, implementation, and timing analysis. It allows AI agents to drive hardware design processes while integrating directly with the official Vivado GUI for visual context.

Assists AI developers with intelligent requirement analysis and architecture design through guided clarification questions, branch-aware management, and automated architecture generation with persistent storage.

Provides a hand-written MCP server integrated with a LangGraph agent to benchmark multiple agent topologies and measure their failure rates.

An MCP server that allows users to define custom tools via a configuration file for tasks such as retrieving project architecture and managing task lists. It also includes a plugin for generating structured and optimized AI prompts based on specific context sections and instructions.

Expose all Home Assistant voice intents through a Model Context Protocol Server allowing home control.

Provides structured task planning and tracking capabilities with 40 tools for managing requirements, solutions, architectural decisions, and hierarchical implementation phases with progress tracking.

Enables users to autonomously check calendar availability, discover movie showtimes, and securely book tickets with OTP-protected transactions.

MCP server that processes car insurance claims by extracting structured data from raw accident reports, classifying severity using a two-model judge pipeline, and generating broker notifications.

Enables AI-powered research by breaking a topic into subtopics, gathering information via agents, and compiling a report. Integrates with LangGraph and RAG for orchestration and contextual retrieval.

Integrates Google's Gemini AI models into Claude Code and other MCP clients to provide second opinions, code comparisons, and token counting. It supports streaming responses and multi-turn conversations directly within your existing AI development workflow.

Enables AI agents to break down complex tasks into manageable pieces using a structured JSON format with task tracking, context preservation, and progress monitoring capabilities.