QueryWeaver is an open - source Text2SQL tool that converts natural language questions into SQL queries through graph - driven schema understanding, supporting REST API and MCP protocol.

Mianshiya MCP Server is an interview question search service compatible with the MCP protocol. It is integrated through the Java SDK, supports multiple intelligent agent assistants to quickly access, and provides question retrieval functions.

The MCP Server for Deep Research is a tool designed for researching complex topics, providing a complete research process from question refinement, sub - question generation to report writing, helping users systematically explore questions and generate structured reports.

An MCP server that provides access to the WolframAlpha LLM API, supporting natural language queries for questions in multiple fields such as math and science

Gauntlet - Incept is a system for generating high - quality educational content for students in grades K - 8, providing customized generation, annotation, and scoring functions for articles and question banks, including REST API and MCP services.

rag - mcp is an over - designed retrieval - augmented generation system that provides multiple text search modes (semantic search, question - answer search, style search) through a Python server. It uses PostgreSQL and pgvector to store text embedding vectors, supports interaction with AI agents, and has a complex but scalable architecture.

The Multi-Model Advisor is a multi - model consulting server based on Ollama, which provides more comprehensive answers to questions by integrating the viewpoints of multiple AI models.

Changesets is a build tool for managing versions and releases in multi - package or single - package codebases, automatically generated by @changesets/cli, providing documentation and support for frequently asked questions.

This project builds an HR chatbot based on RAG. The MCP server serves as the functional call center to implement PDF document upload, parsing, retrieval, and natural language question answering functions.

A developer helper tool named COCO that provides code review and pair programming assistance functions, and can help developers improve code quality through questions.

SQLGenius is an AI - based SQL assistant that converts user questions into SQL queries through natural language processing technology, supports BigQuery database operations, and provides interactive data visualization and schema exploration functions.

An embedded vector search server based on the MCP protocol for querying transcribed segments and embedded vectors in the Turso database. It supports searching for relevant segments by question.

This project builds a Retrieval Augmented Generation (RAG) server based on IBM Watsonx.ai, uses ChromaDB for vector indexing, and exposes interfaces through the Model Context Protocol (MCP). The system can process PDF documents and answer questions based on the document content, realizing an intelligent question answering function that combines large language models with specific domain knowledge.

Cortex MCP is a model context protocol server that provides access to the Cortex API and uses workspace-related context to enhance the accuracy of question answers.

An MCP server based on the OpenAI API knowledge base, built with TypeScript, supporting RAG technology, capable of answering technical questions and compatible with multiple client tools.

An AI service project that always returns the cute Japanese reply 'きつねかわいい！！！' when users ask questions about foxes.

Open Deep Research MCP Server is an AI - driven deep research assistant that conducts iterative deep research by combining search engines, web scraping, and AI technology to generate comprehensive reports. It supports two usage methods: MCP protocol and CLI, and has functions such as reliability assessment, scope control, and automatic generation of follow - up questions.

The Multi-Model Advisor is a multi - model consulting system based on Ollama. It provides more comprehensive answers to questions by integrating different perspectives from multiple AI models. It uses the 'advisory board' model, allowing Claude to generate responses by synthesizing multiple AI perspectives.

The Peacock MCP Server is an MCP server that provides services for the VS Code Peacock extension, mainly used to obtain information from the official documentation and answer relevant questions.

A TypeScript - based MCP server that integrates with the Metabase API, allowing AI assistants to access dashboards, questions, and database resources in Metabase and providing functions such as query execution.

A tool for crawling interview questions from the LeetCode discussion area, especially focusing on Google interview questions. It supports organizing data by month and exporting it to CSV and Google Sheets.

dank-mcp is a server based on the Model Context Protocol (MCP), specifically designed to answer questions about cannabis datasets. It stores and processes data through DuckDB, supports integration with LLM tools such as Claude Desktop, and provides a query service for cannabis product information for educational purposes.

Gauntlet-Incept is a system for generating high-quality educational content for K - 8 students, focusing on the personalized generation and evaluation of articles and question banks.

An MCP server that provides access to Astro documentation for AI agents, supporting document retrieval and frequently asked questions

A prototype of a knowledge service MCP server based on the Neo4J database that can extract knowledge from Neo4J to answer questions and support use through clients such as Cursor.

Mianshiya MCP Server is an interview question search API service compatible with the MCP protocol, allowing intelligent agent assistants to quickly access and retrieve interview questions.

Gamemaster MCP is an AI-assisted Dungeons & Dragons (D&D) game management server built on FastMCP, providing complete campaign management, character control, NPC interaction, map building, and quest tracking functions, supporting multiplayer collaboration and single-player immersive gaming experiences.

Tarkov MCP Server is a model context protocol service that provides game data for 'Escape from Tarkov' through the tarkov.dev GraphQL API, including data access functions for 19 types of tools such as items, traders, maps, and quests.

Changesets is a build tool for managing versions and releases of multi - package or single - package codebases. It is automatically generated by @changesets/cli and provides documentation and support for frequently asked questions.

An MCP server that connects to the Google Calendar API and handles schedule and event - related questions through natural language queries.

The project uses TypeScript and Node.js to develop an MCP server and integrates the LLM Studio API to optimize question answering, supporting dynamic prompt optimization

This project implements a Flask server integrated with EduChain, providing dynamic educational content generation functions for Claude Desktop through a REST API, including multiple-choice questions, lesson plans, and flashcards.

This project is a server that implements the Model Context Protocol (MCP) specification. It serves as a bridge for MCP clients (such as Claude Desktop) to interact with Google's Gemini AI models through a standardized interface. It supports multiple Gemini models and function calls, provides tools such as single - question asking, multi - round conversations, and function calls, and can be deployed locally or via Docker.

Based on the implementation of Anthropic's Model Context Protocol, create, update, read, and summarize the notes.txt file through the Claude desktop application, and use the content of this file as context to answer questions.

The MCP Perplexity Server is a server that provides an API interface for asking questions to the model through the Perplexity API. It supports rapid Docker deployment and local Node.js operation, and multiple parameters can be configured.

An MCP server based on Node.js that converts natural language questions into SQL queries through AI, supports multiple databases, and provides intelligent analysis and secure query execution.

The SurveyMars MCP service is an officially provided server for interacting with the SurveyMars survey platform API, supporting the creation, distribution, and analysis of survey questionnaires through MCP clients.

An MCP server based on Spring Boot and Spring AI for managing the database of interview questions, providing create, read, update and delete functions, and supporting filtering questions by category.

The Tally MCP Server is a model context protocol server that provides comprehensive support for Tally form management. It includes 23 powerful tools and supports the management of forms, submissions, questions, webhooks, and enterprise-level conditional logic. It can be directly operated through Claude Desktop.

This project includes an MCP server, an MCP client (proxy), a supporting question set, and a notebook for running the client. Related articles discuss the comparison between while loops and Perplexity and the development process of the MCP server.