The arXiv MCP Server is a service based on the Model Context Protocol (MCP) that allows users to interact with the arXiv API using natural language, enabling functions such as retrieving academic article metadata, downloading PDF files, searching the database, and loading articles into the context of a large - language model (LLM).

ngspice-mcp is an MCP protocol-based server that provides a standardized interface for AI language models to access ngspice circuit simulation capabilities, supporting operations such as circuit loading, simulation execution, and data acquisition.

An MCP server that provides OpenAPI specification interaction services for large language models, supporting loading, exploring, and querying API structures

A simplified MCP server based on the Chatterbox TTS model, providing text-to-speech generation and automatic playback functions, supporting real-time progress notifications and automatic model loading.

An MCP server for processing Building Information Modeling (BIM) files, providing functions for converting IFC files to Fragment format, loading Fragment files, and querying BIM data by category.

An MCP server that provides GraphQL schema exploration services for Large Language Models, supporting the loading, querying, and analysis of GraphQL schema files.

MCPML is a Python framework for building servers compliant with the Model Context Protocol (MCP), supporting CLI tools and OpenAI agent functions, and providing features such as dynamic loading and structured output.

QGIS MCP is a plugin that connects QGIS and Claude AI. It enables two-way communication through the Model Context Protocol, allowing AI to directly control QGIS for map project creation, layer loading, and processing algorithm execution.

The Financial Modeling Prep MCP Server is a financial data service that implements the Model Context Protocol (MCP), providing over 253 financial tools and covering 24 categories such as stock information, company fundamentals, and market analysis. It supports dynamic tool management, selective tool loading, and multiple configuration modes, providing comprehensive financial data access capabilities for AI assistants.

The 302AI Basic MCP Server is a toolkit that enhances the basic capabilities of large language models. It supports dynamically loading a list of remote tools, provides multiple usage modes (local stdin or remote HTTP service), and includes practical tools such as Wiki search, Arxiv search, calculator, and code execution.

A service based on the Model Context Protocol that provides Google PageSpeed Insights web page performance analysis functions, enabling AI models to evaluate web page loading performance through standardized interfaces.

The PBIXRay MCP Server is a Model Context Protocol (MCP) service provided for the Power BI file analysis tool PBIXRay. It exposes the functions of PBIXRay as tools and resources through the MCP protocol for LLM clients to interact with Power BI (.pbix) files. This service supports functions such as loading and analyzing PBIX files, exploring data models, accessing through query languages, and analyzing data structures, and available tools can be selected through configuration.

The Senechal MCP Server is a middleware that provides health data interfaces for LLM applications. It connects the Senechal API and language models through a standardized protocol, supporting resource loading, tool calls, and prompt template functions.