Canvas MCP is a set of tools that enables AI agents to interact with Canvas LMS and Gradescope, providing functions such as course resource query and assignment management.

Houtini LM is an MCP server that connects Claude to LM Studio, providing expert - level code analysis, document generation, and creative project scaffolding functions. It supports local operation without API costs and is suitable for developers and creators.

An MCP server tool that connects Claude with large language models running in local LM Studio

LMStudio-MCP is a model control protocol server used to establish a communication bridge between Claude and the locally running LM Studio LLM models, enabling functions such as model health check, list retrieval, and text generation.

The Local MCP Tools Collection aims to simplify the integration of multi - functional tools for local large language models, supporting multiple MCP servers through a single virtual environment, including web search, Python sandbox, and long - term memory functions.

Claude-LMStudio-Bridge is an MCP server that connects Claude with large language models running locally through LM Studio, supporting two-way communication and model comparison.

LMStudio - MCP is a model control protocol server that enables Claude to interact with locally running LM Studio models.

A micro MCP server designed for LM Studio, providing URL text and link crawling functions

GeminiMcpServer is an MCP server that connects LM Studio with the Google Gemini API, supporting image generation and multimodal task processing.

An OpenDSS power system simulation server based on the MCP protocol, supporting power system analysis and operation through LLM interaction

The Canvas LMS MCP server is a bridge connecting an AI system and the Canvas Learning Management System, providing access to educational data such as courses, assignments, and quizzes.

The Flow MCP Server is a model context protocol server designed for the Flow blockchain, providing standardized interfaces for blockchain data access and operations, and supporting functions such as balance query, domain name resolution, script execution, and transaction submission.

A modern MCP server based on the FastMCP framework, providing URL text fetching, web link extraction, and Brave search functions, supporting MCP-compatible clients such as LM Studio.

This is a Python - based MCP server project that provides a tool for AI models such as LM Studio to securely access local CSV and Parquet data, supporting data analysis and processing functions.

The Canvas LMS MCP server provides an API interface for students to access Canvas LMS resources.