AI & ML

A comprehensive MCP server for Canvas LMS providing 54 tools for students, instructors, and account administrators to manage courses, assignments, grading, and institutional reporting.

MCP (Model Context Protocol) Server. Integrates with Deepseek R1 model for text generation and analysis tasks, enabling content creation and AI-assisted decision-making in various applications.

A lightweight and extensible Electronic Medical Record (EMR) editor kernel designed for healthcare, providing structured medical record editing and AI integration capabilities.

A personality layer for LLMs that uses the scientific Big Five engine to apply consistent, branded voices and behavioral traits across different AI platforms.

An experimental MCP server that enables fast, token-efficient querying and summarization of GitHub discussions, issues, and pull requests using a local database.

A specialized MCP server that integrates the Neo4j Graph Data Science (GDS) library to enable LLMs to execute complex graph algorithms and perform advanced reasoning on Neo4j databases.

An MCP server that provides real-time screen capture, AI vision analysis, and live streaming capabilities for UI automation and accessibility testing.

OmniMCP uses Microsoft OmniParser and Model Context Protocol (MCP) to provide AI models with rich UI context and powerful interaction capabilities.

A comprehensive MCP server that enables AI agents to control Minecraft bots through verified skills including navigation, resource gathering, combat, and advanced construction using programmatic scripts or commands.

MCP (Model Context Protocol) Server. Automatically exposes existing Gin API endpoints as tools with zero configuration, requiring just a single line of code to bridge your Go application with AI assistants.

DeepView MCP allows developers to query entire codebases through Gemini's large context window by loading consolidated codebase files into IDEs like Cursor and Windsurf.

A workshop repository designed to teach developers how to build AI-infused applications using the Quarkus framework and LangChain4j library through a series of step-by-step exercises.

MCP (Model Context Protocol) Server. Integrates with Roam Research to enable searching, creating, and manipulating graph content for automated note-taking and intelligent information retrieval.

A tool for AI assistants to search the OpenTofu Registry and retrieve detailed documentation, configuration examples, and metadata for providers, modules, and resources.

JS Reverse MCP is a comprehensive toolset for reverse engineering and debugging JavaScript in real-time. It enables AI coding assistants to conduct runtime inspection, function hooking, and breakpoint debugging directly within web browsers.

A Python-based interface to the Perplexity API that enables expert programming assistance, persistent chat history management, and local conversation storage through the Model Context Protocol.

MCP (Model Context Protocol) Server. Integrates with Gmail API to enable email operations like sending, managing labels, and searching messages.

A robust email service for LLMs that supports sending emails with attachments via SMTP and searching local directories for files to attach.

Agenite is a modular and type-safe TypeScript framework for building, composing, and controlling AI agents with native support for the Model Context Protocol (MCP).

A powerful MCP server that enables LLMs to run and manage Glif.app AI workflows, including image generation, memes, and multimedia processing across various AI models.

Official MCP server enabling seamless orchestration of hyperparameter search and other optimization tasks with Optuna.

A voice interaction system for Claude Code that enables hands-free development via browser-based speech-to-text and text-to-speech responses.

MCP (Model Context Protocol) Server. Integrates with PiAPI to enable AI-driven image generation from text prompts for content creation and visual design tasks.

- An MCP server to interact with AniList API, allowing you to search for anime and manga, retrieve user data, and manage your watchlist.

A specialized MCP server that bridges the gap between high-level project requirements (PRDs/TRDs) and agentic coding by providing structured task guidance and architectural specifications.

A Blender integration for the Model Context Protocol that uses local Ollama AI models to perform 3D modeling tasks, scene management, and asset downloads via natural language.

An MCP server that provides access to fal.ai's machine learning models, allowing users to list models, fetch schemas, generate content, and manage queued processing requests.

MCP (Model Context Protocol) Server. Bridges DataForSEO's SEO APIs with natural language interactions, enabling comprehensive search engine data retrieval and business intelligence analysis through intelligent tool integration.

A structured task management system that enables AI assistants to handle multi-step workflows with progress tracking, state management, and human-in-the-loop approval checkpoints.

A MCP (Model Context Protocol) provider Deepseek reasoning content to MCP-enabled AI Clients, like Claude Desktop. Supports access to Deepseek's thought processes from the Deepseek API service or from a local Ollama server.