learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1555개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
Enables AI assistants to interact with the D2L Brightspace Learning Management System via a set of specialized tools.
Provides a robust set of development tools, dynamic resources, and reusable prompt templates to enhance software development workflows.
Provides access to PrimeVue documentation through a Model Context Protocol server.
Automates the entire lifecycle of documentation, including creation, maintenance, quality assessment, and synchronization for software projects.
Answers HR policy questions from your own documents, retrieving relevant sections from a vector database to generate grounded responses with citations using OpenAI or Gemini.
Delivers accessibility acceptance criteria from MagentaA11y via the Model Context Protocol for local or remote access.
Scans local networks to discover devices, identify manufacturers, and flag potential security concerns.
Empowers AI assistants to grade, generate, and validate UI components against the components.build specification using the Model Context Protocol.
Serves Python coding best practices and guidelines via a Model Context Protocol (MCP) server for general development and FastAPI APIs.
Empowers AI assistants to manage, version, and execute AI prompts on Latitude.so directly from IDEs or chat interfaces.
Provides AI-powered access to Klipper 3D printer firmware documentation by serving content through the Model Context Protocol.
Exposes knowledge base operations as tools for AI agents, facilitating secure management and querying of a Django-backed knowledge base.
Automates the intelligent recognition and grading of student homework images across multiple subjects using an advanced multimodal AI model.
Provides programmatic access to municipal codes and ordinances from the Municode digital library across thousands of U.S. cities and counties.
Showcases Riml's portfolio and provides information about Riml.
Answers frequently asked questions about LPDP scholarship disbursement by leveraging Retrieval Augmented Generation.
Explores the Model Context Protocol (MCP), its concepts, operation, and potential future impact on AI tool integration.
Enable AI assistants like Claude to access TwitterAPI.io documentation instantly and offline.
Serves markdown files in a structured manner through an API, acting as a knowledge base for Large Language Models (LLMs).
Demonstrates a basic 'Hello World' application using ModelContextProtocol (MCP) in .NET.
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