Learning & Documentation MCP 서버
learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1096개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.
QB64PE
Provides advanced QB64PE programming assistance through a Model Context Protocol server.
Hello World
Provides foundational example code for building Model Context Protocol (MCP) servers using FastAPI.
Cricket Prediction
Demonstrates building a Model Context Protocol (MCP) server in Python to expose custom tools and resources to large language models (LLMs) and MCP clients.
My Tools
Serves as a Node.js-based Model Context Protocol server, exposing utility tools for interaction.
Instruction Server
Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).
Weather Demo
Demonstrates basic usages of the Model Context Protocol with a Python server and client.
Demo
Implements the Model Context Protocol with streamable HTTP communication for building rich-context AI applications.
MRConfluenceLinker
Integrates GitLab merge request analysis with Confluence documentation via an MCP server.
PlugGraph
Develop and experiment with modular conversational AI agents powered by LangGraph and the Model Context Protocol (MCP).
Amplemarket Knowledge Base
Provides seamless access to the Amplemarket Knowledge Base via Pylon's API for MCP-compatible clients like Claude Desktop.
Canvas Student
Integrates Canvas LMS with LLM clients via the Model Context Protocol, enabling interaction with course content, assignments, and more through a natural language interface.
HelloPython AI ML
Provides PyTorch AI/ML examples for Modal Context Protocol (MCP), Agent-to-Agent (A2A), RAG, and vLLM workflows, enabling reproducible and scalable pipelines for research and deployment.
Obsidian
Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.
Party Time
Responds with 'It's Party Time' when asked about the current time via the Machine Conversation Protocol.
AST2LLM for Go
Parses Go source code into an Abstract Syntax Tree (AST) and converts it into a clean, LLM-friendly format to enhance prompt context.
GitMCP
Transforms any GitHub project into a documentation hub, enabling AI tools to access up-to-date documentation and code and eliminate code hallucinations.
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