Learning & Documentation MCP 서버

learning & documentation를 위한 엄선된 MCP 서버 컬렉션을 찾아보세요. 1096개의 서버를 탐색하고 필요에 맞는 완벽한 MCP를 찾아보세요.

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QB64PE

Provides advanced QB64PE programming assistance through a Model Context Protocol server.

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Hello World

Provides foundational example code for building Model Context Protocol (MCP) servers using FastAPI.

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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.

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My Tools

Serves as a Node.js-based Model Context Protocol server, exposing utility tools for interaction.

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Instruction Server

Provides AI assistants access to a library of structured markdown instructions via the Model Context Protocol (MCP).

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Weather Demo

Demonstrates basic usages of the Model Context Protocol with a Python server and client.

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Demo

Implements the Model Context Protocol with streamable HTTP communication for building rich-context AI applications.

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MRConfluenceLinker

Integrates GitLab merge request analysis with Confluence documentation via an MCP server.

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PlugGraph

Develop and experiment with modular conversational AI agents powered by LangGraph and the Model Context Protocol (MCP).

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Amplemarket Knowledge Base

Provides seamless access to the Amplemarket Knowledge Base via Pylon's API for MCP-compatible clients like Claude Desktop.

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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.

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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.

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Obsidian

Enables AI to control Obsidian notes through a local REST API and automate Git synchronization.

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Party Time

Responds with 'It's Party Time' when asked about the current time via the Machine Conversation Protocol.

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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.

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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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