Learning & Documentation MCPサーバー

learning & documentation向けの厳選されたMCPサーバーコレクションをご覧ください。735個のサーバーを閲覧し、ニーズに最適なMCPを見つけましょう。

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Cat Facts

Provides cat facts via a command-line interface.

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Github Tutorial

Provides examples for interacting with the GitHub API to manage repositories and collaborate on projects.

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Context Compose

Define, compose, and manage granular contexts for large language models, ensuring consistent and high-quality results across AI-powered development tasks.

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Memory Bank

Streamlines software development projects by providing structured workflow tools across various complexity levels and phases.

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Docs

Automates the generation of OpenAPI 3.0 API documentation by analyzing Django REST Framework ViewSets.

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Arxiv Search

Enables LLMs to search and retrieve academic papers from arXiv, providing cleaned titles, abstracts, and content.

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Confluence

Integrates Confluence with the Model Context Protocol to enhance context awareness and streamline documentation workflows.

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Cursor-Cortex

Equips AI assistants with structured external memory, eliminating context loss and enabling an experienced teammate role in software development.

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Kibela

Enables LLMs to interact with Kibela content by providing a Model Context Protocol (MCP) server.

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Semantic Scholar

Access the Semantic Scholar Academic Graph API to search for academic papers, authors, and analyze citations and references.

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Aptos

Facilitates interaction with Aptos documentation and creation of full-stack Aptos blockchain applications.

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Learning With Claude

Presents learning notes and conversations from software development sessions with Claude.

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Clever Cloud Documentation

Exposes Clever Cloud's documentation as a Model Context Protocol (MCP) server.

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Anki

Exposes Anki collection data via an MCP server to integrate with AI assistants.

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Demo

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

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Gemini Example

Provides a foundational example for integrating custom tools with the Gemini CLI using the Model Context Protocol (MCP).

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Learn

Integrates a specialized math server with LangChain, enabling advanced computational capabilities for AI applications.

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Low-Level Streamable HTTP

Creates an MCP server that manages a simple note-taking system using a low-level server with streamable HTTP.

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Canvas LMS

Enables student access to Canvas LMS resources through an MCP server.

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Moodle

Provides a Model Context Protocol (MCP) server that enables comprehensive interaction with the Moodle Learning Management System (LMS) Web Services API.

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