Learning & Documentation MCPサーバー

AWS Service Reference

Provides access to AWS programmatic service authorization information, including services, actions, condition keys, and resource types.

Neurolorap

Automates code collection and project documentation generation.

Mathematica Documentation

Enables checking Mathematica code via a local Mathematica installation.

Roam Research

Connects Claude and other AI assistants to your Roam Research graph, allowing for seamless interaction with your Roam data.

Obsidian GitHub

Connects AI assistants to GitHub-hosted Obsidian vaults, enabling seamless reading, searching, and analysis of notes and documentation.

Docset

Integrates local Dash documentation with AI assistants, enabling direct access to offline references.

Mercado Pago

Integrates Mercado Pago functionalities and provides access to its developer documentation via a Model Context Protocol server.

Gemini Grounding

Provides real-time information access using Google Gemini's grounding capabilities for MCP-compatible clients.

PDF Reader

Integrates PDF viewing and analysis capabilities into VS Code via the Model Context Protocol.

Scholarly Research

Consolidates academic research from PubMed, Google Scholar, ArXiv, and JSTOR through five powerful tools for efficient discovery and analysis.

Zignet

Provides intelligent code analysis, validation, and documentation for Zig, leveraging a fine-tuned LLM and the official Zig compiler.

DOI Citation Verifier

Ensures the accuracy of academic citations by verifying them against the CrossRef database, preventing large language models from hallucinating references.

Flowbite-Svelte

Exposes Flowbite-Svelte documentation and component information to large language models via Model Context Protocol (MCP).

MkDocs

Integrates an MCP server directly into the MkDocs documentation workflow.

AS Help

Provides a server for B&R Automation Studio help documentation, enabling full-text search with BM25 ranking and context-sensitive integration.

CyberEdu

Provides an official Model Context Protocol (MCP) interface for the CyberEdu CTF platform, enabling automated interaction with its cybersecurity training and contest features.

Bad

Provides a suite of 10 intentionally malicious servers designed to test and improve the security of AI clients by exploiting Model Context Protocol features.

Open Agent Kit

Automatically captures and indexes the complete development story, including plans, decisions, and trade-offs, to power AI agents and improve software quality.

AT Protocol

Provides a searchable knowledge base for the AT Protocol ecosystem, offering semantic search across documentation, lexicons, and code examples.

Memento

Provides AI agents with durable, high-signal repository memory and fast semantic code context through a local-first MCP server.