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Memory MCP Server

Memory MCP Server is an implementation of the Model Context Protocol (MCP) for managing Claude’s memory and knowledge graph. It uses a SQLite database to…

Orchestkit Docs MCP

OrchestKit Docs MCP — read-only MCP server for the OrchestKit Claude Code plugin docs: full-text search + Markdown page fetch. Streamable-HTTP, no auth, no API…

Apple RAG MCP

Transform your AI agents into Apple development experts! Apple RAG MCP gives you instant access to official Swift docs, design guidelines, and comprehensive…

IaC Memory MCP Server

IaC Memory MCP Server is a Model Context Protocol (MCP) server that provides persistent memory storage, version tracking, and relationship mapping for…

MCP RAG Server

# MCP RAG Server MCP RAG Serverは、Model Context Protocol (MCP)に準拠したRAG(Retrieval-Augmented Generation)機能を持つPythonサーバーです。マークダウン、テキスト、パワーポイント、PDFなど複数の形式のドキュメントをデータ…

Markdown2PDF

Converts Markdown to PDF using Puppeteer, offering syntax highlighting, custom styling, and watermarking capabilities for document generation.

mcp-llms-txt

MCP server for SecretiveShell/Awesome-llms-txt. Add documentation directly into your conversation via MCP resources.

📚 MCP Notes

📚 MCP Notes is a personal knowledge management system built on the Model Context Protocol (MCP) that transforms daily notes into organized, searchable…

Confluence MCP Server

# Confluence MCP Server A Model Context Protocol (MCP) server for interacting with Confluence Data Center via REST API. This server provides a set of tools…

Mineru Open Mcp

Official MinerU MCP server for document parsing. Convert PDF, DOCX, PPTX, images, and HTML to high-quality Markdown. Supports 109-language OCR, table/formula…

CodeWeave Mcp

Save tokens while coding — your AI agent gets structured code context, not file dumps.

Mcp Memory Gateway

MCP Memory Gateway is a pre-action gate engine for AI coding agents. Unlike memory servers that store and retrieve context (Mem0, Zep), this server enforces…

ClickHouse

Integrates with ClickHouse to enable natural language querying and exploration of large datasets while maintaining read-only safeguards.