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Enables indexing and retrieving notes with full-text search using SQLite, plus building knowledge graphs to find relationships between concepts. Supports natural language note management, tagging, and semantic connections.

A Model Context Protocol server that allows AI assistants and applications to access IQ.wiki data, enabling retrieval of specific wikis, user-created wikis, user-edited wikis, and detailed wiki activities.

A Model Context Protocol server that integrates with Atlassian's Jira and Confluence, enabling AI assistants to interact with these tools directly through features like issue management, page creation, and content search.

MCP Kibela Server (mcp-46368663)

全面解析MCP Kibela ServerMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，MCP Kibela Server能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

A local document processing server that can index various document formats (PDF, DOCX, TXT, HTML) and answer questions based on their content using the Model Context Protocol.

A Streamlit-based web application that generates personalized learning paths by integrating with YouTube, Google Drive, and Notion services through the Model Context Protocol.

MCP LLMS

全面解析Llms.txt DocumentationMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Llms.txt Documentation能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

全面解析Documentation Markdown ConverterMCP Server的核心功能、安装配置和实用案例。作为顶级Model Context Protocol服务器，Documentation Markdown Converter能让AI助手访问实时数据、执行操作，为您提供更智能的工作体验和自动化解决方案。

An MCP server that enables users to fetch and audit documentation from user-defined llms.txt index files. It provides tools to list documentation sources and retrieve content from specific URLs with built-in domain access controls for secure context retrieval.

Provides controlled access to llms.txt documentation files through MCP tools, allowing AI assistants to fetch and read documentation from user-approved domains with full audit visibility of tool calls and context retrieval.

Enables MCP host applications to retrieve and process structured documentation from user-defined llms.txt files. It provides tools to fetch specific URLs and audit the documentation context returned to the LLM.

This MCP server provides a tool to generate manual test cases in Markdown or CSV format from documentation files and custom rules. It supports text and PDF inputs and can leverage LLM sampling to automate the creation of detailed test scenarios.

A Model Context Protocol (MCP) server that gives your AI assistant the power to convert Markdown into 14 professional document formats — PDF, DOCX, HTML, LaTeX, CSV, JSON, XML, XLSX, RTF, PNG, and more. Stop copy-pasting. Let the AI do the exporting.

Automatically transforms markdown templates (like GitHub Issue templates) into MCP tools and FastAPI endpoints. Load templates from local files, directories, or URLs to create typed API endpoints with Swagger UI documentation.

An MCP server that provides tools for analyzing, linting, formatting, and generating Markdown content. It enables users to programmatically manage Markdown files through features like table of contents generation, statistics calculation, and JSON-to-table conversion.

Headless semantic MCP server for Obsidian, Logseq, Dendron, Foam, and any markdown folder. Features built-in hybrid semantic search, surgical AST editing, template scaffolding, zero-config local embeddings, and workflow tracking.

Provides tools for converting Markdown content and files into professional PDF documents with full support for Mermaid diagrams and LaTeX rendering. It allows for high-quality output customization, including paper size, table of contents, and syntax highlighting styles.

MCP Memos

A memo tool based on MCP protocol that helps developers quickly save and retrieve text information without interrupting their workflow.

Enables AI agents to integrate Midtrans payments by providing comprehensive documentation, API references, and code examples for 15+ payment methods across 5 languages. Includes tools for generating charge requests, webhook handlers, and searching documentation without requiring API keys.

An optimized Model Context Protocol server for document OCR processing using Mistral AI with support for high-performance batch operations and async connection pooling. It enables efficient extraction of text and tables from local files or URLs into structured markdown and HTML formats while minimizing token costs.