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.
MCP server for the Russian construction market — 3,395 contractor companies and 13,436 house-building projects across 18 regions. 21 tools for search, comparison, cost analytics, contractor recommendations, and quote requests.
A conversational application server that integrates LLM capabilities via Ollama with vector memory context, supporting multiple users, sessions, automatic history summarization, and a plugin system for executing real actions.
A template for deploying MCP servers on Vercel with serverless functions. Includes example tools for rolling dice and getting weather data to demonstrate basic functionality and API integration patterns.
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.
Provides AI coding assistants with persistent memory storage using a local SQLite database. Enables tools to remember project details, notes, and relationships across sessions to maintain context and reduce repetitive explanations.
🧠 High-performance persistent memory system for Model Context Protocol (MCP) powered by libSQL. Features vector search, semantic knowledge storage, and efficient relationship management - perfect for AI agents and knowledge graph applications.
Enables AI assistants to store and retrieve long-term memories using PostgreSQL with vector similarity search. Supports semantic memory operations, tagging, and real-time updates for persistent learning across conversations.
A persistent local vector memory server that allows users to store and search project-specific context using LanceDB and local embeddings. It enables MCP-compliant editors to maintain long-term memory across different projects without requiring external API keys.
Provides persistent memory functionality for AI conversations by creating, managing and querying entities and relationships in a knowledge graph. Features SQLite storage, advanced search capabilities, and Windows auto-start integration for long-term AI memory retention.
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.
全面解析MCP Mma DocsMCP 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 Mma Docs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。
安装状态
已补齐
命令预览
pip install -r requirements.txt
Enables AI agents to query and introspect MongoDB databases through find, aggregate, and schema discovery operations. Supports read-only default mode with optional write capabilities and works with any MCP-compatible client via stdio or HTTP transports.
A Model Context Protocol server that allows Large Language Models like Claude to execute SQL queries, explore database schemas, and maintain persistent connections to SQL Server databases.
