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.
Enables keyword monitoring, sentiment collection, AI analysis, and report generation for marketing intelligence via MCP protocol.
Enables rapid analysis of landing pages for SEO compliance, conversion structure, color contrast accessibility, and performance metrics with automated optimization suggestions and code snippets.
全面解析MCP MarketplaceMCP 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 Marketplace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。
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.
Provides AI assistants with access to materials science databases, enabling search and analysis of material properties, crystal structures, phase diagrams, and elastic properties through the Materials Project API.
Enables basic mathematical operations through MCP protocol with add and multiply tools. Built with fastmcp 2.0 and optimized for serverless deployment on Vercel.
Provides exact arithmetic and verification tools using SymPy and fractions to solve math competition problems precisely. It enables users to perform rigorous calculations and export notebook-ready Python code for further analysis.
Provides basic mathematical operations including arithmetic, square root, and number theory functions like GCD and LCM. Built with TypeScript and includes proper error handling for edge cases like division by zero.
A Mathematical Computation Protocol server providing 286 mathematical functions across multiple domains with flexible transport options (STDIO/HTTP) and streaming capabilities.
Provides basic mathematical operations like addition, subtraction, multiplication, and division via the Model Context Protocol using stdio transport. This project serves as a complete reference implementation for a functional MCP server and client setup.
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.
Demo of implementation of MCP using Langchain MCP Adapters and Ollama
Helps users discover and install MCP servers from PlayMCP using hybrid search (keyword matching + semantic search) based on their requests, and provides installation guidance.
A demonstration MCP server that provides basic utility tools including hello world functionality and string reversal operations. Shows how to build and deploy MCP tools using the MCPO orchestrator framework.
A GitHub-based implementation of the Model Context Protocol that enables LLMs to access and manipulate data in a Universal Object Reference (UOR) framework, providing standardized interfaces for object management with decentralized storage.
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.
Enables image generation, editing, and blending using Gemini 2.5 Flash capabilities, plus text generation for AI-powered creative workflows through MCP tools.
A Model Context Protocol server that enables AI assistants to create images and videos using Amazon Nova Canvas and Nova Reel models.
