A minimal MCP server implementation designed for learning how to integrate tools like echo, time retrieval, and Japanese Wikipedia search with Claude Desktop. It serves as a foundational template for developing custom server capabilities using the TypeScript MCP SDK.
Enables AI assistants to manage MinIO object storage through comprehensive bucket operations, file uploads/downloads, batch processing, permissions management, and URL generation. Supports both automatic and manual connection modes with flexible authentication options.
Enables Claude Desktop to interact with Miro boards to list projects, retrieve board items like sticky notes and frames, and search for specific text content. It facilitates seamless board management and information retrieval through the Miro API.
An MCP server that enables Claude to perform OCR on local files using Mistral AI's document processing capabilities. It converts documents and images into markdown format for seamless analysis and interaction.
公开目录未提供摘要。
Enables AI agents to interact with MkDocs documentation through intelligent search (keyword, vector, and hybrid), document retrieval, and automatic indexing. Automatically detects and launches MkDocs projects for seamless documentation querying.
Enables AI assistants to access and search MkDocs documentation through tools for full-text search, page navigation, and code block extraction. It serves documentation pages as readable resources and provides structural outlines to help LLMs navigate documentation content.
全面解析Mkusaka MCP Server PerplexityMCP 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，Mkusaka MCP Server Perplexity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。
MLOps workflow with a Model Control Plane (MCP) server for model management and deployment
Durable hybrid memory for AI agents. Combines vector search, BM25, temporal retrieval, and optional Memgraph knowledge graph via reciprocal rank fusion. 6 MCP tools: health, search, answer, feedback, graph_query, graph_add_triple. Self-hosted with Qdrant backend.
A Model Context Protocol (MCP) server for advanced code analysis and editing with semantic search capabilities, enabling AI assistants to perform complex code operations through a standardized interface.
mcp server assistant for mock data
Playing around with MCP clients and servers
Built a MCP server for learning purpose
A pluggable and observable modular RAG framework that enables AI assistants to perform semantic search, document Q\&A, and knowledge base retrieval. It supports hybrid search, reranking, and multiple LLM backends through a standardized Model Context Protocol interface.
Provides comprehensive access to MoEngage documentation from developers, help, and partners portals with full-text search, automatic updates, and intelligent filtering by platform, category, and source.
Enables AI applications to read and process PDF files with intelligent file search, text extraction, image processing, and optional OCR support for scanned documents.
Enable AI agents to work reliably - giving them secure access to structured data, tools to take action, and the context needed to make smart decisions.
公开目录未提供摘要。
The MoneyChoice MCP Server delivers institutional-grade economic forecasts powered by a proprietary quantum-inspired analytical framework that evaluates vast market state possibilities simultaneously rather than relying solely on historical price patterns. Since 2015, MoneyChoice Capital has maintained a documented 80%+ prediction accuracy rate through strict signal validation and full performance
