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Prayanks MCP

全面解析MCP Sqlite 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 Sqlite 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。

安装状态

已补齐

Preangelleo MCP

全面解析My Credentials MCPMCP 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，My Credentials MCP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

Monitors product prices by comparing database reference prices with real-time G-Market prices and sends Slack notifications when prices drop.

Connects Claude to PrintSmith Vision for read-only AI-assisted print shop management. It enables users to query customer data, production job statuses, and financial summaries through natural language.

Manage Prisma Postgres databases with ease

A Model-Context-Protocol server that provides a read-only interface to ProAlpha MSSQL databases, automatically capturing database schemas and enabling data analysis through SQL queries.

A tool that integrates process mining capabilities with Claude AI, allowing users to analyze event log data from PostgreSQL databases through natural language interfaces in Claude Desktop or Cursor.

AI music production with text-to-music generation, audio extension, remixing, and cover creation via AceDataCloud API.

A production-grade MCP server and client implementation with comprehensive features including structured logging, health checks, metrics, authentication, and RAG capabilities with PostgreSQL vector search. Supports both stdio and SSE transports with containerization and security features for enterprise deployment.

A Model Context Protocol (MCP) server for accessing Productive.io API endpoints (projects, tasks, comments, todos), tailored for read-only operations, providing streamlined access to essential data while minimizing token consumption

Enables natural language task management including logging, updating, and summarizing productivity activities across multiple categories using a local SQLite database. It allows users to manage workflows and generate time-based summaries through standardized Model Context Protocol tools.

This MCP ensures consistent naming conventions for variables, database structures, and file organization by validating against project standards and providing smart naming suggestions.

A focused project memory system that provides knowledge graph capabilities and SQLite database operations for intelligent entity tracking and workflow management. It enables AI models to maintain persistent project context through 17 specialized tools, 10 resources, and 27 pre-built prompts.

Project MCP (Tejpalvirk)

全面解析ProjectMCP 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，Project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

Enables project and task management through a lightweight SQLite database, allowing users to create projects, add categorized tasks, track status changes, and get project statistics through natural language commands.

SchemaCheck Agent validates JSON payloads against JSON Schema Draft 7 and 2020-12 standards. Designed for agent-to-agent workflows, it returns structured validation results instantly — including field-level error paths, human-readable summaries, and optionally a corrected payload when repair mode is enabled.\\r\\nBuilt on the x402 micropayment protocol, each validation call costs $0.005 USDC on Base mainnet — no subscriptions, no API keys, no accounts. Pay per call, settle on-chain.

安装状态

已补齐

An MCP server for Prometheus-based monitoring that enables users to query system metrics, resource usage, and PostgreSQL health across multiple environments. It supports both predefined diagnostic checks and custom PromQL execution for comprehensive server monitoring and troubleshooting.

Enables AI assistants to directly access and manage your local Prompteka prompt library on macOS. It allows assistants to read, search, create, and organize prompts and folders by connecting directly to the app's SQLite database.

Provides stateful prompt optimization using research-backed techniques like APE and OPRO, learning from historical performance data via a vector database. It enables users to automatically refine prompts, retrieve high-performing examples, and track performance analytics through iterative feedback.

A local-only MCP server that uses SQLite to store, search, and manage a personal library of AI prompts. It enables developers to organize and reuse prompts across multiple AI clients like Claude and Cursor while keeping all data on their local machine.