Enables AI agents to read and retrieve the latest posts from Jibun and Ech0 instances. It allows users to list configured sources and fetch content with support for pagination and source selection.
An AI-powered job recommender built on the Model Context Protocol that provides personalized career suggestions through resume and skills matching. It utilizes LLMs and external tool integrations to help users find relevant job openings based on their professional profile.
A token-efficient, schema-aware MCP server that enables AI assistants to safely read, modify, query, and validate JSON, YAML, and TOML files with automatic schema detection and format conversion capabilities.
Manages the lifecycle of MCP services with health monitoring, auto-restart capabilities, and process tracking. Enables users to start, stop, restart, and monitor MCP services through natural language commands.
A learning-focused MCP server that demonstrates how to build arithmetic tools for AI assistants, currently featuring addition functionality with structured input/output.
A comprehensive educational server demonstrating Model Context Protocol capabilities for tools, resources, and prompts, allowing AI assistants to connect to external data and functionality.
A Model Context Protocol server that translates high-level intents into commands for controlling an Arduino-based LED system via a RESTful interface.
A Model Context Protocol server that enables AI assistants to interact with Linear project management systems, allowing users to create, update, and manage issues, projects, teams, and comments through natural language.
A Model Context Protocol server that analyzes various log types on Windows systems, allowing users to register, query, and analyze logs from different sources including Windows Event Logs, ETL files, and structured/unstructured text logs.
Provides comprehensive logging and monitoring capabilities for MCP services with real-time log tailing, advanced search, error analysis, and anomaly detection. Enables centralized log aggregation, correlation tracking, and health monitoring across all MCP ecosystem services.
Allows developers and AI Agents to query Google Cloud Logging using natural language, translating queries into Google Cloud Logging Query Language (LQL) with Vertex AI Gemini 2.5.
Enables AI agents to interact with macOS applications (Finder, Mail, Contacts, Reminders, Notes, Calendar, TextEdit) using AppleScript. Allows AI assistants to perform tasks like searching contacts, managing files, checking email, and creating reminders through natural language.
Connects AI assistants to the Maestro research framework to orchestrate multi-agent research missions, including planning, research, and writing phases. It enables users to launch research tasks, track real-time progress, and retrieve comprehensive structured reports and notes.
Automates the creation of application user manuals by capturing screenshots and generating documentation, supporting any web application through configurable workflows and MCP integration with AI assistants.
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。
A Mathematical Computation Protocol server providing 286 mathematical functions across multiple domains with flexible transport options (STDIO/HTTP) and streaming capabilities.
A MCP Server that gives AI assistants the ability to remember information about users across conversations using vector search technology.
Gives AI coding assistants persistent memory, safety controls, and project awareness by tracking coding sessions, protecting critical files from modifications, and managing approval workflows with automatic changelog generation.
A server that allows using natural language to automate test flows with Playwright, leveraging MidScene's AI agent capabilities to interact with web elements and perform assertions.
A bridge between AI assistants and MikroTik RouterOS devices, allowing natural language interaction to manage network configurations including VLANs, firewalls, DNS settings, and more.