Integrates Claude with n8n and Supabase to provide semantic memory search, automated workflow orchestration, and multi-platform task creation. It enables persistent interaction storage and autonomous agent capabilities through a production-ready HTTP interface.
Сonnects to live JVMs via JDWP protocol, enabling LLM agents to autonomously debug Java applications — attach to a running process, pause threads, set breakpoints (including conditional), inspect stacks with auto-resolved object fields, evaluate methods, set variable values, and diagnose issues like deadlocks and hung queries.
A multi-functional AI agent with an Arabic legal chatbot, Google search capability, and a VAE model that generates handwritten digit images.
Integrates Apache JMeter with AI assistants to run and manage load tests through natural language. It enables users to execute test plans, parse results, inspect test structures, and compare performance metrics across different runs.
MCP server for the JouleScope JS220 precision energy analyzer, enabling agents to measure current, voltage, power, charge, and energy via tools like measure_energy.
Enables intelligent workflow automation for JD's FOP platform, supporting PRD analysis, code generation, and flowchart creation with smart retrieval optimization and standardized file naming rules.
A comprehensive utility MCP server that enables AI assistants to execute system commands, manage files, integrate with Google Sheets and Tasks, perform AI-powered text processing, and load dynamic prompts from markdown files.
Deterministic JSON repair, validation, example-generation, and schema-coercion for AI agents — zero LLM calls, sub-10ms, $0.0005 per call.
A Model Control Protocol (MCP) server that enables remote programmatic control of Jupyter notebooks, allowing AI assistants and applications to create, edit, and execute notebook cells via SSE protocol.
A production-grade coordination hub that enables AI agents and human teams to work as a single organism by sharing tasks, context, decisions, and persistent memory across projects. It features two-tier agentic memory with per-agent hot caches, inter-agent messaging, and multi-agent authorship tracking for seamless collaboration.
A read-only Kubernetes MCP server that enables developers to inspect app status, view pod events, and fetch container logs from dev clusters without requiring full kubectl access.
Enables AI assistants to manage and monitor Apache Kafka clusters through natural language, providing real-time operations, health monitoring, consumer lag analysis, and temporal trend detection for intelligent cluster management.
Provider agnostic ai orchestrator layer, kagan mcp allows controlling orchestrating and spawning subagents via mcp associated with tasks in kanban board that is accessible via kagan cli executable that bundles a chat repl, tui , mcp and a web client in a single uv tool install kagan wheel. Give it a try and submit feedback and feature requests! Consider starring the repo, its a free oss MIT based.
Enables integration with Kagi search engine services including web search, content summarization from URLs, and AI assistant conversations. Uses session tokens to access Kagi's search API, summarizer, and AI models directly within MCP-compatible applications.
全面解析MCP Config EditorMCP 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 Config Editor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 comprehensive project management system that provides a full-featured Kanban board and dashboard accessible to AI agents. It enables agents to programmatically manage projects, tasks, and workflows through a suite of 13 specialized tools and 4 resource types.
A Kanban board MCP server and Claude Code plugin that allows AI agent teams to create, track, and manage tasks through a structured workflow. It features a web UI for real-time status monitoring and enables users to review, approve, or reject task submissions.
An adaptive MCP server that grows and evolves based on user needs through self-modification, dynamic learning from feedback, and intelligent capability composition with workflow optimization.
An MCP server for architectural CAD workflows in ZWCAD with non-uniform block scaling capabilities. It enables precise control over block dimensions for architectural elements like windows and doors.
A Model Context Protocol server that connects AI assistants with the Kernel platform, enabling them to deploy applications, automate web browsers, and manage cloud resources.
