A Python-based MCP server adapted from the n8n_agent project that implements a note storage and summarization system. It enables users to create, retrieve, and summarize notes through the Model Context Protocol.
Provides AI assistants with comprehensive access to n8n's 525+ workflow automation nodes, including documentation, properties, operations, and 2,500+ templates. Enables creating, validating, and managing n8n workflows through natural language.
An MCP server that empowers AI assistants to build, validate, and manage n8n workflows by providing structured access to documentation for over 1,200 nodes and thousands of templates. It enables deep integration with n8n instances for automated workflow orchestration and management through natural language.
A Model Context Protocol server that provides AI assistants with comprehensive access to n8n node documentation, properties, and operations for effective workflow automation.
Provides AI assistants with comprehensive access to n8n node documentation, properties, and workflow templates. It enables models to search, understand, and manage n8n automation workflows through structured access to over 1,000 node types.
Provides seamless integration between MCP-compatible AI assistants and n8n workflow automation, enabling intelligent management and automation of n8n workflows through natural language.
Enables Large Language Models to interact with n8n automation instances through the Model Context Protocol. Supports workflow management, execution, credentials handling, and security audits through natural language commands.
Provides AI assistants with direct access to the n8n automation platform to manage and execute workflows, variables, and credentials. It features 18 integrated tools that allow for seamless automation management via the Model Context Protocol.
Enables management of multiple N8N workflow automation instances through MCP. Supports listing, creating, updating, deleting, executing workflows and monitoring their executions across different N8N environments.
Enables AI-powered building, optimization, debugging, and management of n8n workflows directly from Claude. Features workflow analysis, execution monitoring, security audits, drift detection, and intelligent error debugging with best practices guidance.
Enables AI assistants to manage n8n automation workflows through natural language commands, including creating, executing, monitoring, and organizing workflows with full CRUD operations and execution management.
Provides access to the Nager.Date API through the Model Context Protocol, allowing AI agents to query worldwide public holiday information. It enables seamless integration of holiday data into LLM workflows using standardized tools.
Enables AI assistants to perform real-time domain name availability checks and validate domain syntax according to RFC standards. It supports both stdio and SSE transports to bridge the gap between AI models and domain registration services.
A shared whiteboard for you and your AI agent I wanted my AI agent and me to be able to point at the same thing. Any MCP-capable agent can read the canvas, draw on it, drop thought bubbles, animate elements, and react when you sketch something.
Multi-Agent Conversation Protocol server for accessing NASA's Astronomy Picture of the Day (APOD) API, allowing users to retrieve space imagery and related information through natural language interactions.
An extensible Model Context Protocol server that enables AI assistants like Claude to generate React Native components and perform development tasks through a standardized interface.
A Model Context Protocol server that wraps Naver's encyclopedia search API, allowing users to search for information from Naver's encyclopedia through stdin/stdout or HTTP interfaces.
A Model Context Protocol server that enables LLMs to retrieve NBA data including player stats, team information, game logs, and league standings through the nba_api library.
This server enables interacting with the National Digital Health Mission's Health Information User (HIU) API, allowing agents to access and manage health information through the Multi-Agent Conversation Protocol.
Enables AI agents to interact with Homey home automation systems for managing flows, devices, and zones. Perfect for bulk automation tasks like batch renaming flows, organizing them into folders, and managing devices across zones through natural language.