This workflow implements a lightweight GitHub MCP server, allowing users to conveniently query and manage issues in specified repositories through the MCP client. The main features include retrieving the latest issues, viewing issue details and comments, adding comments, and supporting bidirectional interaction. By flexibly calling the GitHub API and simplifying data processing, users can manage project issues safely and efficiently, enhancing team collaboration and response speed while meeting internal security and access control requirements.

This workflow utilizes the Telegram platform to achieve multifunctional message processing and automatic payment capabilities. By intelligently recognizing different types of messages, including text, photos, and voice, the system can automatically reply, identify commands, and handle user registration and payments. Additionally, dynamic menu interactions and data synchronization with Google Sheets ensure real-time updates of user information and payment status, significantly enhancing business efficiency and user experience. It is suitable for scenarios such as chatbot customer service, online payments, and order management.

This workflow is a node visual guide that clearly presents various commonly used nodes, categorized by functional modules such as triggers, data transformation, and AI intelligent agents. Users can intuitively understand the types and purposes of each node, allowing for quick onboarding and design of automated processes, making it especially suitable for beginners and automation designers. With rich external application integration and connection displays, it helps users understand the relationships between nodes and improves workflow design efficiency, making it an ideal tool for learning and reference.

This workflow automatically detects and updates the error handling configurations in active workflows, ensuring that each workflow without a set error handler is linked to the default mechanism. It scans daily and adds error handling to workflows with missing configurations, ensuring timely monitoring. Additionally, when a workflow execution fails, it notifies relevant personnel via email, providing details of the failure, which effectively enhances the stability and responsiveness of the automated system and reduces operational risks.

This workflow implements automatic backup and updates of the automation platform's workflow configuration, ensuring data security and version consistency. It is triggered daily at a scheduled time to automatically retrieve the current workflow information and compare it with the backup in the GitHub repository, adding any missing files and updating any changes. This mechanism supports intelligent deduplication and change detection, reducing manual maintenance errors and improving management efficiency. It is suitable for DevOps teams and multi-user collaborative environments, ensuring the integrity and traceability of workflow configurations.

This workflow is designed to automatically monitor and handle errors within the workflow, promptly capturing issues that arise during the triggering and execution processes. It automatically sends detailed error notification emails via Gmail, which include error messages, stack traces, relevant workflow links, and complete error data in JSON format, helping to quickly locate and resolve issues. It supports flexible configuration of recipient email addresses and sender names, enhancing the readability of error notifications and effectively improving the stability and operational efficiency of the automated system.

This workflow automatically assigns a responsible person to newly created issues or comments assigned to reviewers by listening to issue and comment events in a GitHub repository. It effectively prevents the oversight of unassigned tasks and the duplication of assignments, enabling intelligent allocation and instant feedback, thereby enhancing team collaboration efficiency. It is suitable for open-source projects and enterprise software development, helping project managers and team members quickly respond to collaboration requests and optimize the task allocation process.

This workflow integrates the API interface of the Proxmox virtualization environment with the Google Gemini AI model to achieve intelligent natural language command parsing and automatic API command generation. Users can easily manage operations such as creating, deleting, and starting virtual machines, which reduces operational complexity, enhances management efficiency, and minimizes human errors. It is suitable for scenarios such as cloud computing, IT operations, and DevOps, providing users with a convenient and secure virtual machine management experience.

This workflow demonstrates how to automatically manage and persist access tokens, ensuring their validity to avoid interface call failures due to token expiration. By initializing static data, checking the token status, automatically requesting a new token when necessary, and updating storage, the token management process is streamlined. It is suitable for automated scenarios that require frequent access to APIs protected by tokens, helping to improve system operational efficiency and stability.

This workflow is capable of automatically retrieving weather information for a specified city every day and sending the day's temperature information to preset phone numbers via SMS service. By integrating scheduled triggers, weather data retrieval, and SMS sending, it ensures that users receive accurate and timely weather alerts, making it particularly suitable for individuals and businesses that require daily weather updates, thereby enhancing convenience and efficiency in both life and work.

This workflow implements real-time monitoring of GitHub notifications, automatically retrieving the latest update information every minute and organizing it for push to a designated Discord channel. By utilizing dynamic time calculations and content formatting, it ensures that the messages pushed are concise and efficient, avoiding unnecessary notifications. It is suitable for software development teams and project managers, helping them to quickly respond to project dynamics and improve collaboration efficiency, thus addressing the inefficiency of manually checking notifications.

This workflow enables the automatic cloning and migration of workflows between different instances. By calling the API, users can batch retrieve the workflow list from the source instance and filter out workflows that do not exist in the target instance, creating and associating them sequentially with the specified project. This process supports flexible configuration of credentials and project names, ensuring accurate data migration, significantly enhancing the efficiency and security of workflow management, making it suitable for unified management and backup for multiple teams or enterprise-level users.

This workflow can automatically respond to specified GET requests, retrieving PDF files from a remote server and returning them as attachments to the requester. The filename includes the current date for easier management and identification. Through this process, users can download specific PDF documents in real-time without manually accessing and saving files, achieving automated, efficient, and secure distribution suitable for websites, applications, and any scenario that requires instant PDF downloads.

This workflow implements the functionality of automatically restoring and synchronizing backup workflows from GitHub. By reading the workflow JSON files from a specified path in GitHub, it automatically compares them with the workflows in the current environment to avoid duplication, ensuring that only workflows that do not already exist are imported. This process simplifies the cumbersome manual import, enhances the management efficiency and security of workflows, and is suitable for enterprise IT teams, DevOps engineers, and development teams, ensuring a clean and orderly workflow environment.

This workflow automatically captures dynamic changes such as status updates and comments on project tasks by real-time monitoring of various events in Jira, enhancing the responsiveness and collaboration efficiency of project management. It not only triggers subsequent actions automatically, such as notifications and data synchronization, but also helps teams reduce the burden of manually checking task progress, ensuring timely information updates, lowering communication costs, and minimizing the risk of omissions. It is particularly suitable for development teams and project managers.

This workflow automatically classifies bug-type tickets by listening for new tickets in Linear and intelligently analyzes the ticket descriptions using OpenAI's GPT-4 model to determine the appropriate handling team. If the AI is unable to identify a team, it will automatically send a notification via Slack. This process reduces manual intervention, improves the accuracy and response speed of ticket handling, ensures timely attention to tickets, and enhances team collaboration and operational efficiency.

This workflow is used for manually updating and overriding the configuration file of the Standup Bot. Users simply need to click the execute button, and the workflow will convert the configuration data in JSON format into binary format and write it to the configuration file at the specified path. By automating management, it simplifies the configuration update process, reduces the complexity and errors associated with manual modifications, and improves maintenance efficiency, making it suitable for teams and projects that require frequent configuration adjustments.

This workflow receives external requests through a Webhook node and instantly returns a beautified HTML page response, simplifying the integration process with external systems. Users can quickly build customized web interfaces, enhancing the interactive experience of automated processes. It is suitable for developers, product managers, and technical personnel for rapidly setting up test pages or integrating external requests, ensuring efficient collaboration between systems.

This workflow automatically triggers subsequent processes by real-time monitoring of various events in a specified GitLab repository (such as commits, merge requests, issue changes, etc.). It effectively enhances the team's response speed to project dynamics, preventing information omissions caused by manual monitoring. It is suitable for scenarios such as continuous integration, automated notifications, and document management, helping development teams and project managers improve collaboration efficiency and project quality.

This workflow effectively handles continuously arriving chat messages through intelligent buffering and batch merging techniques. It utilizes the Redis caching mechanism to store messages and integrates with the OpenAI GPT-4 model for content consolidation, automatically generating merged responses to enhance conversation efficiency. By dynamically calculating wait times, it flexibly controls the timing of merges, avoids duplicate replies, and optimizes the message processing flow. This approach is particularly suitable for online customer service and intelligent Q&A systems, improving user experience and satisfaction.

This workflow is primarily used for the automatic generation of Time-based One-Time Passwords (TOTP), enhancing the security and efficiency of multi-factor authentication. Users can manually trigger the generation process to quickly obtain dynamic verification codes, thereby avoiding the complexities and security risks associated with manual generation. It is suitable for scenarios involving automation engineers, IT security teams, and others who need to integrate security authentication mechanisms, helping to automate and simplify the security verification process.

This workflow implements automated task management for the Wekan kanban, capable of automatically creating the kanban along with its to-do and completed task lists, and generating task cards in the to-do list. Users only need to manually trigger the process, which will automatically handle task creation and status updates, significantly improving task management efficiency, reducing manual operation errors, and enhancing transparency and execution in team collaboration. It is suitable for various scenarios such as project management and software development.

This workflow provides an efficient dynamic one-time password (TOTP) verification solution without the need for additional credentials. By using the TOTP key and verification code input by the user, the system can instantly validate the effectiveness of the code, making it suitable for two-factor authentication and security-related automation processes. This solution reduces integration complexity and security risks while enhancing the convenience and accuracy of verification, making it particularly suitable for developers, operations personnel, and security teams.

This workflow provides a secure Webhook solution that utilizes Bearer Token for authentication, ensuring that only authorized clients can access it. It validates the required fields in the request body to ensure data integrity and returns a standardized JSON response. Users can flexibly configure the authentication token and required fields, and after successful validation, custom business logic can be inserted. This is suitable for API interfaces that require strict authentication and data format requirements, ensuring the security and effectiveness of data exchange.