Developers: workflows your whole team can run

Deploys, monitoring, and repo chores that run in the cloud instead of on one engineer's machine.

28 recipes found

Http

Notion API MCP server

The Notion API MCP Server automation bridges the gap between your AI assistants and your company's knowledge base. By connecting your n8n workflows directly to Notion via the Model Context Protocol, you allow your AI tools to securely read, write, and update pages in real-time. This eliminates the need for manual data entry and ensures that your project trackers, meeting notes, and documentation remain current without constant human intervention. For business leaders, this means faster decision-making based on live data and a centralized source of truth that updates itself. Instead of toggling between tabs to find information, your team can interact with Notion data directly through an AI interface, significantly reducing administrative overhead and improving data accuracy across the organization. This automation transforms Notion from a static repository into a dynamic, AI-enabled workspace that actively supports your business operations.

See the recipe
Http

Ai agent integration with eBay Buy Marketing API

The eBay Buy Marketing API automation transforms how e-commerce businesses discover and promote inventory. By leveraging the Model Context Protocol (MCP), this tool allows you to programmatically access eBay's marketing data to find the most relevant products for your specific audience. Instead of manually searching through seller dashboards, you can automatically retrieve product recommendations, trending items, and high-conversion listings based on specific search criteria. This automation is designed to bridge the gap between eBay's vast marketplace data and your own marketing platforms, enabling data-driven decision-making for inventory acquisition and promotion. For businesses looking to scale their affiliate marketing or dropshipping operations, this tool provides the necessary infrastructure to identify high-potential products instantly, ensuring your marketing efforts are always backed by real-time marketplace insights. By automating the discovery phase, you reduce overhead and increase the speed at which you can launch new campaigns or update existing product feeds.

See the recipe
Copper-api-key

Let AI agents run your CRM with Copper Tool MCP Server πŸ’ͺ all 32 operations

The Copper Tool MCP Server automation transforms your CRM from a static database into an intelligent, conversational asset. By connecting Copper CRM to the Model Context Protocol, this workflow allows your AI agents to interact directly with your sales data in real-time. Instead of manually searching through records or generating complex reports, business users can now use natural language to query lead status, update contact information, and summarize deal progress. This automation eliminates the friction between data entry and data insight, ensuring that your sales team spends less time navigating software and more time closing deals. It acts as a bridge that gives your AI the context it needs to provide accurate, business-specific recommendations based on your actual customer relationships. Whether you are looking to streamline your pipeline management or provide your team with an instant sales assistant, this integration ensures your Copper data is always accessible and actionable through simple, AI-driven interfaces.

See the recipe
StickyNote Langchain.mcpTrigger HttpRequestTool

Swagger2OpenAPI converter MCP server

Managing legacy documentation should not slow down your digital transformation. The Swagger2OpenAPI Converter automates the tedious process of upgrading outdated API specifications into the modern OpenAPI standard. This automation ensures that your existing technical infrastructure is ready for modern AI integrations and advanced application development. By converting legacy Swagger files instantly, your team avoids manual rewriting and reduces the risk of documentation errors that lead to broken integrations. This tool acts as a bridge between your established systems and the latest AI-driven platforms, allowing you to leverage your existing data and services without technical debt holding you back. Business leaders can now ensure their entire API catalog is standardized, searchable, and compatible with the next generation of software tools. By maintaining up-to-date specifications, you maximize the value of your current technical assets and accelerate the deployment of new AI-powered features across your organization.

See the recipe
StickyNote Langchain.mcpTrigger SentryIoTool

πŸ› οΈ Sentry.io tool MCP server πŸ’ͺ all 25 operations

The Sentry.io Tool MCP Server automation bridges the gap between technical monitoring and actionable business insights. By integrating Sentry's robust error tracking with an AI-powered interface, this automation allows teams to query, analyze, and resolve application issues using natural language. Instead of manually navigating complex dashboards to find the root cause of a software bug, business analysts and product managers can interact directly with their technical data to understand how errors impact user experience and system stability. This automation streamlines the incident response process, ensuring that critical issues are identified and prioritized based on their actual business impact. By centralizing error data within a conversational app interface, organizations can foster better collaboration between development and operations teams, leading to faster resolution times and a more reliable digital product for customers.

See the recipe
Discourse

πŸ› οΈ Discourse tool MCP server πŸ’ͺ all 16 operations

Managing a thriving Discourse community requires constant attention to keep discussions productive and ensure members receive timely responses. The Discourse Tool MCP Server automation transforms your forum into an intelligent, responsive ecosystem by connecting your community data directly to AI-driven workflows. Instead of manually monitoring every thread, this solution allows you to automate complex community management tasks such as summarizing long discussions, identifying trending topics, and providing instant, accurate answers to frequently asked questions. By leveraging the Model Context Protocol, your AI agents gain the ability to interact with your forum just like a human moderator would, but with the speed and scale of automation. This leads to higher member engagement, faster resolution times for support queries, and a more organized knowledge base. Business leaders can now maintain a high-quality community presence without increasing headcount, ensuring that every customer interaction is handled with consistency and expertise. This automation bridges the gap between raw community data and actionable insights, making your Discourse forum a more valuable asset for your brand.

See the recipe
StickyNote Langchain.mcpTrigger HttpRequestTool

Convert and manipulate PDFs with Api2Pdf and AWS Lambda

This automation streamlines the transition from raw data to professional, high-quality PDF documents. By leveraging the power of Api2Pdf and AWS Lambda through a Model Context Protocol (MCP) server, your business can generate invoices, reports, and contracts instantly. Instead of manually formatting documents or struggling with complex styling, this workflow handles the conversion process automatically. It allows your team to focus on high-value tasks while ensuring that every document produced is consistent, accurate, and ready for distribution. Whether you are converting HTML, URLs, or raw text into a polished file, this tool provides a scalable solution for high-volume document needs. The integration with AI-driven triggers means you can generate these files using simple commands or structured data inputs, making document creation as easy as sending a message. This solution eliminates the friction of manual document preparation and ensures your business maintains a professional image with every file sent.

See the recipe
StickyNote Langchain.mcpTrigger HttpRequestTool

Sms messaging API integration for AI agents with BulkSMS

The BulkSMS JSON REST API MCP Server automation bridges the gap between your AI-powered workflows and global mobile communication. By integrating this recipe, your applications can programmatically send SMS messages, check account balances, and manage messaging traffic directly through a Model Context Protocol interface. This eliminates the need for manual message drafting and delivery, allowing your business to scale its outreach efforts instantly. Whether you are sending time-sensitive alerts, appointment reminders, or promotional updates, this automation ensures your communications reach your customers' pockets in seconds. By leveraging the BulkSMS global network, you gain a reliable channel for high-priority notifications that demand immediate attention, all managed through a streamlined AI interface that understands your business context. This results in higher engagement rates, improved operational efficiency, and a more responsive communication strategy that works around the clock.

See the recipe
Airtop

Automated web browsing & extraction with Airtop and AI-prompted queries

This automation bridges the gap between artificial intelligence and the live web, enabling businesses to deploy AI agents that navigate websites exactly like a human team member. By utilizing the Model Context Protocol and Airtop, this solution allows you to move beyond the limitations of traditional APIs. You can now instruct an AI to find specific information, interact with complex web portals, or monitor competitor pricing in real-time. This is particularly valuable for organizations that rely on web-based software or legacy platforms that lack direct integration options. By automating these intricate web-based tasks, your team can eliminate hours of repetitive manual browsing and focus on high-level strategic initiatives. The system handles the navigation, data extraction, and task execution autonomously, ensuring your business processes stay synchronized with the most current web data available. It transforms a standard AI interface into a functional web operator that delivers tangible business results and operational efficiency across your entire organization.

See the recipe
Mautic

πŸ› οΈ Mautic tool MCP server πŸ’ͺ all 20 operations

This automation bridges the gap between your marketing automation platform and your daily planning tools using the Model Context Protocol (MCP). By connecting Mautic with a structured note-taking interface, it allows business teams to interact with their marketing data through an AI-driven interface. Instead of manually digging through CRM reports or lead lists, users can trigger workflows that extract specific campaign insights, lead behaviors, or segment data and visualize them as actionable notes. This streamlined approach ensures that marketing intelligence is always accessible and formatted for immediate decision-making. The primary value lies in reducing the time spent navigating complex marketing software, allowing managers to focus on strategy and conversion rather than data entry and retrieval. By centralizing these insights, teams can maintain a more agile response to customer trends and campaign performance metrics.

See the recipe
Google Drive

AI-powered file management automation for Google Drive with MCP

The Google Drive MCP automation transforms your cloud storage into an intelligent, searchable knowledge base that your AI agents can navigate with precision. Instead of manually clicking through folders or struggling with basic keyword searches, this integration allows you to interact with your Google Drive using natural language. It bridges the gap between your company's unstructured data and actionable insights by providing a direct interface for AI models to locate, read, and process documents, spreadsheets, and presentations. For business users, this means a significant reduction in administrative overhead and the elimination of time wasted searching for specific information across fragmented directories. By enabling your AI tools to understand the context of your stored files, you can automate complex research tasks, summarize long-form reports instantly, and ensure that your team always has the most relevant data at their fingertips. This workflow is essential for organizations that rely on Google Workspace and want to leverage artificial intelligence to enhance productivity and information retrieval.

See the recipe
Langchain.chatTrigger Langchain.agent Langchain.lmChatOpenAi Langchain.mcpClientTool +2

Build a scalable AI chatbot with Pipedream, Calendly and Gmail

The Pipedream MCP server automation bridges the gap between sophisticated AI interactions and practical task management. By integrating n8n's LangChain capabilities with StickyNote, this workflow allows business users to transform conversational insights into actionable digital notes instantly. Instead of manually copying details from an AI chat into a task list or reminder system, this automation captures the essence of your conversation and logs it as a structured note. This ensures that brainstorming sessions, meeting summaries, or quick ideas generated during AI interactions are never lost. For businesses, this means a more fluid transition from strategy to execution, reducing the cognitive load on team members and ensuring that key action items are documented in real-time. By automating the documentation process, teams can maintain focus on high-level decision-making while the system handles the administrative task of record-keeping.

See the recipe
StickyNote Langchain.mcpTrigger HttpRequestTool

Query bicycle incident data with BikeWise API through MCP server

This automation integrates the BikeWise API into your business environment, allowing your AI-powered applications to access real-time data on bicycle thefts, incidents, and recoveries. By leveraging the Model Context Protocol, your team can instantly retrieve incident reports based on specific locations, dates, or bicycle descriptions. This tool is essential for organizations that need to verify the history of a bicycle before processing a transaction, managing an insurance claim, or conducting security audits. Instead of requiring staff to manually browse external databases, this automation brings the data directly into your workflow, enabling faster decision-making and improved accuracy. The system streamlines the verification process, significantly reducing the risk of handling stolen property and enhancing the reliability of your service offerings. It transforms raw public incident data into a structured, searchable asset that your business can use to protect inventory, validate claims, and monitor local safety trends without any manual data entry.

See the recipe
Matrix

πŸ› οΈ Matrix tool MCP server πŸ’ͺ all 11 operations

This automation bridges the gap between advanced AI capabilities and your daily collaborative workspace. By leveraging the Model Context Protocol (MCP), this workflow enables a seamless connection between Matrix communication channels and your digital whiteboards or sticky notes. Instead of manually transferring ideas from a chat conversation into a planning tool, this automation captures information in real-time and organizes it into actionable visual notes. This is particularly valuable for teams who brainstorm in decentralized environments and need a centralized, structured way to track initiatives. It eliminates the administrative overhead of documentation, ensuring that no critical insight is lost during fast-paced discussions. By automating the transition from conversation to visual planning, your team can focus on execution rather than manual data entry, significantly accelerating the project lifecycle and improving overall organizational transparency.

See the recipe
Langchain.agent Langchain.chatTrigger Langchain.lmChatOpenAi Langchain.mcpClientTool +1

Control your discord server with natural language via GPT4o and MCP Client

The Discord MCP Chat Agent transforms your Discord server into a sophisticated business intelligence hub. By leveraging the Model Context Protocol, this automation allows team members to interact with an AI agent that has direct access to your company’s internal documentation and notes stored in StickyNote. Instead of manual data entry or searching through endless message threads, users can query the agent to retrieve information, summarize project updates, or capture new insights instantly. This solution eliminates information silos by ensuring that critical knowledge is accessible where your team already communicates. It streamlines decision-making by providing context-aware responses based on your actual business data, significantly reducing the time spent on administrative overhead and knowledge retrieval. By bridging the gap between your communication platform and your knowledge base, you ensure that every team member has the most relevant information at their fingertips exactly when they need it.

See the recipe
n8n.io Predis.ai

Build your own N8N workflows MCP server

This Model Context Protocol (MCP) automation serves as a robust orchestration layer that connects your AI models with your internal business data. By implementing a standardized communication framework, this workflow allows your AI agents to retrieve, filter, and process information from disparate systems with high precision. It utilizes high-speed Redis caching to maintain context across interactions, ensuring that your AI assistants provide fast and accurate responses grounded in your actual business logic. The automation handles the complex task of splitting and aggregating data, which prevents information overload and ensures the AI receives only the most relevant details for any given task. This eliminates the common problem of AI hallucinations by providing a reliable source of truth. Business operations benefit from a centralized hub where AI-driven processes can be managed, monitored, and scaled without requiring manual data entry or constant human oversight. It transforms standard AI models into specialized business tools that understand your specific operational nuances and data structures.

See the recipe
Salesmate

πŸ› οΈ Salesmate tool MCP server πŸ’ͺ all 15 operations

The Salesmate Tool MCP Server automation transforms your CRM from a static database into a responsive AI assistant. By connecting Salesmate directly to the Model Context Protocol, this workflow enables your team to interact with sales data using natural language. Instead of navigating complex menus to update lead status or retrieve client history, team members can simply ask the AI to perform these tasks. This eliminates the friction of administrative overhead, allowing sales representatives to focus on building relationships rather than managing software. The automation ensures that your sales pipeline remains accurate and up-to-date by making data entry as simple as a conversation. Whether you need to quickly pull a summary of recent interactions before a meeting or update a deal progress on the fly, this tool provides the immediate access and control required in a fast-paced sales environment. By centralizing CRM actions within an AI-driven interface, you empower your staff to work more intelligently and respond to opportunities with greater speed and precision. This integration bridges the gap between sophisticated AI reasoning and your core sales operations.

See the recipe
StickyNote Langchain.mcpTrigger HttpRequestTool

Expose eBay browse API for AI agents with MCP server

This automation integrates the eBay Browse API directly into your AI workflows using the Model Context Protocol (MCP). By connecting your AI agents to eBay's vast marketplace data, you empower your business to conduct real-time market research, monitor competitor pricing, and source inventory with unprecedented speed. Instead of manually searching through listings, this tool allows an AI to programmatically scan, filter, and analyze millions of products based on your specific criteria. This capability is vital for businesses involved in retail arbitrage, procurement, or secondary market sales where timing and data accuracy are critical. The automation handles the complex data retrieval process, delivering structured information about product availability, pricing trends, and seller metrics directly to your business applications. By automating these research tasks, your team can move from manual data collection to high-level strategic decision-making, ensuring you never miss a market opportunity or a competitive price shift.

See the recipe
StickyNote Langchain.mcpTrigger GoogleTranslateTool

Expose translate endpoint to AI Agents via πŸ› οΈ Google Translate Tool MCP Server

This automation bridges the gap between your global communication needs and professional-grade translation technology. By leveraging the Model Context Protocol (MCP), this workflow transforms Google Translate into a dedicated internal tool that your team can access directly through a custom application. Instead of manually copying text into external websites, your business can now integrate language translation into standardized workflows, ensuring consistency and speed across departments. For companies operating in multiple regions, this tool is essential for maintaining high-quality interactions with international clients and partners. It removes the friction of language barriers in customer support, sales outreach, and internal documentation. By automating the translation process, you reduce the risk of human error and significantly decrease the time spent on manual administrative tasks. This solution empowers your team to communicate effectively in over 100 languages, allowing you to scale your operations globally without the overhead of hiring dedicated translation staff for every market. The result is a more agile, responsive, and truly global business presence.

See the recipe
Supabase

MCP Supabase server for AI agent with RAG & multi-tenant CRUD

This automation transforms your Supabase database into an intelligent assistant capable of managing complex data tasks through simple conversation. By leveraging the Model Context Protocol (MCP), the agent acts as a direct interface between your business users and your backend data, eliminating the need for manual SQL queries or complex internal dashboards. Business teams can now retrieve specific records, update customer information, and generate real-time insights by simply asking the AI. This reduces the burden on technical teams and empowers department heads to make data-driven decisions instantly. The integration ensures that data remains structured and secure while becoming significantly more accessible to non-technical staff. Whether you need to audit recent transactions or modify inventory levels, this automation handles the technical execution in the background. It streamlines operational workflows by providing a natural language layer over your production data, ensuring that your team spends less time navigating tables and more time acting on information.

See the recipe
Telegram Pipedrive BigMailer

Build a Pipedrive MCP server with Google Gemini AI

This automation transforms Telegram into a high-performance command center for your sales operations. By bridging the gap between your mobile messaging app, Pipedrive CRM, and Gmail, it allows sales professionals to manage their entire pipeline without ever switching between complex software interfaces. When you are on the move, you can instantly update deal stages, log critical notes in Pipedrive, and trigger personalized follow-up emails through Gmail directly from a Telegram chat. This eliminates the administrative friction that often leads to delayed data entry and missed opportunities. Business leaders benefit from real-time CRM accuracy and improved visibility into the sales funnel, while account executives regain hours of productive time previously spent on manual synchronization. Whether you are between meetings or traveling, this solution ensures that your CRM remains a reliable single source of truth and your client communication remains prompt. It acts as an intelligent sales assistant that handles the heavy lifting of CRM administration, allowing your team to focus on closing deals rather than managing data.

See the recipe
Dropbox

Dropbox file management automation suite for bulk operations

The Dropbox MCP Automation transforms your cloud storage into an intelligent workspace by connecting your file system directly to AI-driven workflows. Instead of manually searching through folders or organizing documents, this automation allows you to interact with your Dropbox files using natural language commands. By bridging the gap between your data and actionable insights, it eliminates the time-consuming process of file management and information retrieval. Business users can instantly surface critical documents, summarize project files, or organize digital assets without leaving their primary workspace. This integration ensures that your team spends less time navigating directory structures and more time utilizing the information contained within them. Whether you are managing client contracts, marketing assets, or internal reports, this tool provides a centralized, intelligent interface to manage your entire Dropbox library efficiently. The result is a more organized file system and a significant reduction in administrative overhead.

See the recipe
Cisco Webex

πŸ› οΈ Webex by Cisco tool MCP server πŸ’ͺ all 10 operations

The Webex by Cisco MCP automation bridges the gap between your AI agents and your primary communication hub. By turning complex Webex operations into accessible tools for AI, this automation allows your business to manage team collaboration with unprecedented speed. Instead of manually navigating through chat rooms or searching for specific messages, your team can leverage an AI-powered interface to retrieve information, post updates, and manage workspace interactions through simple natural language commands. This results in significant time savings for project managers and team leads who need to maintain visibility across multiple channels without constant context switching. By centralizing communication management through an AI-driven app, you ensure that critical information is always accessible and that team members remain informed without the overhead of manual data entry or repetitive messaging tasks.

See the recipe
StickyNote Langchain.mcpTrigger SecurityScorecardTool

πŸ› οΈ SecurityScorecard tool MCP server πŸ’ͺ all 19 operations

The SecurityScorecard Tool MCP Server automation bridges the gap between complex cybersecurity data and actionable business intelligence. By integrating SecurityScorecard directly into your AI-driven workspace, this automation allows teams to instantly retrieve and analyze the security posture of any vendor or partner without leaving their primary application. Instead of manually navigating through security portals, business users can leverage AI to pull real-time risk ratings, identify vulnerabilities, and monitor compliance benchmarks. This streamlined access to risk data empowers organizations to make faster, more informed decisions during procurement, vendor assessments, and ongoing risk management. The result is a proactive security culture where critical risk information is available at the moment it is needed most, reducing the window of exposure and ensuring that third-party partnerships remain secure and compliant with corporate standards.

See the recipe
Pushbullet

πŸ› οΈ Pushbullet tool MCP server πŸ’ͺ all 4 operations

This automation streamlines the transition from digital insights to physical action by bridging your AI assistant with your mobile devices. By utilizing the Model Context Protocol, the workflow allows your AI to act as a proactive administrative assistant. When the AI identifies a key insight, task, or reminder, it automatically logs the information as a visual note and sends an immediate push notification to your phone or desktop. This eliminates the need for manual data entry and ensures that critical information is never buried in a chat log. For business users, this means a more responsive workflow where strategy turns into execution instantly. You can capture leads, set urgent reminders, or distribute project updates across your devices without leaving your conversation with the AI. The system handles the administrative burden of information distribution, allowing you to focus on high-level decision-making. By centralizing your note-taking and decentralizing your alerts, this automation provides a robust framework for real-time communication and ensures you remain productive and informed regardless of your location.

See the recipe
Storyblok

πŸ› οΈ Storyblok tool MCP server πŸ’ͺ all 7 operations

Managing digital content across multiple channels often requires manual, repetitive tasks within your CMS. The Storyblok Tool MCP Server automation bridges the gap between AI intelligence and your Storyblok infrastructure. By converting your n8n workflows into a dedicated application through Runwork, this tool allows business users to manage their headless CMS using natural language and automated triggers. Instead of navigating complex menus, team members can instruct the AI to update entries, fetch content for review, or synchronize data across different spaces. This automation eliminates the technical barrier to entry for content management, ensuring that marketing teams, editors, and product managers can maintain a high velocity of updates without needing developer intervention. The result is a more agile content operation where the focus shifts from technical maintenance to strategic storytelling. By streamlining the interaction with Storyblok, businesses reduce the risk of manual entry errors and significantly decrease the time required to push updates live, ultimately driving better digital experiences for your customers and stakeholders.

See the recipe
Onfleet

πŸ› οΈ Onfleet tool MCP server πŸ’ͺ all 37 operations

Managing a delivery fleet requires precision, but information often starts as unstructured notes or quick instructions. This Runwork automation bridges the gap between planning and execution by connecting your internal note-taking tools directly to your delivery operations. By leveraging the Model Context Protocol, this application allows you to transform digital sticky notes into actionable delivery tasks within Onfleet automatically. Instead of manually copying addresses, customer details, and delivery windows from your internal planning documents into your dispatch software, the AI handles the data entry for you. This significantly reduces the risk of human error, ensures that drivers receive accurate information immediately, and frees up dispatchers to focus on high-level routing strategy rather than manual typing. Whether you are managing a local courier service or a large-scale distribution network, this automation ensures that every detail captured in your initial planning phase is accurately reflected in your last-mile execution. The result is a more responsive logistics chain, faster turnaround times from order to dispatch, and a reduced administrative burden on your operations team.

See the recipe
Switch SplitOut HttpRequest Set +3

πŸ‘² Monitor & debug n8n workflows with Claude AI assistant and MCP server

πŸ‘² Monitor & debug n8n workflows with Claude AI assistant and MCP server

See the recipe

Why Runwork for Developers

Anyone on the team can use it

You get forms and dashboards people can open, not workflow logic buried in a tool one person knows.

Your own agent adapts it

Claude, ChatGPT, Cursor, whichever your team already uses. Tell it what is different about your process.

It keeps running

It lives in your team cloud and runs on schedule, so it does not stop the moment someone closes a laptop.

Explore Other Categories

Ask your own AI about this