Firebase MCP Server
The Firebase MCP Server bridges AI assistants with Firebase services, enabling seamless integration with Firestore, Storage, and Authentication for smarter, automated workflows in your applications.
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The Firebase MCP Server bridges AI assistants with Firebase services, enabling seamless integration with Firestore, Storage, and Authentication for smarter, automated workflows in your applications.
The GitHub Enterprise MCP Server connects AI assistants to private GitHub Enterprise repositories, enabling automation of repository management, issue tracking, pull request operations, and organizational data insights for enterprise development workflows.
Integrate Gmail into your AI workflows with the Gmail MCP Server. FlowHunt enables AI assistants to send, read, organize, and automate emails securely, leveraging advanced Gmail tools and resources—all via OAuth2 authentication.
The Google Calendar MCP Server enables AI agents to access, manage, and automate Google Calendar events, including listing, creating, updating, and deleting events, handling recurring and smart imports, and checking user availability—all through a secure, extensible Model Context Protocol integration.
The Google Tasks MCP Server bridges AI assistants with Google Tasks, enabling seamless management and automation of tasks directly through standardized protocol actions. Ideal for workflow automation, productivity tools, and personal assistant integrations.
The Graphlit MCP Server connects FlowHunt and other MCP clients to a unified knowledge platform, enabling seamless ingestion, aggregation, and retrieval of documents, messages, emails, and media from platforms like Slack, Google Drive, GitHub, and more. It provides a RAG-ready knowledge base with tools for search, extraction, and content transformation, powering advanced AI workflows.
The iterm-mcp MCP Server bridges AI assistants and your iTerm session, enabling LLMs to execute commands, interact with REPLs, and automate terminal workflows within iTerm. Ideal for developers seeking AI-powered CLI and REPL assistance, with minimal setup and secure integration.
The JDBC MCP Server enables seamless integration between AI assistants and relational databases using the JDBC standard. It allows AI agents to execute database queries, manage records, and interact securely with a variety of SQL databases directly from FlowHunt or other AI-driven workflows.
Integrate your AI assistants with the JFrog Platform API using the JFrog MCP Server. Automate repository management, build tracking, runtime monitoring, artifact search, and vulnerability analysis for enhanced DevOps workflows.
The JMeter MCP Server bridges Apache JMeter with AI-driven workflows, enabling automated performance testing, analysis, and seamless integration in development pipelines. It exposes JMeter’s features as tools and resources for modern, AI-enhanced engineering environments.
JupyterMCP enables seamless integration of Jupyter Notebook (6.x) with AI assistants through the Model Context Protocol. Automate code execution, manage cells, and retrieve outputs using LLMs, streamlining data science workflows and enhancing productivity.
The Keboola MCP Server bridges your Keboola project with modern AI tools, allowing AI assistants and clients to access storage, run SQL transformations, manage components, and orchestrate jobs directly from their environment. This integration significantly streamlines development workflows and unlocks advanced automation scenarios.
The Keycloak MCP Server enables AI-powered management of Keycloak users and realms through a Model Context Protocol (MCP) interface, automating administrative tasks such as user creation, deletion, realm and user listing for streamlined DevOps workflows.
The Kibana MCP Server bridges AI assistants with Kibana, enabling automated search, dashboard management, alert monitoring, and reporting through the standardized Model Context Protocol for powerful, AI-driven workflows.
The Kibela MCP Server connects AI assistants to Kibela workspaces, enabling seamless document search, knowledge management, and workflow automation by providing LLMs access to organizational knowledge bases.
The Kubernetes MCP Server bridges AI assistants and Kubernetes/OpenShift clusters, enabling programmatic resource management, pod operations, and DevOps automation through natural language workflows.
The Kubernetes MCP Server bridges AI assistants and Kubernetes clusters, enabling AI-driven automation, resource management, and DevOps workflows through standardized MCP commands.
The KubeSphere MCP Server enables AI assistants and LLM development tools to seamlessly manage KubeSphere clusters, automating tasks such as workspace, cluster, user, and extension management to boost cloud-native development and DevOps workflows.
The Linear MCP Server integrates the Linear project management platform with AI assistants via the Model Context Protocol, enabling automation, querying, and management of issues, projects, teams, and more for streamlined workflows and improved productivity.
LLDB-MCP connects the LLDB debugger with the Model Context Protocol (MCP), empowering AI agents like Claude to automate, control, and interact with LLDB debugging sessions for streamlined, AI-assisted debugging workflows.
The Loki MCP Server connects AI assistants with Grafana Loki, allowing seamless querying and analysis of log data via the Model Context Protocol. It empowers LLM-driven workflows for log exploration, troubleshooting, and dashboard creation.
The Mailgun MCP Server bridges AI assistants with Mailgun’s email APIs, enabling programmatic email sending, analytics retrieval, and workflow automation within FlowHunt and other AI-powered platforms.
The Make MCP Server bridges FlowHunt AI agents with Make's automation platform, enabling seamless invocation of Make scenarios as callable tools. Empower your AI workflows with dynamic automation, structured data handling, and secure connectivity to Make.
The Markitdown MCP Server bridges AI assistants with markdown content, enabling automated documentation, content analysis, and markdown file management for enhanced developer workflows.
The MCP Containerd server bridges Containerd's runtime with the Model Context Protocol (MCP), enabling AI agents and automation workflows to manage containers, pods, and images programmatically. It empowers DevOps and AI-driven environments with robust container lifecycle and image management through standardized endpoints.
mcp-meme-sticky is a Model Context Protocol (MCP) server that empowers AI assistants to generate memes and convert them into stickers for platforms like Telegram. It bridges LLMs and meme-generation services, simplifying custom meme workflows and sticker automation without external APIs.
MCP-NixOS is a Model Context Protocol server for NixOS, enabling AI assistants and developers to programmatically access and manage NixOS configurations, packages, and system state. It streamlines infrastructure automation, reproducible builds, and AI-powered DevOps workflows.
The mcp-writer-substack MCP Server enables AI assistants like Claude to access, retrieve, and summarize Substack newsletter content within workflows. It streamlines research, content curation, newsletter monitoring, and automated writing assistance by bridging Substack articles directly into AI-powered environments.
The Mesh Agent MCP Server connects AI assistants with external data sources, APIs, and services, bridging large language models (LLMs) with real-world information for seamless workflow integration. It enables tasks like database queries, file management, and API interactions within the Model Context Protocol (MCP) ecosystem.
OctoEverywhere MCP Server bridges AI agents and chatbots with 3D printers, enabling secure, remote control and real-time monitoring. Ideal for developers, makers, and automation workflows, it supports multiple printer brands and offers features like live status, webcam snapshots, and AI-driven print failure detection.
The Office-PowerPoint MCP Server enables advanced, AI-driven creation and manipulation of PowerPoint presentations using the python-pptx library. Integrate with FlowHunt to automate slide generation, content editing, and workflow automation for business, education, and more.
Integrate FlowHunt with the OpenCTI platform using the OpenCTI MCP Server. Enable your AI assistants to access, query, and automate cyber threat intelligence workflows seamlessly via a standardized interface.
The OpsLevel MCP Server bridges AI assistants with OpsLevel's service catalog and engineering data, enabling real-time access to service metadata, compliance automation, and workflow enhancement through API integrations.
Integrate your AI agents with Outline documentation using the Outline MCP Server. Enable document search, content management, collection handling, and comment workflows directly in FlowHunt, enhancing organizational knowledge management and developer productivity.
The putio MCP Server enables seamless integration between AI assistants and the put.io cloud storage service, allowing programmatic management of downloads, transfers, and file access directly from FlowHunt workflows.
The py-mcp-mssql MCP Server provides a secure and efficient bridge for AI agents to interact programmatically with Microsoft SQL Server databases via the Model Context Protocol (MCP). It enables table discovery, data querying, and SQL execution for tasks like analytics, reporting, and workflow automation.
The pydanticpydantic-aimcp-run-python MCP Server bridges AI assistants with secure, controlled Python code execution environments. It enables dynamic Python scripting, automation, and parallel function execution within FlowHunt and compatible platforms.
The Reaper MCP Server connects AI assistants with Reaper project files, providing tools for audio project discovery, structured data extraction, and workflow automation in audio production environments.
The Redis MCP Server bridges AI assistants and Redis-compatible in-memory databases, offering seamless key-value storage, real-time messaging, and advanced automation for AI-driven workflows.
RedNote MCP Server bridges AI assistants and developers with XiaoHongShu (小红书/xhs) by enabling keyword-based note search, direct note and comment retrieval via URL, and persistent authentication management. Enhance your development workflows with seamless access to XiaoHongShu's rich content ecosystem for social content integration, automation, and analysis.
Integrate powerful, programmatic email-sending capabilities into your AI workflows with the Resend MCP Server. Seamlessly connect AI agents to the Resend email API for automating notifications, transactional emails, and workflow communications.
The Salesforce MCP Server connects AI assistants and large language models directly to Salesforce, enabling seamless querying, record management, metadata retrieval, and API integration for automated workflows and business process automation.
The Simple Loki MCP Server integrates Grafana Loki log querying into AI workflows via the Model Context Protocol. It enables AI agents to analyze, filter, and retrieve logs for observability, troubleshooting, and monitoring, using LogQL queries with flexible authentication and multiple output formats.
The Snowflake MCP Server enables seamless AI-powered interaction with Snowflake databases by exposing sophisticated tools and resources via the Model Context Protocol (MCP). Easily execute SQL queries, manage schemas, automate insights, and streamline data workflows—all through standardized MCP interfaces.
The Tavily MCP Server integrates powerful web search, direct answer retrieval, and news aggregation capabilities into FlowHunt and other LLM-powered environments using Tavily's search API. It streamlines research, automation, and context-aware AI solutions by enabling real-time, high-quality information access.
The TeamRetro MCP Server connects AI assistants with the TeamRetro platform, enabling automation of team management, retrospectives, health checks, and analytics through a secure Model Context Protocol interface. Integrate TeamRetro’s collaboration tools and analytics into your AI workflows for enhanced productivity.
The Todoist MCP Server connects AI assistants with Todoist, enabling natural language task management—create, update, complete, and search tasks directly from your FlowHunt workflows for streamlined productivity.
Token Revoke MCP Server empowers FlowHunt users and developers to monitor, manage, and revoke ERC-20 token allowances across over 50 EVM-compatible blockchains—enhancing wallet security, automating risk reporting, and enabling seamless blockchain integration for AI agents and workflows.
The TOS MCP Server enables natural language querying and efficient management of ByteDance Volcengine’s TOS storage resources. Integrate seamlessly with FlowHunt and other developer tools for smarter, automated workflows.
The Trade Agent MCP Server empowers AI agents to interact with leading stock and crypto brokerages via natural-language commands. Execute trades, manage portfolios, and access real-time market data securely through a single, MCP-compatible endpoint.
The tsuki_mcp_filesystem_server is a streamlined MCP server that enables secure search and listing of local filesystem files, providing AI agents with efficient file discovery and management capabilities by exposing the filesystem via the Model Context Protocol.
The Uniswap Trader MCP Server empowers AI agents and developers to automate token swaps, price queries, and multi-chain DeFi trading on Uniswap across Ethereum, Optimism, Polygon, Arbitrum, and more. Securely integrate real-time decentralized trading into your workflows with FlowHunt.
The Unity Catalog MCP Server enables AI assistants and developers to programmatically manage, discover, and manipulate Unity Catalog functions via the Model Context Protocol (MCP). Automate data catalog workflows, streamline function management, and facilitate secure, token-based interactions for modern data engineering and analytics.
The X(Twitter) MCP Server bridges AI assistants and X (Twitter), enabling automated tweet posting, draft management, and thread publishing directly from chat environments like Claude. Integrate seamless social media workflows and automate content management with secure API credential handling.
The Xero MCP Server enables seamless integration between AI assistants and the Xero Accounting Software. It provides secure, programmatic access to Xero’s APIs for automating bookkeeping, managing contacts, handling transactions, and generating financial reports.
Easily add a new column to any Google Sheets document within your automated workflow. This component lets you specify column names and values, seamlessly updating your spreadsheet with new data—ideal for dynamic data management and integration tasks.
Automate your email workflow by applying labels to Gmail messages with the Add Label to Email component. Instantly organize emails by assigning existing or new labels, streamlining inbox management and task automation in your flows.
Easily automate your workflows by adding new rows of data to Google Sheets directly within FlowHunt. The Add Row in Google Sheets component lets you connect your flows to existing spreadsheets, mapping data entries to sheet columns for seamless data management and automation in your business processes.
Easily store important information in your workflow with the Add to Memory component. Seamlessly save data or documents to long-term memory, categorized by custom lookup keys for efficient retrieval and use in advanced automations or chatbots.
The AI Agent component in FlowHunt empowers your workflows with autonomous decision-making and tool-using capabilities. It leverages large language models and connects to various tools to solve tasks, follow goals, and provide intelligent responses. Ideal for building advanced automations and interactive AI solutions.
Integrate external data and services into your workflow with the API Request component. Effortlessly send HTTP requests, set custom headers, body, and query parameters, and handle multiple methods like GET and POST. Essential for connecting your automations to any web API or service.
The Button Widget component in FlowHunt transforms text or input into interactive, clickable buttons within your workflow. Perfect for creating dynamic user interfaces, collecting user choices, and improving engagement in AI-driven chatbots or automated processes.
The Chat Opened Trigger component detects when a chat session starts, enabling workflows to respond instantly as soon as a user opens the chat. It initiates flows with the initial chat message, making it essential for building responsive, interactive chatbots.
The Chat Input component in FlowHunt initiates user interactions by capturing messages from the Playground. It serves as the starting point for flows, enabling the workflow to process both text and file-based inputs.
The Combine Text component in FlowHunt allows you to merge two separate text inputs into a single output, using an optional delimiter. Ideal for workflows that require consolidating information from multiple sources or steps into one coherent message.
The Conditional Router component enables dynamic decision-making within your workflow. It compares input text against a specified value using various operators—such as equals, contains, or is empty—and routes the message to different outputs based on the comparison result. This allows you to branch your flow logic, creating personalized and intelligent workflows that adapt to user input.
The Create Data component enables you to dynamically generate structured data records with a customizable number of fields. Ideal for workflows that require the creation of new data objects on the fly, it supports flexible field configuration and seamless integration with other automation steps.
The Create Event component in FlowHunt lets you automate the creation of events in Google Calendar. Easily specify attendees, event time, description, and more, with options to generate Google Meet links and set reminders—streamlining scheduling in your automated workflows.
Effortlessly generate new Google Docs documents within your automated workflows. The Create Google Docs component lets you specify document content and file name, enabling seamless integration of document creation into AI-driven processes. Perfect for automating document generation, reporting, and collaborative tasks.
Easily automate the creation of Google Slides presentations with the Create Google Presentation component in FlowHunt. Define your presentation title, first slide content, and streamline slide generation for seamless integration into your workflow.
Easily generate new Google Sheets directly within your workflow. The Create Google Sheet component lets you input structured data and instantly create spreadsheets, making it simple to automate data collection, reporting, or sharing results. Integrate with other components to streamline your business and productivity tasks.
Easily automate the creation of slides in Google Slides with the Create Google Slide component. Add new slides to existing presentations with custom titles, content, images, and speaker notes—perfect for dynamic document generation and workflow automation.
Automate email creation with the Send Email component—compose and send emails via Gmail directly within your workflows. Easily set recipients, subject, body, CC/BCC, attachments, and choose to send as reply or draft. Perfect for integrating communication into automated processes.
Easily search and extract information from CSV files in your workflows. The CSV Document Search component lets you find specific data by text search or advanced pandas query expressions, supporting both internal and external CSV sources. Customize search columns, case sensitivity, and result limits to fit your needs—perfect for integrating structured data into automated flows.
Generate CSV files effortlessly within your automated workflows using the CSV Output component. Transform structured data into downloadable CSV format—ideal for exporting results, sharing data, or integrating with external systems.
The Current Date Tool component in FlowHunt enables workflows to access the current date and time, adjustable to a wide range of timezones. Essential for automating tasks and generating time-aware responses, this component makes it easy to integrate up-to-date temporal information into your flows.
The Custom Guardrail component ensures your workflow only continues if user input matches specific topics or criteria, using an LLM-based validation prompt. It acts as a smart filter, blocking irrelevant or undesired inputs and steering the conversation according to your defined rules.
Unlock the power of custom language models with the Custom OpenAI LLM component in FlowHunt. Seamlessly integrate your own OpenAI-compatible models—including JinaChat, LocalAI, and Prem—by specifying API keys and endpoints. Fine-tune core settings like temperature and max tokens, and enable result caching for efficient, scalable AI workflows.
Unlock custom workflows with the Custom Trigger component in FlowHunt. This component allows users to define specific trigger points within their flow, enabling tailored actions based on custom events or inputs. Essential for building interactive and flexible automation workflows.
Leverage the DallE Image Generator component to create images from text prompts directly within your workflow. Powered by OpenAI's DALL-E models, this tool enables you to specify image size, quality, and model version, making it perfect for adding AI-generated visuals to your flows.
Easily automate the removal of events from Google Calendar with the Delete Event component. It connects directly to your calendar, enabling workflows to delete events and optionally notify attendees, streamlining calendar management within your flows.
Integrate real-time web search into your flows with the DuckDuckGo Search component. Instantly fetch up-to-date URLs and content from DuckDuckGo based on user queries, making your workflows smarter and more informed.
The Escalation Gateway component intelligently routes incoming messages based on escalation logic, allowing workflows to switch between automated AI responses and human agent intervention. It tracks escalation status, ensuring seamless transitions and preserving context when human takeover is necessary.
The Export to File component in FlowHunt allows you to save text or data generated during your workflow into downloadable files of various formats, including TXT, PDF, CSV, and more. Easily automate file creation as part of your AI workflows.
Transform your markdown or text content into downloadable HTML files with the Export to HTML component in FlowHunt. Effortlessly convert user-generated input into well-structured HTML, making it easy to share, display, or archive workflow outputs.
Transform text into ready-to-download PDF files with the Export to PDF component in FlowHunt. Seamlessly convert markdown or plain text from your workflow into a PDF document, ideal for generating reports, summaries, or formatted documents on demand.
The File Retriever component in FlowHunt lets you bring files into your workflow and convert them into documents for further processing. It supports strategies for handling multiple documents and can use OCR on images within files, making it ideal for extracting and transforming information from a wide variety of file types.
Streamline your workflows with the Filter Data component—quickly extract specific information from data inputs using dynamic key-value filters, similar to filtering a Python dictionary. Essential for refining and narrowing down data within complex automation flows.
Easily identify optimal time slots for scheduling events by analyzing calendar availability. The Find Available Times component checks free and busy blocks across user and attendee calendars, returning the best available times in chronological order. Ideal for automating scheduling tasks and streamlining meeting coordination.
The Find Email By ID component allows you to retrieve an email using its unique identifier within your automated workflows. Designed for seamless integration, it returns the email as a message and can be flexibly connected with other tools or data sources to streamline information retrieval tasks.
Generate stunning images from text prompts with the Flux Image Generator component in FlowHunt. Customize output with model selection, image ratio, and guidance options. Perfect for workflows that need dynamic visual content powered by advanced AI models.
The Followup Questions component in FlowHunt intelligently generates relevant questions for users to ask next, based on the current conversation, context, and previous answers. It leverages AI models and chat history to improve the depth and precision of follow-up inquiries, supporting better understanding of any topic.
Easily transform raw calendar event data into clear, user-friendly summaries with the Format Event Display component. Customize how event lists are shown—choose between table or bullet point formats, filter by time range or search term, and limit the number of results or attendees for concise output.
Explore the Generator component in FlowHunt—powerful AI-driven text generation using your chosen LLM model. Effortlessly create dynamic chatbot responses by combining prompts, optional system instructions, and even images as input, making it a core tool for building intelligent, conversational workflows.
Retrieve detailed contact information from HubSpot CRM by specifying a Contact ID. The Get Contact by ID component connects your workflow to HubSpot, enabling seamless data access for automation, personalization, or integration with other tools.
The Get Flow Variable component enables you to access variables and parameters within your workflow, making it easy to retrieve data stored earlier in the flow. It ensures that essential information is available for subsequent steps, supporting dynamic and context-aware automation.
The Get Order Status component connects your FlowHunt workflow to Shopify, allowing you to fetch real-time order status information by providing an order number. Essential for automating order tracking, customer support, or e-commerce flows, it seamlessly integrates Shopify data into your AI workflows.
The Get Products component connects your FlowHunt workflow to a Shopify store, allowing you to fetch and sort product listings directly from your integrated shop. Easily pull product data by criteria like best-selling, price, or relevance to streamline e-commerce automations and chatbot responses.
The Gmail New Message Trigger component starts your workflow automatically whenever a new email is received in your Gmail inbox. Instantly capture incoming messages, sender, recipient, and file attachments to power responsive, automated flows.
Integrate your workflows with Google Docs using the Google Docs Retriever component—seamlessly fetch document content for use in automations, chatbots, or knowledge workflows. Ideal for accessing, processing, and leveraging your Google Docs within FlowHunt flows.