Browse all content tagged with MCP Servers
Integrate the Glean MCP Server with FlowHunt to empower your AI assistants with advanced enterprise search and conversational Q&A using the Glean API. Streamline workflows, access internal knowledge bases, and automate support with a secure, Docker-based setup.
The Burp MCP Server bridges Burp Suite and AI clients via the Model Context Protocol (MCP), enabling automated security testing, workflow automation, and AI-augmented analysis for web application security professionals.
The iFlytek Workflow MCP Server integrates AI assistants with iFlytek's workflow automation platform, enabling seamless scheduling, orchestration, and execution of business and data workflows through the Model Context Protocol (MCP).
The Lightdash MCP Server bridges AI assistants and Lightdash, a modern business intelligence platform, enabling seamless programmatic access to analytics projects, spaces, and charts for automation and intelligent workflows.
The mcp-server-docker MCP Server enables AI assistants to manage Docker containers through natural language. Integrate this MCP with FlowHunt and other clients for automated container orchestration, introspection, debugging, and persistent data management.
The Semgrep MCP Server connects FlowHunt’s AI agents to the powerful Semgrep code analysis engine, enabling automated security scanning, AI-augmented code review, and seamless compliance enforcement within your development workflows.
The Verodat MCP Server bridges AI assistants with Verodat’s powerful data management, allowing seamless data access, automation, and workflow integration directly within development environments.
The Yunxin MCP Server bridges AI assistants with NetEase Yunxin's IM and RTC services, enabling automated messaging, chat history analysis, application monitoring, and real-time communication quality analytics for LLM-powered workflows.
The Amazon Ads MCP Server bridges AI assistants and Amazon Advertising by providing seamless programmatic access to campaign management, reporting, recommendations, and experiments via MarketplaceAdPros. Streamline workflows and unlock AI-driven automation for Sponsored Products, Brands, and Display.
The Campertunity MCP Server connects AI assistants and developer tools to rich camping and outdoor recreation data, enabling campground search, availability checks, detailed information retrieval, and automated bookings via standardized APIs. Designed for seamless trip planning, it powers AI and workflow automation with real-time, up-to-date campground data.
The Cashfree MCP Server enables seamless AI-driven integration with Cashfree APIs, allowing developers to automate payment processing, manage payouts, and verify identities using powerful tools inside FlowHunt and other AI workflows.
The Doris MCP Server connects AI assistants and clients to Apache Doris databases using the Model Context Protocol (MCP), enabling natural language to SQL, advanced monitoring, metadata management, and secure enterprise analytics workflows.
The Fetch MCP Server for FlowHunt enables AI agents to retrieve and transform live web content in multiple formats, including HTML, JSON, plain text, and Markdown—empowering dynamic workflows, data extraction, and real-time content integration.
The Linear MCP Server enables seamless automation and management of Linear issue tracking via the Model Context Protocol, allowing AI assistants and developers to interact programmatically with Linear’s core project management features for enhanced productivity.
The RAG Web Browser MCP Server equips AI assistants and LLMs with live web search and content extraction capabilities, enabling retrieval-augmented generation (RAG), summarization, and real-time research inside FlowHunt workflows.
The Siri Shortcuts MCP Server enables AI assistants and LLMs to interact with the macOS Shortcuts app, automating repetitive tasks, enhancing personal assistant workflows, and orchestrating complex macOS actions through the Model Context Protocol.
The Agentset MCP Server is an open-source platform enabling Retrieval-Augmented Generation (RAG) with agentic capabilities, allowing AI assistants to connect with external data sources, APIs, and services for developing intelligent, document-based applications.
The AlibabaCloud OpenSearch MCP Server connects AI agents and assistants to Alibaba Cloud's OpenSearch, enabling advanced search, vector queries, and seamless data integration for enterprise AI applications through a standardized interface.
The dicom-mcp MCP Server enables seamless, secure, and programmatic access to DICOM servers, including PACS and VNA systems. It empowers AI assistants and developers to query patient records, extract clinical reports, and automate imaging workflows, making medical imaging data accessible and actionable within FlowHunt flows.
The ElevenLabs MCP Server integrates ElevenLabs text-to-speech API into AI workflows, enabling automated, high-quality voice synthesis, voice management, and audio history tracking through standardized Model Context Protocol interfaces.
The JSON MCP Server for FlowHunt enables AI agents and developers to query, filter, and manipulate JSON data sources using standardized tools and operations. It simplifies data analytics, transformation, and automation workflows, providing powerful JSONPath-based querying and advanced filtering features.
The MediaWiki-MCP-adapter enables AI assistants and automation tools to programmatically fetch and edit MediaWiki pages via a streamlined Model Context Protocol (MCP) server, perfect for wiki automation, bulk editing, and knowledge base management.
The Sample S3 MCP Server connects AI agents with AWS S3 buckets, exposing PDF documents as MCP resources and enabling advanced workflows like document retrieval, analysis, enterprise search, and automated reporting within FlowHunt.
Integrate the Ticketmaster MCP Server with FlowHunt to empower your AI assistants with real-time event discovery, venue search, and attraction exploration using the Ticketmaster API. Seamlessly set up and connect your AI workflows to provide users with up-to-date event data, personalized recommendations, and enhanced travel planning.
The Vertica MCP Server enables seamless integration between AI assistants and OpenText Vertica databases, supporting secure SQL operations, bulk data loading, schema inspection, and real-time analytics for enterprise data workflows.
The aws-athena MCP Server connects AI workflows to AWS Athena, enabling AI agents to execute SQL queries directly on data stored in Amazon S3. It streamlines data access, analytics, and code generation for enterprise and automation use cases.
The Heroku MCP Server bridges AI assistants with the Heroku platform, enabling automated app management, deployments, resource monitoring, and configuration via standardized Model Context Protocol (MCP) tools. Integrate Heroku into your AI-driven workflows for streamlined cloud automation.
The iTerm MCP Server enables seamless integration between AI assistants and iTerm2 on macOS, allowing programmatic terminal automation, session management, and command execution directly from FlowHunt or LLM-powered 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 lingo.dev MCP Server bridges AI assistants with external data sources, APIs, and services, enabling structured resource access, prompt templating, and tool execution for advanced LLM workflows.
The LinkedIn MCP Runner enables AI assistants to connect with your public LinkedIn data, powering personalized content creation, analytics, and engagement strategies by leveraging your real posts and writing style.
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 Prometheus MCP Server enables AI assistants to interact with Prometheus metrics using standardized Model Context Protocol (MCP) interfaces. It supports PromQL queries, metric discovery, metadata access, and time-series analytics for automated monitoring and AI-driven infrastructure insights.
