Browse all content tagged with Documentation
The Cloudflare MCP Server bridges AI assistants and Cloudflare’s cloud services, enabling natural language automation for configurations, logs, builds, and documentation. Easily integrate Cloudflare’s APIs and observability into AI-powered workflows with secure, robust setup.
DocsMCP is a Model Context Protocol (MCP) server that empowers Large Language Models (LLMs) with real-time access to both local and remote documentation sources, enhancing developer workflows and AI-powered assistance by enabling instant, context-aware documentation lookup.
MCP Discovery is a Rust-based command-line tool that automates the discovery and documentation of MCP Server capabilities, tools, and resources. It generates comprehensive, up-to-date documentation in Markdown, HTML, or text formats for seamless integration into developer workflows and CI pipelines.
The Microsoft Docs MCP Server provides real-time, authoritative access to Microsoft documentation for AI assistants, IDEs, and development tools. Enhance workflows with up-to-date, trustworthy content from Microsoft Learn, Azure, Microsoft 365, and more.
The OpenAPI MCP Server connects AI assistants with the ability to explore and understand OpenAPI specifications, offering detailed API context, summaries, and endpoint information for developers and LLMs without direct endpoint execution.
The ScreenshotOne MCP Server bridges AI assistants with the ScreenshotOne API, enabling automated website screenshot capture for development, QA, reporting, and documentation workflows. Integrate real-time visual context into your FlowHunt flows securely and efficiently.
The Starwind UI MCP Server integrates Starwind UI-specific development tools with AI assistants, enabling automated project setup, component management, documentation retrieval, and package manager detection for streamlined UI development workflows.
The Azure Wiki Search MCP Server enables AI agents and developers to programmatically search and retrieve content from Azure DevOps wiki, streamlining access to internal documentation and knowledge bases through the MCP specification.
The LLM Context MCP Server bridges AI assistants with external code and text projects, enabling context-aware workflows for code review, documentation generation, and project exploration via the Model Context Protocol (MCP).
The OpenAPI Schema Explorer MCP Server enables efficient, structured access to OpenAPI/Swagger specifications as MCP Resources, bridging AI assistants and developers with API documentation for exploration, schema validation, and automation.
The GraphQL Schema MCP Server empowers AI assistants and developers to explore, analyze, and document GraphQL schemas programmatically. With a suite of robust tools, it enables schema discovery, type inspection, field lookups, and pattern-based searches, streamlining API integration and documentation workflows.
The Inkeep MCP Server connects AI assistants and developer tools to up-to-date product documentation managed in Inkeep, enabling direct, secure, and efficient retrieval of relevant content for RAG workflows, chatbots, and onboarding solutions.
The OpenAPI Schema MCP Server exposes OpenAPI specifications to Large Language Models, enabling API exploration, schema search, code generation, and security review by providing structured access to endpoints, parameters, and components.
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.
Scrapling Fetch MCP Server enables AI assistants and chatbots to access text and HTML content from websites with bot protection, making it possible to retrieve documentation and reference materials for enhanced development workflows.
The Note component in FlowHunt lets you add comments and documentation directly into your workflow. Use it to clarify, annotate, or provide instructions within your flow, making complex automations easier to understand and maintain.
Discover how a PDF to Article Generator transforms complex technical documentation into SEO-optimized, readable web content. Learn about its features, benefits, and how it enhances internal linking strategies for improved site traffic and user engagement. Explore related tools on FlowHunt.io.
