Query Okareo documentation to understand concepts like Scenarios, Checks, Targets, Drivers, Evaluations, and Simulations. Choose conceptual mode for technical detail or user_legible for plain-language explanations.
Apache 2.0
606,387 tools. Updated 2026-09-24 07:42
"Automated technical documentation generation system for software projects" matching MCP tools:
- Retrieve Echo3s technical specifications—supported formats, AI processing details, output quality, credit system, and platform info.MIT
- Search IMAGIN.studio documentation for integration guides, API concepts, and troubleshooting steps. Use specific technical terms to get accurate results.Apache 2.0
- Retrieve detailed system profiles for hosts, including CPU, memory, network, disks, BIOS, and software configuration. Use for hardware and installed-software analysis.Apache 2.0
- Discover software products by technical attributes, company associations, or use cases using tags instead of traditional categories.MIT
- Generate C4 Context, Container and Component architecture diagrams for mixed technical and non-technical stakeholders from a system description.MIT
Matching MCP Servers
- AlicenseNot gradedqualityAmaintenanceProject management CLI + MCP server for AI agents. Register projects once, open them anywhere, sync to S3, auto-init git, and wire into the hasna ecosystem.4,335 npmApache 2.0
- FlicenseNot gradedqualityCmaintenanceEnables managing GitHub Projects v2 boards through Claude Code and Codex, including project and item administration, field updates, sprint boards, epic rollups, and desired-state planning.-
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- Produce an EU AI Act Annex IV-compliant technical documentation template. Fill in bracketed sections with system details, data, architecture, and risk management info.MIT
- Perform web searches with cited sources and summaries for current events, factual research, technical documentation, and comparative analysis using Perplexity AI.MIT
- Generate a complete EU AI Act audit report by classifying the AI system, checking compliance, generating documentation, and assessing penalties.MIT
- Initiates asynchronous AI generation of evidence-collection recipes for a system. Returns HTTP 202; poll status for progress.MIT
- Search technical documentation on a specific domain by submitting a query and the domain URL.MIT
- Call first to get workflow documentation for using the image/video generation server: available tools, uploads, editing, resumable video generation, downloads.MIT
- Search for code snippets within a specific LHCb software stack, automatically resolving correct Git references for projects in that stack.AGPL 3.0
- Search design platforms like Dribbble and Behance for UI inspiration, case studies, and design system documentation to inform your creative projects.MIT
- Convert UI screenshots into production-ready code, image-generation prompts, technical specifications, or detailed descriptions.MIT
- Retrieve Homey system details including software version, hostname, Wi-Fi network, and hardware specifications.MIT
- List available system and custom personas for content generation, enabling you to select the appropriate voice for social media posts.MIT
- Analyze and explain technical diagrams such as architecture, flowcharts, UML, and ER diagrams to understand their structure and components.Apache 2.0
- Retrieve precise code snippets or concise answers from official documentation for technical queries. Specify the software/library topic and your query to get exact solutions without unnecessary explanations.MIT
- Analyzes project structure and performs deep code analysis using language-specific AST parsers to generate documentation for multi-language projects.MIT
- List all HoloViz and custom projects with indexed documentation. Use this to discover available projects for documentation queries.BSD 3-Clause