llms.txt
# Stackness
> Stackness is a social platform where people in IT share, discover and discuss the tools, workflows and approaches behind how they work.
Stackness exposes a public REST API and an MCP (Model Context Protocol) server, so AI assistants can read and manage Stackness stacks for the people who own them.
## Documentation
- [REST API reference](https://stackness.dev/docs/api): Complete reference for all 171 REST API endpoints - authentication, request/response formats, and code examples
- [MCP server guide](https://stackness.dev/docs/mcp): Connect any MCP client to the hosted Stackness MCP server to manage stacks, moves, and feeds
- [Integrations](https://stackness.dev/integrations): Overview of the hosted MCP server, REST API, and API keys for connecting Stackness to your setup
## Content
- [Blog](https://stackness.dev/blog): Product updates, trend roundups and explainers from the founder
- [Tool directory](https://stackness.dev/tools): Browse the developer tool catalog by category
- [Explore](https://stackness.dev/explore): Trending tools and moves across the community
## Catalog
- [Editor & IDE](https://stackness.dev/categories/editor-ide): Code editors, IDEs and notebook environments
- [Terminal & Shell](https://stackness.dev/categories/terminal-shell): Terminal emulators, shells, multiplexers, prompts and command-line utilities
- [AI Tools](https://stackness.dev/categories/ai-tools): AI coding assistants, agents and chat apps
- [LLMs](https://stackness.dev/categories/llms): Large language model families such as Claude, GPT, Gemini and Mistral
- [Languages & Frameworks](https://stackness.dev/categories/languages-frameworks): Programming languages, frameworks, runtimes and libraries
- [DevOps & Infrastructure](https://stackness.dev/categories/devops-infrastructure): Cloud platforms, databases, containers, CI/CD, version control and monitoring
- [Design & Collaboration](https://stackness.dev/categories/design-collaboration): Design and whiteboard tools, project trackers, docs and team chat
- [Hardware](https://stackness.dev/categories/hardware): Laptops, desktops, monitors, keyboards, mice, headphones and desks
- [Browser & Extensions](https://stackness.dev/categories/browser-extensions): Web browsers, browser developer tools and extensions
- [Misc](https://stackness.dev/categories/misc): Package managers, build tools, linters, test runners, API clients and other utilities
- [Trending](https://stackness.dev/trending): Weekly and monthly top tools and moves, server-rendered from real usage on Stackness, with a page per category at https://stackness.dev/trending/{slug} using the category slugs above
- [Data sources](https://stackness.dev/about/data-sources): Every external dataset behind the imported popularity history, with its license and required attribution
- [Sitemap](https://stackness.dev/sitemap.xml): The complete, always-current list of tool, move, profile and post URLs
Tool pages and trend charts draw on two kinds of data. Platform usage is recorded on Stackness itself, from the stacks and moves people keep here. Imported series are historical popularity data from 14 external public sources, such as package registries, developer surveys, Q&A sites and Wikipedia pageviews, and they are always shown apart from platform usage, never blended into it. Every imported chart names its source, and the license terms for each source are on the [data sources page](https://stackness.dev/about/data-sources).
## Optional
- [Full API reference (Markdown)](https://stackness.dev/llms-full.txt): The complete REST API reference plus the MCP setup guide as a single markdown document
