How real projects summarise themselves for language models.
patrickchughllms.txtpatrickchugh/terravision/docs/llms-full.txt
azurerm_*`, `google_*` and `tv_*` type - [Usage guide](https://patrickchugh.github.io/terravision/usage-guide/): CLI commands and flags - [MCP server](https://patrickchugh.github.io/terravision/mcp-server/): tools, client config, trust boundary - [Annotations](https://patrickchugh.github.io/terravision/annotations/): add labels
patrickchughllms.txtpatrickchugh/terravision/docs/llms.txt
azurerm_*`, `google_*` and `tv_*` type - [Usage guide](https://patrickchugh.github.io/terravision/usage-guide/): CLI commands and flags - [MCP server](https://patrickchugh.github.io/terravision/mcp-server/): tools, client config, trust boundary - [Annotations](https://patrickchugh.github.io/terravision/annotations/): add labels
fynnflueggellms.txtfynnfluegge/agtx/llms-full.txt
terminal user interface) built in Rust. It manages: - A **tmux server** (`agtx-server`) where each agent session runs in its own window. - **Git worktrees** created per task for branch isolation
mbaileyllms.txtmbailey/voicemode/llms.txt
coding agents and automation) - [Extend Copilot Chat with MCP](https://docs.github.com/en/copilot/how-tos/provide-context/use-mcp/extend-copilot-chat-with-mcp): Connect MCP servers to Copilot Chat to share context from other applications. - [Use the GitHub MCP Server
sceneviewllms.txtsceneview/sceneview/llms.txt
/docs/ai-context/): how to hand this file to any assistant, and how to install the MCP server - [AI-assisted development](https://sceneview.github.io/docs/ai-development/): the prompts and workflows that produce code which
Ataraxy-Labsllms.txtAtaraxy-Labs/weave/docs/llms.txt
Cosmetic vs structural change detection - Post-merge semantic + parse validation - LRU entity cache in MCP server (500 entries) - Configurable: WEAVE_TIMEOUT, WEAVE_MAX_DUPLICATES, WEAVE_REPO ## Architecture Cargo workspace with
sipyourdrink-ltdllms.txtsipyourdrink-ltd/bernstein/docs/llms-full.txt
Grafana dashboards. Per-model cost tracking (`bernstein cost`). Terminal TUI and web dashboard. - **Ecosystem**. MCP server mode, A2A protocol support, GitHub App integration, pluggy-based plugin system, multi-repo workspaces
sipyourdrink-ltdllms.txtsipyourdrink-ltd/bernstein/docs/llms.txt
Install, configure, run first orchestration in 60 seconds - [Architecture & Concepts](https://docs.bernstein.run/architecture/ARCHITECTURE/): Task server, agent spawner, janitor verification, worktree isolation - [Adapter Reference](https://docs.bernstein.run/adapters/): 40+ supported agents - Claude
ksimbackllms.txtksimback/hermes-ecosystem/llms-full.txt
embodiment in virtual environments | 8 | Experimental | | [gizdusum/hermes-blockchain-oracle](https://github.com/gizdusum/hermes-blockchain-oracle) | Solana on-chain analytics MCP server for Hermes | — | Experimental | | [Ridwannurudeen/hermes-council](https://github.com/Ridwannurudeen/hermes-council) | Adversarial multi-perspective MCP server for decision
LING71671llms.txtLING71671/open-reverselab/docs/llms-full.txt
标志 page.evaluate("() => { delete window.chrome.runtime }") # 伪造 plugins 和 mimeTypes # playwright_stealth 已内置这些处理 ``` ## MCP 工具映射 | 攻击步骤 | MCP 工具 | 说明 | |---------|---------|------| | HTTP 探测验证码端点 | `http_probe` | 探测 /captcha /verify 接口 | | 按信号查知识库 | `kb_router` | 搜索 captcha
LING71671llms.txtLING71671/open-reverselab/docs/llms.txt
cheating, and more. ## Quick Links - Landing Page: https://ling71671.github.io/open-reverselab/ - Knowledge Base: https://ling71671.github.io/open-reverselab/kb/ - MCP Tools: https://ling71671.github.io/open-reverselab/mcp-tools/ - FAQ: https://ling71671.github.io/open-reverselab/faq.html - GitHub: https://github.com/LING71671/open-reverselab - Full LLM dump
fastcrwllms.txtfastcrw/crw/docs/llms-full.txt
response: "http"|"lightpanda"|"chrome"|"chrome_proxy"|"playwright"|"pdf"|"http_only_fallback" ================================================================================ ## PART 7 — MCP SERVER (9 TOOLS) ================================================================================ Package: crw-mcp (npm: npx crw-mcp | cargo: cargo install crw-mcp) MCP
fastcrwllms.txtfastcrw/crw/docs/llms.txt
Machine-readable API contract: https://docs.fastcrw.com/openapi.json - Agent skill manifest: https://docs.fastcrw.com/agent-onboarding/SKILL.md - MCP server (Claude Code, Cursor, Windsurf): `npx crw-mcp` — https://www.npmjs.com/package/crw-mcp - Typed Python SDK: `pip install
vshulczllms.txtvshulcz/deja-vu/docs/llms.txt
install yet ## Evidence - [Building deja into your own tool](https://github.com/vshulcz/deja-vu/blob/main/docs/INTEGRATING.md): the MCP server, the JSON surfaces, the hook commands, what is a contract and what
hoangsonwwllms.txthoangsonww/Claude-Code-Agent-Monitor/llms.txt
Express + SQLite server, the React UI updates over WebSocket, and an optional local MCP server exposes safe dashboard tools. This repository is MIT-licensed; default stack is Node.js 18+, React
RyanAlbertsllms.txtRyanAlberts/best-of-Agent-Harnesses/llms.txt
this list directly? Three machine-readable surfaces: harnesses.json (structured), llms.txt (one file), and an MCP server (uvx agent-harnesses-mcp) exposing recommend, compare, pick_harness, and search_harnesses. ## Progressive disclosure
asheshgoplanillms.txtasheshgoplani/agent-deck/llms-full.txt
Fork your forks to explore as many branches as you need ### MCP Manager Attach MCP servers without touching config files. Need web search? Browser automation? Toggle them on per project
asheshgoplanillms.txtasheshgoplani/agent-deck/llms.txt
forking**: Fork Claude Code conversations to explore different approaches in parallel - **MCP Manager**: Toggle MCP servers per session without editing config files - **MCP Socket Pool**: Share MCP processes across sessions
agentic-communityllms.txtagentic-community/mcp-gateway-registry/docs/llms.txt
Summary This project provides an enterprise-ready gateway and registry for Model Context Protocol (MCP) servers, enabling centralized management, secure access, and dynamic tool discovery for AI agents and development
Auriti-Labsllms.txtAuriti-Labs/geo-optimizer-skill/site/llms.txt
geoready.dev/docs/schema-injector/): Generate and inject JSON-LD structured data (WebSite, FAQPage, Article, Organization) ## Integrations - [MCP Server](https://geoready.dev/docs/mcp-server/): Use from Claude Code, Cursor, Windsurf — 10 tools and 5 resources
A markdown file at a website's root that gives language models a short guide to the site and links to the pages worth reading.
The same idea with the content included, so an agent can read the documentation in one request.
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.
