How real projects summarise themselves for language models.
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
tsubotaxllms.txttsubotax/melta-ui/llms-full.txt
ツール用の集約データ | | MCP `melta://design-constitution` レスポンス | `DESIGN.md` | MCP だけで接続する AI の最初の入口（runtime 直読、内容の複製なし） | | MCP `melta://rules` レスポンス | `design/contracts/rules.json` | AI エージェントからのルール参照 | | `docs/` の component count・nav | contracts + tokens | 公開サイト表示 | | `llms.txt
YosefHayimReads credentialsllms.txtYosefHayim/ebay-mcp/llms.txt
ebay-mcp > A local Model Context Protocol (MCP) server that gives AI assistants 379 tools for the eBay Sell, Commerce and Developer APIs. It runs on your machine with your
pc-stylellms.txtpc-style/x-md/public/llms.txt
contract: `Accept: application/json` on any read route, described by https://mdfromx.com/openapi.json, or the MCP server at https://mdfromx.com/mcp. How to call it: one plain
wesmllms.txtwesm/middleman/docs/llms.txt
fleet, how ownership works, and how to set it up - [MCP companion](https://forge.kenn.io/docs/kenn-forge-mcp.md): Model Context Protocol server for agent access to the console - [GitHub CLI shim](https://forge.kenn.io
mahdin75llms.txtmahdin75/gis-mcp/docs/llms-full.txt
MCP Server > GIS MCP is an open-source Model Context Protocol server for GIS/geospatial analysis and AI agents. GIS MCP (GIS MCP Server) lets AI agents run real GIS workflows
mahdin75llms.txtmahdin75/gis-mcp/docs/llms.txt
MCP Server > GIS MCP is an open-source Model Context Protocol server for GIS/geospatial analysis and AI agents. Install with `pip install gis-mcp`. Default transport is STDIO (`gis-mcp
tmseidelllms.txttmseidel/ai-git-bot/llms-full.txt
back to the Git platform. It centralizes configuration, credentials, prompts, bot personas, sessions, optional MCP server tool access, per-bot tool whitelists, workflow audit trails, and outgoing webhook subscriptions
tmseidelllms.txttmseidel/ai-git-bot/llms.txt
Anthropic Claude, OpenAI, Google AI / Gemini, Ollama, and llama.cpp. - Optional Model Context Protocol (MCP) server integration with persisted tool whitelists. - Optional per-bot user whitelist to restrict who may trigger
missingus3rllms.txtmissingus3r/friday-showcase/llms.txt
Memory** — Flask + SQLite + embedding-based hybrid RAG (FTS5 + vector cosine, RRF) - **Knowledge** — Notion (via MCP plugin) - **Code graph** — graphify (knowledge graph of codebases and docs, Claude Code skill) - **Voice** — ElevenLabs
thebanrillms.txtthebanri/limoni/llms.txt
style tests against it by role and label, and `limoni-mcp` serves it to MCP clients such as Claude Code and Cursor, so an agent can operate a running
Microckllms.txtMicrock/kagi-cli/docs/llms.txt
Embedded, version-matched guidance for agents and automation. - [mcp](https://kagi.micr.dev/commands/mcp): Run kagi-cli as a stdio Model Context Protocol server. - [completion](https://kagi.micr.dev/commands/completion): Complete reference for *kagi
paolobietolinillms.txtpaolobietolini/gtm-mcp-server/llms.txt
MCP Server > AI-accessible API for Google Tag Manager. Create tags, audit containers, generate tracking plans, and publish changes — all through natural language. - URL: https://mcp.gtmeditor.com - Protocol: Model Context Protocol
willynikes2Reads credentialsllms.txtwillynikes2/knowledge-base-server/llms.txt
server > Portable AI knowledge base with SQLite FTS5, semantic search, Obsidian vault sync, and MCP server interface for multi-agent retrieval and self-learning. A personal knowledge base server that
WatermelonCorpllms.txtWatermelonCorp/watermelon-platform/public/llms.txt
Prefer `search`, `get_inspiration`, `get_component`, `compose_page`, and `list_categories`. - Connect the hosted MCP server with `claude mcp add --transport http watermelon https://mcp.watermelon.sh/mcp` or `codex mcp
alexei-ledllms.txtalexei-led/cloud-mcp-server/llms.txt
MCP Server > MCP server that provides AI assistants with access to AWS CLI, enabling natural language interaction with AWS services through the Model Context Protocol. AWS MCP Server implements
ihuzaifashoukatllms.txtihuzaifashoukat/x-use/llms.txt
open-source Python MCP server and CLI for X (Twitter). It uses the operator's authenticated browser session for profile and post research, inbox reads, and reviewed publishing and outreach
gtm-skillsllms.txtgtm-skills/gtm/public/llms.txt
open-source ecosystem for agentic > Go-To-Market (GTM). Prompts, agent workflows, browser extension, > MCP server, voice templates, and API for B2B sales teams. Open-source core (MIT) > plus premium
kestra-iollms.txtkestra-io/docs/public/llms.txt
versioned URL to retrieve it as plain Markdown. ## Tools & Capability Discovery - [MCP Server Config](https://kestra.io/.well-known/mcp.json): Use this to connect an agent to Kestra's orchestration tools. ## Core model
softsparkReads credentialsllms.txtsoftspark/ai-toolkit/llms-full.txt
Rules System](kb/reference/language-rules.md) - [Licensing](kb/reference/licensing.md) - [Manifest-Driven Install System](kb/reference/manifest-install.md) - [MCP Editor Compatibility](kb/reference/mcp-editor-compatibility.md) - [MCP Server Templates](kb/reference/mcp-templates.md) - [Medplum Documentation Map](kb/reference/medplum-docs-map.md) - [Merge-Friendly Install Model](kb/reference/merge-friendly-install-model.md) - [Model compatibility
softsparkllms.txtsoftspark/ai-toolkit/llms.txt
Rules System](kb/reference/language-rules.md) - [Licensing](kb/reference/licensing.md) - [Manifest-Driven Install System](kb/reference/manifest-install.md) - [MCP Editor Compatibility](kb/reference/mcp-editor-compatibility.md) - [MCP Server Templates](kb/reference/mcp-templates.md) - [Medplum Documentation Map](kb/reference/medplum-docs-map.md) - [Merge-Friendly Install Model](kb/reference/merge-friendly-install-model.md) - [Model compatibility
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.
