How real projects summarise themselves for language models.
oxbshwllms.txtoxbshw/watch-skill/llms.txt
Install the workspace: ```bash npx --yes @deepwatch/cli setup npx --yes @deepwatch/cli web --workspace ./my-project ``` MCP server configuration: ```json { "mcpServers": { "watch-skill": { "command": "uvx", "args": ["--from", "watch-skill[standard]", "watch-skill
daymoniollms.txtdaymonio/daymon/docs/llms-full.txt
fails (ideal for monitoring) - **never**: Never nudge How it works: 1. Task completes in MCP server or sidecar 2. Checks task's nudge_mode via `shouldNudgeTask()` 3. Checks quiet hours
daymoniollms.txtdaymonio/daymon/docs/llms.txt
shell) - **Sidecar** standalone Node.js HTTP server (cron scheduler, file watchers, task execution, embeddings) - **MCP Server** (stdio transport) for Claude Desktop and Claude Code integration - **Shared modules** used by both sidecar
griddynamicsllms.txtgriddynamics/rosetta/llms-full.txt
upgrade = switch to latest. All releases uploaded to RAGFlow as separate datasets; MCP serves latest-stable only. Server-controlled VERSION (clients don't set it) → managed rollouts, no drift
raysonmengllms.txtraysonmeng/agent-bridge/site/llms.txt
real time inside one working session. It relays messages between an MCP channel and the Codex app-server protocol so the two agents can cross-review each other's diffs
claude-did-thisllms.txtclaude-did-this/MCPControl/docs/llms-full.txt
Each client may support different MCP features, allowing for varying levels of integration with MCP servers. ## Feature support matrix | Client | [Resources] | [Prompts] | [Tools] | [Sampling] | Roots | Notes | | ------------------------------------ | ----------- | --------- | ------- | ---------- | ----- | ------------------------------------------------------------------ | | [Claude Desktop App][Claude
SirAllapllms.txtSirAllap/agentglass/landing/llms.txt
what the person is signed in to — driven from a CLI and an MCP server. ## Docs - [README](https://raw.githubusercontent.com/SirAllap/agentglass/main/README.md): what it does, screen by screen, platforms, install, FAQ, roadmap
brycewang-stanfordllms.txtbrycewang-stanford/StatsPAI/llms.txt
install statspai` (`pip install "statspai[fixest,plotting]"` for high-dimensional fixed effects and figures). MCP server: `statspai-mcp`. CLI: `statspai`. ## Start here - [AGENTS.md](AGENTS.md): how an agent discovers, calls
bibinprathapllms.txtbibinprathap/VeritasGraph/llms-full.txt
/studio_api/store.py) - Graph engine integration: [studio_api/graphrag_engine.py](./studio_api/graphrag_engine.py) ### Studio Frontend - Single-page UI: [demos/agent-studio/index.html](./demos/agent-studio/index.html) ### MCP Server (Model Context Protocol) - Zero-trust, air-gapped GraphRAG server for local IDE agents (Claude
bibinprathapllms.txtbibinprathap/VeritasGraph/llms.txt
endpoints - GraphRAG pipeline components ## Canonical Paths - Repo root README: [README.md](./README.md) - Cookbook: [cookbook/](./cookbook/) - MCP server (zero-trust, air-gapped GraphRAG over JSON-RPC stdio): [veritasgraph_mcp/](./veritasgraph_mcp/) - Studio backend
rife2llms.txtrife2/bld/llms.txt
/rife2/bld/wiki/Custom-Commands): add a project command by writing a method and annotating it with @BuildCommand - [MCP server](https://github.com/rife2/bld/wiki/Standard-Commands#mcp): serve every build command as an MCP tool over stdio, register
nirholasllms.txtnirholas/cryptocurrency.cv/llms-full.txt
sources. No API key required. > REST JSON, RSS/Atom, WebSocket, AI analysis, historical archive, MCP server, ChatGPT plugin. > Open source (MIT). https://cryptocurrency.cv This document is the complete inline reference intended
nirholasllms.txtnirholas/cryptocurrency.cv/llms.txt
required. REST JSON, RSS/Atom feeds, WebSocket streaming, AI analysis, historical archive, MCP server, ChatGPT plugin. Source-available (all rights reserved); the hosted API is free to use. Free Crypto News
nirholasllms.txtnirholas/cryptocurrency.cv/public/llms-full.txt
sources. No API key required. > REST JSON, RSS/Atom, WebSocket, AI analysis, historical archive, MCP server, ChatGPT plugin. > Source-available, all rights reserved; the hosted API is free
nirholasllms.txtnirholas/cryptocurrency.cv/public/llms.txt
USDC micropayments via x402. REST JSON, RSS/Atom feeds, WebSocket/SSE streaming, AI analysis, historical archive, MCP server, ChatGPT plugin. > Source-available, all rights reserved; the hosted API is free
dengyierllms.txtdengyier/OpenWorkProof/llms.txt
immutable audit record for denied requests - CLI (`owp status / run-tests / repo-read`), MCP stdio transport server, AgentTeams TCP network client - Docker production executor with STARTED_UNCONFIRMED crash recovery - Supply
Higangsshllms.txtHigangssh/homebutler/llms.txt
network scan, Wake-on-LAN - Multi-server SSH management and remote deploy - Built-in MCP server for AI tools - JSON output for scripts and agents ## Primary workflow For monitoring
Scottcjnllms.txtScottcjn/rustchain-bounties/llms.txt
onramp — 4-step flow from pick → claim → ship → get paid. - [Scottcjn/bounty-concierge](https://github.com/Scottcjn/bounty-concierge): MCP server exposing the board to your agent loop. ## Claim a bounty 1. Browse [open bounty
billy-enrizkyllms.txtbilly-enrizky/openbrowser-ai/stress-tests/llms-full.txt
Ollama, and more - **Code Agent Mode** - Jupyter notebook-like code execution for complex automation - **MCP Server** - Model Context Protocol support for Claude Desktop integration - **Video Recording** - Record browser sessions
sachitrafallms.txtsachitrafa/YourMemory/llms.txt
entity extraction) - **Protocol:** MCP (Model Context Protocol) stdio server - **API:** FastAPI HTTP server on port 3033 ## MCP Tools - `recall_memory(query, user_id, current_path?)` — hybrid retrieval with graph expansion
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.
