kicad-mcp-pro
oaslananka/kicad-mcp-pro/docs/llms.txt
schematic automation, PCB automation, ERC, DRC, DFM, BOM, manufacturing export, live preview, visual evidence, MCP server, Python, PyPI
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.
oaslananka/kicad-mcp-pro/docs/llms.txt
schematic automation, PCB automation, ERC, DRC, DFM, BOM, manufacturing export, live preview, visual evidence, MCP server, Python, PyPI
Goldziher/ai-rulez/docs/llms-full.txt
with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API. ## Home Source: https://goldziher.github.io/ai-rulez/ AI-Rulez is a standards-compliant
Goldziher/ai-rulez/docs/llms.txt
with verified model evidence, evaluate skills, lock and sign dependencies, and publish bundles. CLI, MCP server and Go API. ## Docs - [Home](https://goldziher.github.io/ai-rulez/): AI-Rulez is a standards-compliant
alexei-led/spotinfo/llms.txt
spotinfo > CLI tool and MCP server that lists and ranks Spot machines on AWS, GCP and Azure from > committed price snapshots. `spotinfo` answers one question: which Spot machine meets
magnus919/agent-skills/llms.txt
self-hosted and agentic systems. Use to admit, update or retire Agent Skills, MCP servers and A2A capabilities; approve an agent for production actions; or decide earned-autonomy promotion, reduction
antropos17/Aegis/llms.txt
optional technical details; English and Brazilian Portuguese - Explicit validating MCP gateways for selected stdio, loopback HTTP and pinned HTTPS servers, with accepted catalogs, finite schema validation and exact grants - Optional
GuyMannDude/mnemo-cortex/llms.txt
github.com/GuyMannDude/mnemo-cortex/tree/master/integrations/ollama-desktop): Terminal launcher with OpenClaw as MCP host. ## Agent Manifests - [INSTALL.md](https://github.com/GuyMannDude/mnemo-cortex/blob/master/INSTALL.md): The install guide, in plain English — server setup plus per-host wiring for Claude Desktop
28naem-del/mnemosyne/llms.txt
linked, bisect, the poisoning suite and consolidation. `mnemosy demo --classic` runs the 2.0.0 demo. - MCP server for Claude Code (`.mcp.json`), Cursor (`.cursor/mcp.json`) or any MCP client: command `npx`, args
28naem-del/mnemosyne/site/llms.txt
linked, bisect, the poisoning suite and consolidation. `mnemosy demo --classic` runs the 2.0.0 demo. - MCP server for Claude Code (`.mcp.json`), Cursor (`.cursor/mcp.json`) or any MCP client: command `npx`, args
chattermate/chattermate.chat/llms.txt
reference](https://docs.chattermate.chat/features/cli): the account CLI — signup, login, tokens, agents, workflows, knowledge. - [MCP Server](https://docs.chattermate.chat/features/mcp-server): let an AI agent configure ChatterMate over the Model Context Protocol (`chattermate
ZIZKA-AI-SL/ZizkaDB/llms.txt
truth for what an agent actually did, independent of the LLM. AGPL-3.0 (the MCP server is MIT). Runs on Postgres with Docker. Key facts: - Install: `pip install zizkadb
playcanvas/developer-site/llms/llms.txt
scenes, managing assets and publishing apps, with the Editor API, the REST API, the MCP server and the VS Code extension. - [React](/user-manual/react/llms.txt): `@playcanvas/react`, which builds scenes declaratively from React
nexscope-ai/ecommerce-ai-tools/docs/llms.txt
Amazon research API by task, evidence, coverage, access, and cost - https://learn.nexscope.ai/ecommerce-ai-tools/what-is-an-mcp-server/ — MCP concepts, clients, servers, tools, resources, and permissions - https://learn.nexscope.ai/ecommerce-ai-tools/api-capabilities/ — ecommerce API capabilities and evidence boundaries
ayush-that/sub-agents.directory/public/llms.txt
Agents Directory > A community-driven directory of Claude Code sub-agents, rules, prompts, and MCP servers. Sub-Agents Directory is the go-to resource for developers using Claude Code
hermes-labs-ai/lintlang/llms-full.txt
keeping the copy with a schema. - H1.4/H1.5/H1.6 compare tools within one container, so two MCP servers may each expose a `search`. A document that is itself one STRONG tool object
rubenmarcus/aeo.js/llms.txt
scaffold config + generate npx aeo.js check example.com # audit any live site npx aeo.js mcp # MCP server (stdio) ``` ## Conventions - No SDK dependencies in core; MCP server is plain JSON-RPC. - Remote
nirholas/pump-fun-sdk/llms-full.txt
sharing, token incentives, and social fee integrations. Also includes vanity address generators (Rust + TypeScript), MCP server (55 tools), WebSocket relay, live dashboards, 4 Telegram bots, bot fleet orchestrator, AI trading
nirholas/pump-fun-sdk/llms.txt
performance Rust vanity address generator (solana-sdk + rayon) - typescript/ - TypeScript vanity address generator (@solana/web3.js) - mcp-server/ - Model Context Protocol server for AI agents (55 tools, 4 resources, 5 prompts) - telegram
hidai25/eval-view/llms-full.txt
Responses API) | Yes | Yes | | Anthropic Claude | Yes | Yes | | HuggingFace | Yes | Yes | | Ollama | Yes | Yes | | MCP servers | Yes | Yes | | Any HTTP API | Yes | Yes | | Claude Code (skills) | Yes | Yes | | OpenAI Codex
hidai25/eval-view/llms.txt
affiliated with them. ## Supported Frameworks LangGraph, CrewAI, OpenAI (Responses API), Anthropic Claude, HuggingFace, Ollama, MCP servers, and any HTTP API. ## Documentation - Getting Started: https://github.com/hidai25/eval-view/blob/main/docs/GETTING_STARTED.md - CLI Reference: https://github.com
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.