open-agreementsllms.txtopen-agreements
open-agreements/open-agreements/llms-full.txt
# OpenAgreements > Open, primary-source-backed U.S. legal content — practice guides, 50-state surveys, reviewer
llms.txt examples
How real projects summarise themselves for language models.
Best matches · from page 15Worked for most · soon
open-agreementsllms.txtopen-agreementsllms.txtopen-agreements
open-agreements/open-agreements/llms.txt
primary categories. ## Optional - [Using OpenAgreements with AI agents & MCP](https://github.com/open-agreements/open-agreements/blob/main/docs/supported-tools.md): local + hosted MCP servers, agent skills, and the CLI for programmatic template filling - [openagreements.org](https://openagreements.org): machine-readable
clawboollms.txtclawboo
clawboo/clawboo/docs/llms.txt
inventory and enable or disable the rows your runtimes let you manage. - [Connect an MCP server](using/connectors.md): Run a verified MCP connector from Clawboo itself, sign in to a remote
johnxiellms.txtawesome-code-docs
johnxie/awesome-code-docs/llms-full.txt
skill, discovery, reuse, workflows, composiohq, discover, evaluate, install, contribute, coding, automation, writing, cross ## Awesome MCP Servers Tutorial: Curating and Operating High-Signal MCP Integrations - Path: tutorials/awesome-mcp-servers-tutorial - Index: https://github.com/johnxie/awesome-code-docs/blob/main/tutorials/awesome-mcp-servers-tutorial/README.md
johnxiellms.txtawesome-code-docs
johnxie/awesome-code-docs/llms.txt
Tutorial: High-Signal Skill Discovery and Reuse for Claude Workflows: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/awesome-claude-skills-tutorial - Awesome MCP Servers Tutorial: Curating and Operating High-Signal MCP Integrations: https://github.com/johnxie/awesome-code-docs/tree/main/tutorials/awesome-mcp-servers-tutorial - awslabs/mcp Tutorial: Operating
ThreatRecallllms.txtzettelforge
ThreatRecall/zettelforge/docs/llms.txt
Agent](how-to/integrate-llm-agent.md): Agent integration via `get_context()`, `ZettelForgeRetriever` (LangChain), or the MCP server ## Tutorials - [Quickstart](tutorials/01-quickstart.md): First memory stored in under 5 minutes - [Ingest a CTI Report](tutorials/02-first-cti-report.md
oldskultxollms.txtaictx
oldskultxo/aictx/docs/llms-full.txt
teams, with secret redaction on portable artifacts. - MCP: includes a local Model Context Protocol (MCP) server that exposes repo-local continuity as MCP tools, resources, and prompts. - Plugins: ships plugin
dcc-mcpllms.txtdcc-mcp-maya
dcc-mcp/dcc-mcp-maya/llms-full.txt
MayaMcpServer — Complete API ### Constructor ```python MayaMcpServer( port: Optional[int] = None, server_name: str = "maya-mcp", server_version: str = "0.9.31", # x-release-please-version gateway_port: Optional[int] = None, registry
dcc-mcpllms.txtdcc-mcp-maya
dcc-mcp/dcc-mcp-maya/llms.txt
server() -> None ``` ### MayaMcpServer Constructor ```python MayaMcpServer( port: Optional[int] = None, server_name: str = "maya-mcp", server_version: str = "0.9.31", # x-release-please-version gateway_port: Optional[int] = None, registry
dearlordylordllms.txthuly-mcp / site
dearlordylord/huly-mcp/site/llms.txt
package: https://www.npmjs.com/package/@firfi/huly-cli - Huly CLI documentation: https://github.com/dearlordylord/huly-mcp/tree/master/packages/huly-cli ## Positioning - The maintained Huly MCP server for agent workflows. - Full Huly parity through MCP tools. - LLM-friendly, context-rich programmatic
Supervertalerllms.txtSupervertaler-Workbench
Supervertaler/Supervertaler-Workbench/docs/llms.txt
search, and a translation knowledge base to Trados Studio 2024 and 2026 – > plus an MCP server that connects AI assistants to the live Studio session. This is the product site
OptimNowllms.txtcloud-finops-skills
OptimNow/cloud-finops-skills/llms-full.txt
decision point is only half useful. MCP-based connectivity (e.g., OptimNow's finops-tagging MCP server) provides standardized interfaces for cost data, tagging, and governance without custom integration code
OptimNowllms.txtcloud-finops-skills
OptimNow/cloud-finops-skills/llms.txt
Model-agnostic: works with Claude, GPT, Gemini, or any LLM. Also published as an MCP server (`cloud-finops-mcp`) for faceted retrieval. A structured knowledge skill that gives AI agents
monteslullms.txtvibe-eyes
monteslu/vibe-eyes/llms.txt
vibe-eyes > MCP server that lets LLMs "see" browser games by converting canvas content to vectorized SVG and collecting debug info (console logs, errors, exceptions). ## Architecture ``` Browser (canvas game) → vibe
sfrangulovllms.txtclaude-code-handbook-ru
sfrangulov/claude-code-handbook-ru/llms-full.txt
# Claude Code Handbook на русском — full text > Все материалы handbook одним файлом для подгрузки
karthikrshetllms.txtCareer-Agents
karthikrshet/Career-Agents/llms.txt
# Career-Agents LLM Discovery Catalog This file contains the map of available agents, operational
Rtur2003llms.txtClaude-Code-Promts-Skills
Rtur2003/Claude-Code-Promts-Skills/llms.txt
lifecycle automation: ./prompts/english/agents/hooks-automation-prompt.md - Build an agent programmatically (Agent SDK): ./prompts/english/workflows/agent-sdk-guide.md - Evaluate skills, plugins, MCP servers, and agent toolkits: ./prompts/english/workflows/ecosystem-discovery-guide.md ## Building software (project-type prompts) - Web frontend: ./prompts/english/project-types/web-development-prompt.md - API: ./prompts/english/project-types/api-development-prompt.md - Full
Kanevryllms.txtsession-orchestrator / site
Kanevry/session-orchestrator/site/llms-full.txt
untested. The Node core uses portable paths, but shell hooks and the optional MCP server need WSL or Git Bash. macOS and Linux are covered by CI. ## The loop Bootstrap
Kanevryllms.txtsession-orchestrator / site
Kanevry/session-orchestrator/site/llms.txt
covered by CI. Native Windows use is untested; shell hooks and the optional MCP server need WSL or Git Bash. Optional telemetry is off until consent. By default, session-start
MrPunyapalllms.txtlaravel-auditor
MrPunyapal/laravel-auditor/docs/llms-full.txt
collectors** | 11 read-only tools that provide deterministic Laravel facts (routes, models, schema, etc.) | | **MCP server** | A bridge that lets a supported AI agent call the context tools directly | | **Finding
About llms.txt
What is llms.txt?
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.
What's llms-full.txt?
The same idea with the content included, so an agent can read the documentation in one request.
Who reads it?
Agents and tools that fetch documentation on someone's behalf. It's a proposal, not a standard, and support varies.
How do I write one?
Start with a one-line summary, then sections of links with a sentence each. The examples here show what real projects do.