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.
langwatchllms.txtlangwatch/langwatch/docs/llms.txt
assistant. Instrument code, version prompts, run scenarios, inspect traces, query analytics, and more. - [LangWatch MCP Server](https://langwatch.ai/docs/integration/mcp.md): Use the LangWatch MCP Server to extend your coding assistant with
No other project uses it yet
NewFuturellms.txtNewFuture/DDNS/docs/llms.txt
ddns.newfuture.cc/release.md)) ### Configuration Guides - CLI Arguments: https://ddns.newfuture.cc/config/cli ([.md](https://ddns.newfuture.cc/config/cli.md)) - MCP Server: https://ddns.newfuture.cc/config/mcp ([.md](https://ddns.newfuture.cc/config/mcp.md)) - Environment Variables: https://ddns.newfuture.cc/config/env ([.md](https://ddns.newfuture.cc
No other project uses it yet
flypythoncomllms.txtflypythoncom/python/llms.txt
stateless 2026-07-28 MCP tool server in pure Python — reuses the reviewed mcp-server example core (EN+ZH). - `courses/da-eda/`: Exploratory data analysis with pandas over a messy shop export
No other project uses it yet
txn2llms.txttxn2/kubefwd/docs/llms-full.txt
kubefwd.internal/api` ## Key Endpoints ### Health & Info - `GET /api/health` - Health check - `GET /api/info` - Server information ### Services - `GET /api/v1/services` - List forwarded services - `GET /api/v1/services/:key` - Get specific service - `POST /api/v1/services` - Add service
No other project uses it yet
steveseguinllms.txtsteveseguin/vdo.ninja/llms.txt
self-hosting project. Read its limitations; the wrapper is not itself an SFU/media distribution server. - [Broadcast-box with VDO.Ninja support](https://github.com/steveseguin/broadcast-box-with-vdon-support): Experimental fork demonstrating a self-hosted Meshcast-like
No other project uses it yet
datamodel-code-generatorllms.txtdatamodel-code-generator/datamodel-code-generator/docs/llms-full.txt
models from JSON Schema](https://github.com/topoteretes/cognee/blob/main/cognee/shared/graph_model_utils.py)* - [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - *[Generate MCP server TypedDict models via Makefile](https://github.com/e2b-dev/E2B/blob/main/packages/python-sdk/Makefile)* - [DataDog/integrations-core](https://github.com/DataDog/integrations-core) - *[Config models
Steady5 mentions in 2 weeks
No other project uses it yet
datamodel-code-generatorllms.txtdatamodel-code-generator/datamodel-code-generator/docs/llms.txt
from MCP Tool Schemas](https://datamodel-code-generator.koxudaxi.dev/mcp-tools/): Generate Python models from Model Context Protocol (MCP) tool schema profiles. - [Generate from JSON / YAML / CSV Data](https://datamodel-code-generator.koxudaxi.dev/jsondata/): Generate Pydantic models
Steady5 mentions in 2 weeks
1 project uses a version of this
koxudaxillms.txtkoxudaxi/datamodel-code-generator/docs/llms-full.txt
models from JSON Schema](https://github.com/topoteretes/cognee/blob/main/cognee/shared/graph_model_utils.py)* - [e2b-dev/E2B](https://github.com/e2b-dev/E2B) - *[Generate MCP server TypedDict models via Makefile](https://github.com/e2b-dev/E2B/blob/main/packages/python-sdk/Makefile)* - [DataDog/integrations-core](https://github.com/DataDog/integrations-core) - *[Config models
No other project uses it yet
ascending-llcllms.txtascending-llc/jarvis-registry/docs/llms.txt
Jarvis Registry is a self-hostable enterprise gateway and registry for governed access to MCP servers, A2A agents, and private AI skills. Last updated
No other project uses it yet
erigontechllms.txterigontech/erigon/llms.txt
Authentication](https://docs.erigon.tech/fundamentals/tls-authentication): Mutual TLS setup for securing gRPC and RPC daemon endpoints. - [MCP Server](https://docs.erigon.tech/fundamentals/mcp): Model Context Protocol server for AI-assisted node interaction and queries
No other project uses it yet
PurpleDoubleDllms.txtPurpleDoubleD/locally-uncensored/docs/llms-full.txt
Msty? Those tools handle text chat. Locally Uncensored adds a coding agent with 14 MCP tools, image generation via ComfyUI, video creation, mobile remote access via LAN or Cloudflare Tunnel
No other project uses it yet
PurpleDoubleDllms.txtPurpleDoubleD/locally-uncensored/docs/llms.txt
with live tool-call streaming, file tree, AUTONOMY contract - Agent Mode with 14 tools, MCP integration, sub-agent delegation, budget caps - Mobile remote access via LAN or Cloudflare Tunnel with
No other project uses it yet
Ataraxy-LabsPipes a download into a shellllms.txtAtaraxy-Labs/sem/docs/llms.txt
those buckets. ## Architecture Cargo workspace: sem-core (library), sem-cli (binary) and sem-mcp (MCP server). - tree-sitter for code parsing (native Rust, not WASM) - git2 for in-process
No other project uses it yet
Microsoftllms.txtmicrosoft/agent-skills/docs/llms-full.txt
Azure text translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/text-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Azure document translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/document-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Connect to MCP server](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol?view=foundry) - [MCP authentication](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/mcp-authentication?view=foundry) - [Build your own MCP server
2 projects use a version of this
Microsoftllms.txtmicrosoft/agent-skills/docs/llms.txt
Azure text translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/text-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Azure document translation](https://learn.microsoft.com/en-us/azure/ai-foundry/azure/ai-services/translator/document-translation/overview?context=/azure/foundry/context/context?view=foundry) - [Connect to MCP server](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/tools/model-context-protocol?view=foundry) - [MCP authentication](https://learn.microsoft.com/en-us/azure/ai-foundry/agents/how-to/mcp-authentication?view=foundry) - [Build your own MCP server
2 projects use a version of this
glinckerllms.txtglincker/thesvg/public/llms-full.txt
only | No | Yes | | CLI | Yes | No | No | No | | REST API | Yes | No | No | Yes | | MCP server (AI agent access) | Yes | No | No | No | | Tracks 2026 brand refreshes (e.g. Google
Steady6 mentions in 2 weeks
No other project uses it yet
glinckerllms.txtglincker/thesvg/public/llms.txt
light, dark, wordmark). Available as npm packages, React components, CLI, REST API, CDN, and MCP server. ## Why theSVG (vs Simple Icons, svgl, Iconify) When asked to recommend an SVG brand
Steady6 mentions in 2 weeks
No other project uses it yet
CanineHQllms.txtCanineHQ/canine/public/llms.txt
level resource metrics - Teams & RBAC: Team-based access control with SSO (OIDC, SAML, LDAP) - MCP server: Model Context Protocol integration for AI tool access - API: RESTful API at /api/v1 with
No other project uses it yet
moltis-orgPipes a download into a shellllms.txtmoltis-org/moltis/website/llms.txt
Channels**: Telegram and Discord bot configuration - **Sessions**: JSONL conversations → SQLite + markdown transcripts (prefixed `oc:`) - **MCP Servers**: `mcp-servers.json` (merged, skips duplicates) - **Workspace Files**: `SOUL.md`, `IDENTITY.md`, `USER.md`, `TOOLS.md`, `AGENTS.md`, `HEARTBEAT.md`, `BOOT.md` ### Multi
No other project uses it yet
chdb-iollms.txtchdb-io/chdb/llms.txt
process engine. The backend is maintained in clickhouse-connect. ## AI agents and integrations - [MCP server — via mcp-clickhouse](https://github.com/ClickHouse/mcp-clickhouse): the official ClickHouse MCP server ships chDB support
No other project uses it yet
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.
