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Open, versioned documentation and semantic search for AI coding tools

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- - config.yml
  - report-registry-issue.yml
  - request-docs.yml
- - bulk-ingest.yml
  - deploy.yml
  - ingest-request.yml
  - verify-pr.yml
- CODEOWNERS
- pull_request_template.md
- - README.md
  - SKILL.md
- .gitkeep
.gitignore
CODE_OF_CONDUCT.md
CONTRIBUTING.md
LICENSE
README.md
SCHEMA.md
SECURITY.md

# CDN으로 사용하기

jsDelivr

jsDelivr는 공개 GitHub 리포지토리를 별도 설정 없이 CDN으로 즉시 서빙합니다. 버전과 파일을 고르면 웹페이지에 바로 붙일 수 있는 링크와 예시 코드가 만들어집니다.

버전

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// repository documentation

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**Versioned, model-ready documentation and semantic search for AI tools.**

Give your AI accurate, version-correct docs instead of stale training data.
Free, deterministic, and open - built on the [`llms.txt`](https://llmstxt.org) standard.

[**Docs**](https://llmref.org) · [**API**](https://api.llmref.org/v1/projects) · [**MCP registry**](https://registry.modelcontextprotocol.io/?q=llmref) · [**npm**](https://www.npmjs.com/package/@llmref/cli)

</div>

---

## Connect it to your AI tool

The quickest way to use LLM Reference is its **MCP server** - a remote endpoint that
gives assistants four tools: `list_projects`, `list_versions`, `resolve_docs`, and
`search_docs`.

```
https://api.llmref.org/v1/mcp
```

| Client | Setup |
| --- | --- |
| **Claude Code** | `claude mcp add --transport http llmref https://api.llmref.org/v1/mcp` |
| **Cursor** | [![Add to Cursor](https://cursor.com/deeplink/mcp-install-dark.svg)](cursor://anysphere.cursor-deeplink/mcp/install) or add to `.cursor/mcp.json` |
| **Codex** | `~/.codex/config.toml`: `[mcp_servers.llmref]` then `url = "https://api.llmref.org/v1/mcp"` |
| **Claude Desktop / Windsurf / VS Code** | see the [MCP guide](https://llmref.org/guides/mcp/) |

For any JSON-configured client:

```json
{ "mcpServers": { "llmref": { "type": "http", "url": "https://api.llmref.org/v1/mcp" } } }
```

Full per-client setup lives at **[llmref.org/guides/mcp](https://llmref.org/guides/mcp/)**.

## Or use the API, SDK, or CLI

One free public API at `api.llmref.org` - no account required.

```sh
# List indexed projects
curl https://api.llmref.org/v1/projects

# Fetch a library's docs, version-pinned and model-ready
curl https://api.llmref.org/v1/projects/drizzle/0.45.2/llms.txt

# Semantic search
curl -X POST https://api.llmref.org/v1/search/semantic \
  -H 'content-type: application/json' \
  -d '{"project":"drizzle","version":"0.45.2","query":"define a table schema"}'
```

Typed clients:

```sh
bun add @llmref/sdk       # TypeScript SDK
bun add -g @llmref/cli    # the `llmref` command-line tool
```

Every route, method, and type is documented at **[llmref.org](https://llmref.org)**.

## What's indexed

Browse everything at [`/v1/projects`](https://api.llmref.org/v1/projects) or in
[`registry/index.json`](./registry/index.json).

**Missing a library?** [**Request it**](https://github.com/reclear-io/llmref/issues/new?template=request-docs.yml) -
you don't prepare anything; approved requests are ingested automatically into a
versioned, searchable snapshot.

## Request or fix documentation

Open an issue and the pipeline does the work - no setup on your end.

- 📥 [**Request docs**](https://github.com/reclear-io/llmref/issues/new?template=request-docs.yml) - add a new project or version.
- 🐛 [**Report a problem**](https://github.com/reclear-io/llmref/issues/new?template=report-registry-issue.yml) - flag incorrect or stale content.

Approved requests become a versioned snapshot pull request that a maintainer reviews
and merges before it goes live. Details: [Contribute guide](https://llmref.org/contribute/).

## The registry (raw files)

Every artifact is also a plain, diffable file you can read straight from GitHub - no
API required:

```
registry/<technology-id>/<version>/
  llms.txt        # compact routing/summary file for models
  llms-full.txt   # full merged documentation (only when the license permits it)
  meta.json       # snapshot metadata + content fingerprint + license
registry/index.json
```

`llms-full.txt` is published only when the upstream license permits redistributing
full text; reserved-license snapshots ship `llms.txt` + `meta.json` and stay
searchable via snippets. See [SCHEMA.md](./SCHEMA.md#license).

```
https://raw.githubusercontent.com/reclear-io/llmref/main/registry/drizzle/0.45.2/llms.txt
```

Large dump artifacts (chunks, embeddings) live off-repo; see a snapshot's `dumps`
endpoint. Format: [SCHEMA.md](./SCHEMA.md) · PR flow: [CONTRIBUTING.md](./CONTRIBUTING.md).

## Backend engine

The engine that produces this registry - the crawler, normalization, embedding,
and API server - will be open-sourced at some point. We're deliberately not
rushing that: we want the internals stable first, and we'd rather not expose a
moving target to vulnerabilities while we're still iterating in sprints. The
hosted API (`api.llmref.org`) and this registry are free and public today
regardless.

## Links

- **Documentation** - https://llmref.org
- **MCP registry** - [`org.llmref/llmref`](https://registry.modelcontextprotocol.io/?q=llmref)
- **npm** - [`@llmref/sdk`](https://www.npmjs.com/package/@llmref/sdk) · [`@llmref/cli`](https://www.npmjs.com/package/@llmref/cli)
- [Code of Conduct](./CODE_OF_CONDUCT.md) · [Security policy](./SECURITY.md)

## License

[MIT](./LICENSE) · Open Source by [Reclear.io](https://reclear.io)

llmref

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# CDN으로 사용하기

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