Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Typed on-prem knowledge graph for AI agents — read-only for humans, write-only for agents via MCP.
이 세 가지는 절대 하나의 점수로 합치지 않아요. 의견, 측정, 인기는 서로 다른 것이니까요.
이 서버는 아직 쉬운 말로 된 요약을 쓰지 못했어요. 아래는 레지스트리에서 읽어 온 사실이에요.
쓰고 있는 AI 앱을 고른 다음 설정을 복사하세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
웹, 데스크톱, 모바일의 Claude에서 쓸 수 있어요:
https://{plexus_host}/mcp주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
터미널에서 이 명령어를 실행하세요
claude mcp add --transport http plexus 'https://{plexus_host}/mcp'주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"plexus": {
"url": "https://{plexus_host}/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"plexus": {
"type": "http",
"url": "https://{plexus_host}/mcp"
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요:
https://{plexus_host}/mcp주소에 나만 아는 {…} 부분(예: 내 계정)이 있어서, 복사한 뒤 직접 채워 주세요.
메뉴 이름은 요금제나 시기에 따라 조금 다를 수 있어요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
아직 이 서버의 도구 목록을 읽지 않았어요. 엔드포인트는 차례대로 돌아가며 점검해요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 6일 점검
레지스트리 이름이 GitHub 계정 pcas-io 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
주소에 내 계정 값이 필요해서 대신 점검할 수 없어요
주소에 내 계정 값이 필요해서 대신 점검할 수 없어요
아직 점검하지 않았어요. 엔드포인트를 점검할 때 도구 목록을 읽어요
레지스트리에서 이 카테고리의 활성 서버 전체와 비교했어요. 스타는 게시자가 저장소를 소유한 경우에만 세요.
해당하는 기본 점검 1개 중 1개를 통과했어요. 코드는 읽지 않았어요. 키나 토큰을 넣기 전에 서버가 어떤 권한을 요구하는지 확인하고, 꼭 필요한 권한만 있는 키를 쓰세요.
레지스트리에 필수 키가 나와 있지 않아요. 다만 처음 쓸 때 로그인을 요구하는 서버도 있어요.
제작자의 클라우드에서 실행돼요. 설치 없이 인터넷으로 연결하지만, 보내는 내용은 제작자의 서버를 거쳐요.
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.1.2)은 6개월 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. URL로 연결되기 때문에, 원격 MCP 서버를 지원하는 앱(예: 개발자 모드의 ChatGPT)에서도 쓸 수 있어요.
같은 카테고리에는: Context7, Codebase Memory, Exa
같은 카테고리에서 다른 제작자가 만든 서버예요. 스타 순으로 정렬했어요.
카드 보는 법:★ GitHub 스타i세 기둥: 리뷰 · 점검 · 사용 정도i업데이트 = 최신 버전을 레지스트리에 공개한 날i
Up-to-date docs for AI agents
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Connect AI agents to Exa for web search, content fetching, and multi-step research.
제작자의 저장소에서 쓰인 그대로 가져왔어요. PopNx MCP가 검토하거나 보증한 내용이 아니에요. HTML, 이미지, 스크립트는 제거했어요. 링크를 누르면 이 사이트를 벗어나요.
A typed, on-prem knowledge graph for AI agents. Read-only for humans, write-only for agents, spoken over the Model Context Protocol.
Part of the pcas.io product line.
Knowledge management has been a document sport for twenty years — folders, notes, wikis, editor wars. plexus inverts that.
In plexus, every piece of information is a typed entity — concept, decision, fact, project, task, document, skill, … — with hard, temporally-valid edges between them. No free-form text, no forgotten tags, no "I'll clean that up later." Writing and linking happen exclusively through MCP — from your agent. The dashboard shows you the graph; it has no edit buttons.
That gets you three things:
Runs in Docker Compose on your own hardware. Apache-2.0 licensed.
Traditional wikis are built for human readers: free-form prose, hand-curated links, a tree of pages that rots the moment you stop grooming it. Put an LLM in front of one and the first thing the LLM does is ask you to summarise it.
plexus reverses the audience. The LLM is the reader and the writer. Each page is a typed record instead of a paragraph, each link is a named relation instead of a hyperlink, and each edit is an atomic MCP call instead of a markdown diff. The UI shows you the same graph your agent sees — but your agent does the curation.
This is the same pattern Andrej Karpathy sketched in his "The LLM wiki" gist (April 2026, 5000+ stars): instead of stateless RAG against raw documents on every query, an LLM *compiles* knowledge into a structured, cross-referenced wiki once and keeps it up to date. plexus is that pattern on infrastructure:
| Karpathy's LLM wiki | plexus |
|---|---|
| Raw sources (unchanging) | External documents the agent reads with web_fetch, file I/O, … |
| Wiki (typed markdown, curated) | Typed entities + named edges in a graph the agent writes via MCP |
Schema (conventions in CLAUDE.md / AGENTS.md) | list_kinds + list_relations registries, enforced at the MCP boundary |
| ingest → compile → reflect → query → lint | search_entities → save_entity / update_entity → link_entities → get_related → lint_graph |
Karpathy calls the gist an "idea file" — a vendor-neutral prompt pattern. plexus gives it a production backend: typed storage, optimistic locking, temporal edges, multi-user auth, audit log.
What that buys you:
project containers, audit log.Understand it
Run it
Wire an agent to it
Reference
Operate it
Persistent agent memory. Every conversation starts with context_load, so your assistant remembers which ADRs you've already made, which projects are live, and which tasks you finished yesterday. No "as you might recall…" prompt engineering.
Cross-agent handoff. Claude Code finishes a feature, writes a handoff-fact. Next morning Claude web picks up the same context, knows which commits shipped, what's still open. Zero re-briefing.
Team memory for small groups. Spin up one instance, issue scoped personal tokens per person, share a project container. Read-only dashboard for everybody, agents write for everybody. No Notion, no wiki, no Slack-archaeology.
Decision archaeology. Every ADR is a first-class decision entity with supersedes / derived_from edges. A year later you can trace *why* the F-1 engine stayed, *what* the Apollo 13 post-mortem triggered, and *which* design superseded which. Time-travel queries via get_related(as_of: "2026-01-01").
Incident → fix loop. A production incident becomes a fact with severity: high. The mitigation ADR links triggered_by that fact. The runbook documents the ADR. When you hire someone six months later, they read one graph walk instead of twelve Slack threads.
Literature / research digest. An agent ingests a paper, creates a note for the source, extracts concept and fact entities, attaches mentions edges. You query the graph by topic; every claim has provenance back to a derived_from note.
Private "second brain" that an agent actually uses. Capture with inbox_item, promote to task/concept/fact during a weekly review, archive with supersedes. Your notes are structured without you having to touch a form.
# 1. Clone
git clone https://github.com/pcas-io/plexus.git cd plexus
scripts/bootstrap_env.sh
docker compose up -d
open http://localhost:8787
The admin token you'll need for the very first login is in .env:
grep '^PLEXUS_ADMIN_TOKEN=' .env
Copy that hex value — the next section walks through the one-time bootstrap.
Full configuration reference is in .env.example. Deployment notes for Coolify, plain Docker, and Kubernetes are below.
plexus boots on an empty database with no user. You'll use your PLEXUS_ADMIN_TOKEN once to create the first admin account, then it steps aside.
The scripts/bootstrap_env.sh script you ran in the Quickstart wrote the token into your .env. Read it back:
grep '^PLEXUS_ADMIN_TOKEN=' .env
Copy the hex value after the =. You'll paste it *once* into the dashboard; after the bootstrap, plexus rejects the admin token on MCP and on normal login.
| # | What you do | What plexus does |
|---|---|---|
| 1 | Open http://localhost:8787 | Shows the login form |
| 2 | Paste the admin token, click Continue | Recognises "admin token + no admin user exists" → redirects to /bootstrap |
| 3 | Enter an admin name (letters, digits, _, -, .), Create admin | Creates the admin user, shows a new personal token pt_… once. Copy it. |
| 4 | Click Continue to login | Back to /auth/login, pending-auth cookie set |
| 5 | Paste the pt_ token | Shows the passkey-enrollment screen |
| 6 | Register passkey now, confirm with Touch ID / Face ID / Windows Hello / YubiKey | Stores the passkey, then rotates the `pt_` token and shows the new one once. Overwrite your password-manager entry. |
| 7 | Sign in with new token, paste new token, tap passkey | Lands you on /home |
From here on, the admin token is only used for admin-plane endpoints (backup, reset). It's rejected on MCP and on normal dashboard login.
The initial tokens (admin + first pt_) are one-shot invitation codes. If anything intercepted them — mail, chat, a screen share — rotation makes that capture worthless the moment you sign in. For additional users you create via /users, the same admin→user handoff + first-enroll rotation protects them the same way.
The /help page inside the dashboard covers everything else: MCP integration, token scoping, passkey management, share links, graph view.
plexus speaks Model Context Protocol over POST /mcp. Any MCP-capable client can connect.
Settings → Integrations → Add Custom Integration → https:// /mcp. plexus handles OAuth automatically — you'll see a consent screen once.
claude mcp add plexus --transport http \
--header "Authorization: Bearer pt_YOUR_TOKEN" \ https:// /mcp
In ~/Library/Application Support/Claude/claude_desktop_config.json:
{
"mcpServers": { "plexus": { "type": "http", "url": "https:// /mcp", "headers": { "Authorization": "Bearer pt_YOUR_TOKEN" } } } }
plexus exposes 15 tools.
| Tool | Purpose | Scope |
|---|---|---|
save_entity | Create a new entity | write |
get_entity | Fetch a single entity by id | read |
list_entities | List with filters (kind, context, status) | read |
search_entities | BM25-ranked full-text search with optional highlighting | read |
update_entity | Update with optimistic locking (expected_version) | write |
archive_entity | Soft-delete (status → archived) | write |
link_entities | Create a temporal edge between two entities | write |
unlink_entity | Invalidate an edge (valid_to = now) | write |
get_related | Traverse edges with direction + point-in-time filter | read |
list_kinds | Query the kind registry | read |
list_relations | Query the relation registry | read |
context_load | Session warm-up — 20 most recent entities + registries | read |
lint_graph | Orphans + duplicate-title check | read |
list_skills | Compact index of all skills | read |
load_skill | Load one skill by name, trigger phrase, or BM25 fallback | read |
Every tool enforces scope at the handler boundary: requireWrite(), checkContext(), checkKind(), and rejectSecret(). kind=secret is unreachable via MCP and filtered out of every read response.
Paste this block into any MCP-capable agent (Claude web custom integration, Claude Code CLI, Claude Desktop, Le Chat, a custom SDK harness). It's written tight on purpose — every line earns its place. Model-agnostic
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요