Context7
Up-to-date docs for AI agents
제작자가 쓴 설명(영어 원문)
Git-backed team knowledge compiled into token-budgeted context bundles for coding agents
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.
BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN비밀로 표시된 값은 내 계정의 열쇠예요. 절대 다른 사람과 공유하거나 채팅에 붙여 넣지 마세요.
필요한 것
어떤 앱을 쓰세요?
위에서 앱을 고르세요. 기억해 두었다가 다음부터는 버튼에 “…에 설치”라고 표시해요.
Claude Desktop → Settings → Developer → Edit Config를 열고 claude_desktop_config.json에 이 내용을 붙여 넣으세요
{
"mcpServers": {
"briefd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}터미널에서 이 명령어를 실행하세요
claude mcp add briefd --env BRIEFD_SOURCE=your-value --env BRIEFD_API_TOKEN=your-value --env BRIEFD_GIT_TOKEN=your-value -- docker run -i --rm -e BRIEFD_SOURCE -e BRIEFD_API_TOKEN -e BRIEFD_GIT_TOKEN ghcr.io/ismailperim/briefd:0.6.1실행하기 전에 빈 값을 채워 주세요.
프로젝트의 .cursor/mcp.json 또는 ~/.cursor/mcp.json에 붙여 넣으세요
{
"mcpServers": {
"briefd": {
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
프로젝트의 .vscode/mcp.json에 붙여 넣으세요
{
"servers": {
"briefd": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"-i",
"--rm",
"-e",
"BRIEFD_SOURCE",
"-e",
"BRIEFD_API_TOKEN",
"-e",
"BRIEFD_GIT_TOKEN",
"ghcr.io/ismailperim/briefd:0.6.1"
],
"env": {
"BRIEFD_SOURCE": "your-value",
"BRIEFD_API_TOKEN": "your-value",
"BRIEFD_GIT_TOKEN": "your-value"
}
}
}
}브라우저가 앱을 열지 물어본 다음, 앱이 설정을 보여 주고 확인을 요청해요. 키 값은 비워 두니 직접 입력하세요.
이 서버는 내 컴퓨터에서 실행되는데, ChatGPT는 인터넷에 있는 서버에만 연결할 수 있어요. 다른 앱을 고르세요.
선택한 앱은 이 기기의 쿠키에만 저장돼요. 계정은 필요 없어요.
이 설정은 제작자의 레지스트리 정보로 만들었어요. README와 다르면 README를 따르세요.
내 컴퓨터에서 실행돼요. 설치하면 AI 앱에 도구 목록이 나타나요.
누구나 볼 수 있는 정보를 점검했고, 코드는 읽지 않았어요. 해당하지 않는 항목은 개수에서 뺐어요. · 2026년 11월 7일 점검
레지스트리 이름이 GitHub 계정 ismailperim 기준으로 확인되었고, 이 계정이 저장소를 소유하고 있어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
아직 GitHub에서 이 저장소를 읽어 오지 않았어요
내 컴퓨터에서 실행되는 서버라 인터넷 엔드포인트가 없어요
내 컴퓨터에서 실행되며, 대신 로컬 설정을 사용해요
내 컴퓨터에서 실행돼요. 도구 목록은 인터넷 엔드포인트가 있는 서버에서만 읽을 수 있어요
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.
입력해야 할 값: BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN
내 컴퓨터에서 실행돼요. AI 앱이 필요할 때 실행하고, 데이터는 제작자의 서버를 거치지 않아요(서버 자체가 온라인 서비스를 호출하는 경우는 제외).
GitHub 저장소는 마지막으로 – 변경됐고, 최신 버전(0.6.1)은 36일 전 레지스트리에 올라왔어요.
Claude Desktop, Claude Code, Cursor, VS Code처럼 MCP를 지원하는 앱에서 쓸 수 있어요. 내 컴퓨터에 Docker도 있어야 해요.
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.
briefd
Your agents, briefed. Not flooded.
A self-hosted context compiler for AI coding teams: git-backed knowledge, served to coding agents
as token-budgeted context bundles over MCP.
▶ Watch the 90-second explainer · How it works · Quickstart
Teams that build many projects in one domain keep the same knowledge in their heads and in scattered CLAUDE.md / AGENTS.md files: terminology, business rules, architecture decisions, conventions. Loading all of it into every session burns thousands of tokens on every turn, and whatever doesn't fit gets left out.
briefd inverts the model: context on demand, not up front. Your knowledge lives as Markdown in a git repository. briefd indexes it and answers one question from your coding agent — *"what do I need to know for this task?"* — with a compiled, deduplicated bundle that never exceeds the token budget you set.
On the sample knowledge repo in this repository (44 documents, 47 realistic developer tasks), compile_bundle spends 86% fewer tokens per task than pasting everything into `CLAUDE.md` while still containing the section that answers the task 96% of the time (98% with the English-only all-MiniLM-L6-v2 model, the figure the explainer video quotes). The realistic middle ground — a hand-curated CLAUDE.md with just conventions and the glossary — costs 2.8× more than a bundle and has the answer less than half the time.
Reproduce it with make bench; the method is in internal/eval/bench.go.
That is what the tokenizer says. Inside real Claude Code sessions (eval/session/, Sonnet, 10 tasks, same prompts) briefd cut the context carried per turn by 35% and the cost per task by 40% with identical answers — at the price of 3–4 extra tool-call round trips per task. The saving grows with the size of your knowledge repo; a static CLAUDE.md cannot.
Memory tools (agentmemory, Mem0, claude-mem) record what *an agent* observed in its sessions, automatically, per user. briefd serves what *the team* decided, written by people and reviewed like code. They answer different questions and run side by side.
| Agent memory | briefd | |
|---|---|---|
| Source of truth | A database the agent writes to | Markdown in a git repository |
| Who writes | The agent, automatically | People; agents open pull requests |
| Scope | One agent / one user | The whole team, every project in the domain |
| Review | None | Every change has a diff, a reviewer and a name |
| Staleness | Unknown | Dates on every section; drift against the code it governs |
| What it can't answer | Silently absent | Listed on the dashboard as a backlog |
| Footprint | Runtime + engine + several ports | One static binary, one SQLite file, one port (or stdio) |
| Tool surface | Dozens of tools, thousands of tokens per session | 7 tools, ~2.8k tokens per session |
Use a memory tool so your agent remembers what it tried last week. Use briefd so every agent on the team applies the same rules — and so someone notices when a rule falls behind the code.
propose_update opens a reviewable branch/PR; what briefd serves changes only when a human merges.multilingual-e5-small, 100+ languages) computed by a pure-Go encoder, fused with reciprocal rank fusion. No Postgres, no vector database, no ONNX runtime, no CGO.max_tokens and never exceeds it.Try it in 30 seconds — no repository needed:
briefd demo # serves the built-in sample knowledge base on http://127.0.0.1:7788
Then open the dashboard, or point an agent at it: claude mcp add --transport http briefd http://127.0.0.1:7788/mcp. The first run downloads the embedding model (about 470 MB); briefd demo --embeddings none skips it.
With your own knowledge:
# 1. build (Go >= 1.26) or grab a binary from the releases page
git clone https://github.com/ismailperim/briefd && cd briefd && make build
./bin/briefd serve --source testdata/knowledge --db /tmp/briefd.db --token dev-token
claude mcp add --transport http briefd http://localhost:7788/mcp \ --header "Authorization: Bearer dev-token"
Open http://localhost:7788/ for the dashboard, then ask Claude Code something the sample corpus knows — *"what's our retry policy for acquirer calls?"* or *"ters ibraz nedir?"* — and watch search_context / compile_bundle show up in the request log.
Any MCP client that speaks streamable HTTP works. For a project-level .mcp.json:
{
"mcpServers": { "briefd": { "type": "http", "url": "http://localhost:7788/mcp", "headers": { "Authorization": "Bearer dev-token" } } } }
Let the agent install it. Hand your coding agent one instruction:
Retrieve and follow the instructions at: https://raw.githubusercontent.com/ismailperim/briefd/main/INSTALL_FOR_AGENTS.md
Teach the agent when to ask. Tools an agent does not call save nothing. The skills/briefd skill tells Claude Code (and any agent that reads SKILL.md) when to compile a bundle, how to treat a stale section and when to propose an update; the same guidance as a CLAUDE.md paragraph is in deploy/local/CLAUDE.md.
npx skills add ismailperim/briefd
Single-user, no server? briefd mcp speaks MCP over stdio — the same tools, the same index, no port and no token. Claude Desktop, Cursor's stdio config and MCP directory inspectors launch it directly:
{
"mcpServers": { "briefd": { "command": "briefd", "args": ["mcp", "--source", "/path/to/knowledge", "--db", "~/.briefd/knowledge.db"] } } }
Use serve when a team shares one instance (dashboard, metrics, webhook, REST); use mcp when the agent runs on the machine that holds the checkout.
| Tool | What it does |
|---|---|
compile_bundle(task_description, max_tokens?, scopes?, paths?) | One deduplicated context block within the budget, ordered domain → conventions → project, with a source line per section and a bundle_id. Deterministic and cached. |
search_context(query, max_tokens?, scopes?, top_k?, paths?) | Ranked sections that fit the budget, for inspection. paths (code paths being edited) pull the documents whose refs cover them to the top. |
get_document(doc_path, scopes?) | One document in full. |
list_scopes() | Scopes with document/section counts. |
propose_update(doc_path, change_description, new_content) | Creates branch briefd/proposal- (+ pull request when configured). Never touches the index. |
report_usage(bundle_id, useful_chunk_ids) | Optional feedback: which sections helped. An empty list marks the question as a knowledge gap. |
suggest_links(doc_path?, limit?) | Links the knowledge base is missing (a document names another without linking it) and broken links — for an agent tidying the knowledge base via propose_update. |
The same operations are available over REST (/api/search, POST /api/bundle, /api/docs/{path}, /api/scopes, POST /api/proposals, POST /api/usage, /api/gaps, /api/health, /api/stats) behind the same bearer token.
briefd expects a git repository (or directory) of Markdown with three kinds of folders (briefd init scaffolds it with example documents):
knowledge-repo/
├── domain/ # shared: terminology, business rules, ADRs ├── conventions/ # shared: coding standards, infra patterns └── projects/ ├── ledger-service/ # visible only when scope "projects/ledger-service" is requested └── merchant-portal/
Documents are split on ##/### headings into sections of roughly 200–800 tokens with stable ids, so a section can be quoted on its own. Optional front matter adds metadata:
---
title: Retry policy # defaults to the first H1 tags: [payments, resilience] refs: ["services/payment/**"] # code paths this doc governs
testdata/knowledge/ is a complete example (a fictional payments platform) and doubles as the evaluation corpus.
A knowledge repository can be an Obsidian vault. briefd reads [[wikilinks]] in the text and in front-matter properties such as related: (including [[note|alias]] and [[note#heading]]) and relative Markdown links, resolves them the way Obsidian does (by path, or by file name anywhere in the repository), and builds a link graph: the dashboard draws it, get_document returns each document's links and backlinks so an agent can follow them, and orphans (nothing links here) and broken links (the target does not exist) are listed as maintenance signals next to gaps and coverage. Folder scopes still apply — domain/, conventions/, projects/ / — so keep the vault's top level in that shape.
앞부분만 보여 드려요. 나머지는 저장소에서 읽어 보세요