Context7
Up-to-date docs for AI agents
作者による説明(英語の原文)
Git-backed team knowledge compiled into token-budgeted context bundles for coding agents
この3つを1つのスコアにまとめることはしません。意見、測定、人気はそれぞれ別のものだからです。
このサーバーのやさしい解説はまだ書いていません。以下はレジストリから読み取った事実です。
使っているAIアプリを選んで、設定をコピーしてください。
BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN「秘密」と表示された値は、あなたのアカウントの鍵です。絶対に人に教えたり、チャットに貼り付けたりしないでください。
必要なもの
どのアプリを使っていますか?
上でアプリを選んでください。選んだアプリを覚えておくので、次からはボタンに「…にインストール」と表示されます。
Claude Desktop → Settings → Developer → Edit Config を開き、claude_desktop_config.json にこれを貼り付けます
{
"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"
}
}
}
}ターミナルでこれを実行します
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:0.6.1動かす前に、空欄の値を入力してください。
プロジェクトの .cursor/mcp.json、または ~/.cursor/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
プロジェクトの .vscode/mcp.json に貼り付けます
{
"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"
}
}
}
}ブラウザがアプリを開いてよいか確認し、そのあとアプリが設定を表示して確認を求めます。キーの値は空欄のままなので、自分で入力してください。
これはパソコンで動くサーバーですが、ChatGPTがつなげるのはインターネット上のサーバーだけです。ほかのアプリを選んでください。
選んだアプリは、この端末のCookieに保存されます。アカウントは不要です。
この設定は、作者のレジストリ登録情報から作成しています。READMEと違う場合は、READMEに従ってください。
パソコンで動くサーバーです。インストールすると、ツール一覧がAIアプリに表示されます。
誰でも見られる情報をチェックしており、コードは読んでいません。当てはまらない項目は数に入れていません。 · 2026年11月7日にチェック
レジストリ名は、リポジトリを所有するGitHubアカウント ismailperim で確認済みです
このリポジトリはまだGitHubから読み取っていません
このリポジトリはまだGitHubから読み取っていません
これはパソコンで動くため、インターネット上のエンドポイントはありません
パソコンで動き、代わりにローカルの設定を使います
パソコンで動くサーバーです。ツール一覧を読み取れるのは、インターネット上のエンドポイントがある場合だけです
レジストリでこのカテゴリにある有効なすべてのサーバーと比較しています。スターは、公開者がリポジトリの所有者である場合だけ数えます。
当てはまる基本チェック1項目のうち1項目に合格しました。コードは読んでいません。キーやトークンを追加する前に、サーバーがどんなアクセスを求めているかを確認し、必要な権限だけを持つキーを使ってください。
入力が必要なもの:BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN
あなたのパソコンで動きます。必要なときにAIアプリが起動し、データは作者のサーバーを通りません(サーバー自体がオンラインサービスを呼び出す場合を除きます)。
GitHubリポジトリの最終更新は–、最新バージョン(0.6.1)がレジストリに届いたのは36 日前です。
Claude Desktop、Claude Code、Cursor、VS CodeなどのMCP対応アプリで使えます。パソコンにDockerも必要です。
同じカテゴリには:Context7, Codebase Memory, Exa
同じカテゴリで、ほかの作者が作ったサーバー。スターの多い順。
カードの見方:★ GitHubスターi3つの柱:レビュー · チェック · 利用状況i更新=最新バージョンをレジストリに公開した日i
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.
作者のリポジトリから書かれたとおりにコピーしたものです。PopNx MCPは内容を確認・推奨していません。HTML、画像、スクリプトは取り除いています。リンクはこのサイトの外へ移動します。
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.
冒頭だけを表示しています。続きはリポジトリで読めます