原型 · 预览版:收录官方注册中心里的全部服务器,每 30 分钟同步一次。评价和账户功能将在后续阶段推出。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

briefd

作者:ismailperim版本 0.6.1i★ –i在你的电脑上运行
注册名称io.github.ismailperim/briefd

安装

概览

作者提供的说明(英文原文)

Git-backed team knowledge compiled into token-budgeted context bundles for coding agents

PopNx MCP 的三大支柱

这三项永远不会合并成一个分数:意见、测量和人气是不同的东西。

它能帮你做什么

我们还没有为它写通俗的介绍。下面是我们从注册中心读取到的事实。

  • 连接方式: 在你的电脑上运行
  • 传输方式: Streamable HTTP
  • 分类: 搜索与 AI 记忆
  • 你需要填写:BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN

安装

选择你使用的 AI 应用,然后复制设置。

安装之前

  • 基础检查:1 项中通过 1 项
  • 在你的电脑上运行,拥有你的用户账户的权限(文件、网络、应用)。
  • 需要你自己填写: BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN

标为机密的值是你账户的钥匙。千万不要分享给别人,也不要粘贴到聊天里。

你需要

你用的是哪个应用?

在上方选择你的应用。我们会记住它,下次按钮会显示“安装到 …”。

打开 Claude Desktop → Settings → Developer → Edit Config,把下面的内容粘贴到 claude_desktop_config.json

{
  "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"
      }
    }
  }
}

在终端中运行这条命令

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

运行前请先填写空着的值。

在 Cursor 中打开

或者自己复制设置

粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

在 VS Code 中打开

或者自己复制设置

粘贴到项目中的 .vscode/mcp.json

{
  "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"
      }
    }
  }
}

浏览器会先询问是否打开应用,然后应用会显示设置并请你确认。密钥的值会留空,由你自己填写。

这个服务器在你的电脑上运行,而 ChatGPT 只能连接互联网上的服务器。请选择其他应用。

你的选择通过 Cookie 保存在这台设备上,无需账户。

需要你填写的值

  • BRIEFD_SOURCE 必填 env
    Knowledge repository: a git URL (https://…, git@…) or a mounted directory with domain/, conventions/, projects/ /
  • BRIEFD_API_TOKEN 机密 必填 env
    Bearer token clients must send to /mcp and /api
  • BRIEFD_GIT_TOKEN 机密 env
    Token for private HTTPS git remotes

这些设置是根据作者在注册中心的条目生成的。如果 README 的写法不同,请以 README 为准。

它能做什么

它在你的电脑上运行;安装后,工具列表会显示在你的 AI 应用中。

基础检查i

我们检查的是任何人都能看到的信息;我们没有阅读代码。不适用的检查项不计入总数。 · 检查于 2026年11月7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 ismailperim 验证,该账户拥有此仓库

  • … 尚未检查

    仍在维护

    我们还没有从 GitHub 读取这个仓库

  • … 尚未检查

    有许可证

    我们还没有从 GitHub 读取这个仓库

  • – 不适用

    端点有响应

    它在你的电脑上运行,没有互联网端点

  • – 不适用

    使用 OAuth 登录

    在你的电脑上运行,改用本地设置

  • … 尚未检查

    工具描述中没有隐藏指令

    它在你的电脑上运行;我们只能读取互联网端点的工具列表

与“搜索与 AI 记忆”中的其他服务器比较i

  • 星标数多于此分类中其他 7274 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7274 个服务器的 51% 更新
  • 基础检查结果等于或优于此分类中其他 7274 个服务器的 100%

与注册中心里这个分类中所有活跃的服务器比较。只有当发布者拥有该仓库时,星标数才计入。

常见问题

briefd 安全吗?

它在 1 项适用的基础检查中通过了 1 项。我们没有阅读代码。在添加密钥或令牌之前,请先看看这个服务器要求哪些权限,并使用只具备所需权限的密钥。

它需要哪些密钥或代码?

你需要填写:BRIEFD_SOURCE, BRIEFD_API_TOKEN, BRIEFD_GIT_TOKEN

它在我的电脑上运行还是在云端?

它在你的电脑上运行。你的 AI 应用会在需要时启动它,数据不会经过作者的服务器(除非它自己调用在线服务)。

它还在维护吗?

GitHub 仓库最后更新于–,最新版本(0.6.1)于37天前进入注册中心。

哪些应用可以使用它?

支持 MCP 的应用,例如 Claude Desktop、Claude Code、Cursor 和 VS Code。你的电脑上还需要有 Docker。

有什么可以替代它?

同一分类中有:Context7, Codebase Memory, Exa

替代选择

同一分类中其他作者的服务器,按星标数排序。

如何看卡片:★ GitHub 星标i三大支柱:评价 · 检查 · 使用情况i更新 = 最新版本发布到注册中心的时间i

Context7

作者:upstash

Up-to-date docs for AI agents

电脑或云端★ 64,224MIT昨天更新
安装

Codebase Memory

作者:DeusData

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

在你的电脑上运行★ 48,148MIT21天前更新
安装

Exa

作者:exa-labs

Connect AI agents to Exa for web search, content fetching, and multi-step research.

在云端运行★ 5,213MIT上个月更新
安装

作者的 README

打开 README

按原文从作者的仓库复制。PopNx MCP 没有审查或背书其内容。HTML、图片和脚本已被移除。链接会离开本站。

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.

Why

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.

Not another agent memory

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 memorybriefd
Source of truthA database the agent writes toMarkdown in a git repository
Who writesThe agent, automaticallyPeople; agents open pull requests
ScopeOne agent / one userThe whole team, every project in the domain
ReviewNoneEvery change has a diff, a reviewer and a name
StalenessUnknownDates on every section; drift against the code it governs
What it can't answerSilently absentListed on the dashboard as a backlog
FootprintRuntime + engine + several portsOne static binary, one SQLite file, one port (or stdio)
Tool surfaceDozens of tools, thousands of tokens per session7 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.

How it works

  • Git is the source of truth. The index is a disposable cache rebuilt from a clone.
  • Agents never write to the index. propose_update opens a reviewable branch/PR; what briefd serves changes only when a human merges.
  • Hybrid retrieval, no external services. SQLite FTS5 (BM25) + multilingual embeddings (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.
  • Hard token budgets. Every API that returns context takes max_tokens and never exceeds it.

Quickstart

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

2. serve the sample knowledge repo (downloads the 470 MB multilingual embedding model once)

./bin/briefd serve --source testdata/knowledge --db /tmp/briefd.db --token dev-token

3. connect Claude Code

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.

Tools

ToolWhat 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.

Your knowledge repo

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.

Obsidian vaults and links

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.

Running it for real

只显示了开头部分;其余内容请在仓库中阅读

问 PopNx