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

ContextLib

作者:willykeenan版本 0.1.0i★ –i在你的电脑上运行
注册名称io.github.willykeenan/agentbrain-contextlib

安装

概览

作者提供的说明(英文原文)

A project's long-term memory as plain Markdown files, with an append-only, tamper-evident log.

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: stdio
  • 分类: 搜索与 AI 记忆

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)。
  • 注册中心没有列出需要填写的密钥。

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": {
    "agentbrain-contextlib": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add agentbrain-contextlib -- docker run -i --rm ghcr.io/willykeenan/agentbrain-contextlib:0.1.0 mcp --identity '{identity}'

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": {
    "agentbrain-contextlib": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

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": {
    "agentbrain-contextlib": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/willykeenan/agentbrain-contextlib:0.1.0",
        "mcp",
        "--identity",
        "{identity}"
      ]
    }
  }
}

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。

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6日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 willykeenan 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 7245 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 7245 个服务器的 49% 更新
  • 基础检查结果等于或优于此分类中其他 7245 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

ContextLib 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?

注册中心没有列出必需的密钥,不过有些服务器会在首次使用时要求你登录。

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(0.1.0)于41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今天更新
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★ 48,148MIT20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。

ContextLib

A project library that outlives every agent session.

Real screenshot of the sample library (an invented project).

A ctxlib session: an owner's decision lands current, an agent's lesson waits in the inbox, a secret is refused, and doctor passes.

Each project's knowledge — decisions, requirements, facts, lessons, glossary, sources and returned work — is stored as plain Markdown files with a small front-matter block, in one folder per project. The folders can sit on an external SSD. A person can understand a project from Finder alone. Agents read and write the same files through a CLI (ctxlib) and an MCP server (context_* tools). Any database is a search index rebuilt from the files, never the source of truth.

It is the open core of the context plugin of AgentBrain.

The Python package is agentbrain_contextlib. The CLI is ctxlib. Python 3.9+, standard library only. Git is optional.

Why

Agent sessions end. Chat logs drift. A store that only a model can parse is a dead end the first time you open Finder on an airplane.

ContextLib keeps the durable layer as files you can read, diff, copy, and take to another Mac. The search index is disposable. The Markdown is the product.

60-second quickstart

pip install "git+https://github.com/willykeenan/agentbrain-contextlib"

ctxlib init ~/ContextLib --project lighthouse-app \ --name "Lighthouse App" \ --purpose "Harbor dashboard for lamp status, fog signals, and traffic"

ctxlib add lighthouse-app decision "Use keeper logs as lamp status" \ --body "Decision: Lamp status comes from keeper logs, not AIS." \ --author mara \ --tag lamp --tag keeper-log

ctxlib brief lighthouse-app ctxlib doctor lighthouse-app --ten-minute

The library path is --library PATH, else env CONTEXTLIB_ROOT, else ~/ContextLib.

A finished sample you can open in Finder without installing anything lives at examples/sample-library/. Start at that README, then the project BRIEF, then decisions/INDEX.md.

Full walkthrough: docs/QUICKSTART.md.

CLI (ctxlib)

ctxlib [--library PATH] COMMAND
CommandWhat it does
init PATH [--project SLUG --name NAME --purpose TEXT]Create a library (and optionally the first project)
project add SLUG NAME [--purpose]Add a project folder
project listList projects
`add PROJECT TYPE TITLE (--body TEXT \--body-file F) --author ID [options]`Write a record (--evidence, --tag, --review-by, --approved-by)
get PROJECT IDPrint one record, with evidence state and supersession chain
search PROJECT QUERY [--type] [--all]Search the rebuildable index
brief PROJECTPrint the always-loaded summary (≤ 8192 bytes)
supersede PROJECT OLD NEW --reason TEXT --author IDMark old superseded, move the file, keep the body hash
`review PROJECT ID confirm\retire --note TEXT --author ID`Confirm or retire a record
inbox PROJECTList proposed records
accept PROJECT ID --author IDMove inbox → current
reject PROJECT ID --reason TEXT --author IDMove inbox → rejected
due PROJECTRecords whose review_by is due
`regen PROJECT\--all`Rewrite BRIEF, INDEX, GLOSSARY, TIMELINE, README
rebuildRebuild the SQLite search index from files
capture PROJECT RESULT.jsonTurn a result file into a return (and proposed lessons)
import-md PROJECT FILE --type TYPE --author IDMarkdown file → record
export PROJECT OUT_DIR [--include-private]Zip a project
import BUNDLEImport a zip
doctor [PROJECT] [--ten-minute]Plain-English health check
syncgit pull / git push when the library is a git repo; otherwise a no-op with a message
mcp --identity IDStdio MCP server; the identity is fixed for the process

Types: decision, requirement, fact, lesson, glossary, source, return, brief-note.

MCP (context_* tools)

ctxlib mcp --identity ID is a stdio JSON-RPC server. Protocol versions: 2024-11-05, 2025-03-26, 2025-06-18.

Tools: context_brief, context_search, context_get, context_record, context_supersede, context_review_due, context_review, context_capture, context_export, context_import, context_status.

The identity is fixed at start. Tools cannot write as another identity. Errors come back as isError results.

Claude Code
{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "claude:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Codex
{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "codex:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Cursor

In .cursor/mcp.json (project) or ~/.cursor/mcp.json (user):

{

"mcpServers": { "contextlib": { "command": "ctxlib", "args": ["mcp", "--identity", "cursor:project"], "env": { "CONTEXTLIB_ROOT": "/Volumes/SSD/ContextLib" } } } }

Details: docs/MCP.md.

Record format

A record is UTF-8 Markdown. It starts with a YAML-like front-matter block (scalars, quoted strings, lists of scalars, lists of flat maps) and a Markdown body. The body hash is stored in the front-matter; bodies are not rewritten.

---

id: dec-20260926-7f3a type: decision title: Use plain files as the source of truth status: current project: lighthouse-app scope: {lane: workstream, team: owner} created: 2026-09-26T14:03:00Z author: mara approved_by: mara — "files first, database is only an index" evidence:

  • {ref: "project:BRIEF.md"}
  • {ref: "url:https://example.com/x"}

supersedes: [] superseded_by: null review_by: 2027-03-25 tags: [storage, library] sensitivity: normal body_sha256: "…"


Decision: … Why: … Consequences: … How to verify: …

Evidence refs are project: , ssd: , room: # , url: , or note: . Absolute home paths and secrets are refused at write time.

Ids: - -<4 hex> with prefixes dec, req, fact, les, glo, src, ret, note.

Files: _ _ .md. Superseded records move to superseded/ with the body hash still valid.

Library layout

<library root>/

├── README.md how to read this in 10 minutes ├── INDEX.md one line per project ├── library.json {"format": "contextlib/1", "library_id", "created"} └── projects/ / ├── README.md BRIEF.md GLOSSARY.md TIMELINE.md project.json ├── decisions/ requirements/ facts/ lessons/ glossary/ sources/ returns/ │ ├── INDEX.md │ ├── _ _ .md │ └── superseded/ ├── inbox/ proposed records ├── exports/ └── .contextlib/ ledger + rebuildable index.sqlite

Keeping the library on an SSD, using it unplugged, and moving it between Macs: docs/SSD.md.

Develop

PYTHONPATH=src python3 -m unittest discover -s tests

python3 tools/check.py packaging

Python 3.9+, standard library only. See CONTRIBUTING.md and CHANGELOG.md.

Apache-2.0, copyright KE Studios. SECURITY.md for reports.

ContextLib is the open library layer of AgentBrain (agentrooms.io).

Run with Docker

The image is published at ghcr.io/willykeenan/agentbrain-contextlib for Apple silicon and Intel. Mount your library at /library:

claude mcp add contextlib -- docker run -i --rm --user "$(id -u):$(id -g)" -v ~/ContextLib:/library ghcr.io/willykeenan/agentbrain-contextlib mcp --identity you
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