cambium (remote)
概览
作者提供的说明(英文原文)
Cloudflare Worker for read-only recall of cambium knowledge. MCP 2026-07-28, dual-era.
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。
- 用户评价i暂无评价评价功能将在后续阶段与账户功能一起开放
- 我们的基础检查i1 项中通过 1 项依据公开信息检查;尚未扫描代码
- 使用情况i非常新★ –
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: 在云端运行
- 传输方式: Streamable HTTP
- 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
- 在作者的服务器上运行:你向它提出的内容会经过他们的服务器。
- 注册中心没有列出需要填写的密钥。
你需要
- 在云端运行无需安装任何东西,通过互联网连接
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 …”。
适用于网页版、桌面版和手机版 Claude:
- 打开 Settings → Connectors
- 点击 Add custom connector
- 粘贴下面的地址,然后点击 Add
- 如果要求登录,请登录作者的服务
https://cambium-remote.{account}.workers.dev/mcp/{token}地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
在终端中运行这条命令
claude mcp add --transport http cambium-remote 'https://cambium-remote.{account}.workers.dev/mcp/{token}'地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
或者自己复制设置
粘贴到项目中的 .cursor/mcp.json,或 ~/.cursor/mcp.json
{
"mcpServers": {
"cambium-remote": {
"url": "https://cambium-remote.{account}.workers.dev/mcp/{token}"
}
}
}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。
地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
或者自己复制设置
粘贴到项目中的 .vscode/mcp.json
{
"servers": {
"cambium-remote": {
"type": "http",
"url": "https://cambium-remote.{account}.workers.dev/mcp/{token}"
}
}
}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。
ChatGPT 只能连接互联网上的服务器:
- 打开网页版 ChatGPT → Settings → Connectors (Apps)
- 点击 Create 或 Add(部分套餐需要先在 Advanced 中开启 Developer mode)
- 粘贴下面的地址,起个名字,然后保存
- 如果要求登录,请登录作者的服务
https://cambium-remote.{account}.workers.dev/mcp/{token}地址中有只有你知道的 {…} 部分(例如你的账户),请复制后自行填写。
菜单名称可能因套餐和版本不同而略有差异。
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
我们还没有读取这个服务器的工具列表;我们会轮流检查各个端点。
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8日
- ✓ 通过
作者与仓库一致
注册名称已通过 GitHub 账户 jarmstrong158 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
这个地址需要填入你自己的账户信息,所以我们无法替你检查
- – 不适用
使用 OAuth 登录
这个地址需要填入你自己的账户信息,所以我们无法替你检查
- … 尚未检查
工具描述中没有隐藏指令
尚未检查;我们会在检查端点时读取工具列表
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 5696 个服务器的 0%
- 发布到注册中心的时间比此分类中其他 5696 个服务器的 27% 更新
- 基础检查结果等于或优于此分类中其他 5696 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
cambium (remote) 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?
它在作者的云端运行。通过互联网连接,无需安装,但你发送的内容会经过作者的服务器。
它还在维护吗?
GitHub 仓库最后更新于–,最新版本(0.2.0)于3个月前进入注册中心。
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。它通过 URL 连接,所以接受远程 MCP 服务器的应用也可以使用,例如开启开发者模式的 ChatGPT。
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:↓ 每周下载量i★ 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
Codebase Memory
Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.
Exa
Connect AI agents to Exa for web search, content fetching, and multi-step research.
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。
cambium-remote
_Part of the xylem stack._
A Cloudflare Worker MCP server that makes cambium's promoted knowledge recallable from claude.ai (including mobile) — read-only.
Local cambium is a desktop stdio server; its team knowledge lives on a cambium branch of each project repo and its org knowledge lives in a dedicated knowledge repo — both plain knowledge.json files in git. This Worker reads those files through the GitHub Contents API and serves recall() over them, the same pattern agentsync-remote uses for the coordination board.
Read-only by design. It exposes recall and status. It does not distill, endorse, or promote (those are CAS writes / the generalization gate — desktop-only), and recall here does not increment recall counts (so it never feeds promotion). Local (personal, unpromoted) scope is desktop-only and not reachable remotely — only the promoted team and org tiers are.
Tools
- `recall(query, scope?, limit?)` — search team + org knowledge.
scope:auto(default, team+org) |team|org. Abstains withno_confident_matchbelow the relevance floor, exactly like local cambium. - `status()` — what the Worker is configured to read and how many active items each scope holds. Call it first if recall looks empty.
⚠️ Trust model — read this before pointing it at an org
Team "scope" is a read selector, not an authorization control. It answers *"where do we look"*, not *"who is allowed to tell us things"*. Nothing in this Worker checks provenance, signatures, or authorship of the knowledge it serves.
In the default TEAM_SCOPE_MODE = "discover" mode, the entire membership test for team scope is:
does this repo, owned by
TEAM_OWNER, have a branch namedTEAM_BRANCH?
There is no allowlist and no denylist. So:
- **Anyone who can push a
cambiumbranch to *any* repo underTEAM_OWNERcan inject into your org-wide recall** — an outside contributor with write access to one small repo, a compromised CI token, a collaborator you forgot to remove. Theirknowledge.jsonis read as authoritative team knowledge. - It takes effect within the 5-minute discovery cache TTL. No redeploy, no review, no notification.
recall()output is exactly the kind of thing an agent treats as established fact and acts on. This is an injection path into agent behaviour, not merely a data-quality problem.
Discovery remains the default because it is genuinely safe in the single-operator case this was built for, and because changing it silently would empty team scope on existing deployments. It is safe only if you are the only person who can push under `TEAM_OWNER`.
If anyone else can push under TEAM_OWNER, use strict mode
TEAM_SCOPE_MODE = "allowlist"
TEAM_REPOS = "owner/repo-a,owner/repo-b"
Team scope then becomes exactly those repos. No discovery scan is performed, and TEAM_OWNER is ignored entirely — so leaving it set in wrangler.toml cannot silently re-widen your scope later. Adding a repo becomes a deliberate config change.
status() reports which model is in force, in plain language, in its own output. If you are unsure what a deployment is doing, call it.
What status() deliberately does *not* tell you
By default status() returns the count of team repos, not their names. In discover mode those names are the output of a scan over everything TEAM_OWNER owns, so they enumerate private repositories — their existence and their names — to anyone holding the path token, who has no GitHub identity and no repo permissions of their own. The count answers the actual diagnostic question ("is team scope finding anything?"). Set STATUS_DISCLOSE_REPOS = "true" to opt back in. In allowlist mode names are always shown: they are your own committed config, not a discovery result.
GH_PAT is the broadest credential in the xylem stack
Discovery requires Metadata: Read + Contents: Read across every repo under `TEAM_OWNER`, including private ones. That makes this Worker's PAT substantially more powerful than agentsync-remote's (scoped to one coordination repo). Two consequences worth acting on:
- Prefer
allowlistmode, which lets you scope the PAT to only the listed repos instead of the whole account. - Treat a leak of
AUTH_TOKENhere as more serious than for the siblings: the Worker will read any in-scope repo on the caller's behalf.
Configure (wrangler.toml vars)
| var | meaning |
|---|---|
ORG_REPO | owner/name of the dedicated org knowledge repo (its default branch's knowledge.json). Blank = no org recall. |
TEAM_SCOPE_MODE | discover (default) or allowlist. A trust decision — see Trust model. |
TEAM_OWNER | *discover mode only.* Owner (user/org) to auto-discover team repos under; every repo of theirs with TEAM_BRANCH is read. Blank = no discovery. Ignored in `allowlist` mode. |
TEAM_REPOS | *discover mode:* optional extra owner/name repos on top of discovery. *allowlist mode:* the complete team-scope set, comma-separated. |
TEAM_BRANCH | team-scope branch (default cambium). |
KNOWLEDGE_PATH | file name (default knowledge.json). |
STATUS_DISCLOSE_REPOS | "true" lets status() list team repo names. Default off — discovered names can include private repos. |
In discover mode team scope is a *growing* set: a newly team-promoted repo shows up on mobile within minutes with no redeploy. One GraphQL scan per few minutes (cached in-isolate) lists the repos; a repo without the branch is skipped.
Deploy
npm install
npm run typecheck && npm test npx wrangler deploy
then set the two secrets in the Cloudflare dashboard (never in the repo):
npx wrangler secret put AUTH_TOKEN # the path-token credential; URL is /mcp/ npx wrangler secret put GH_PAT # fine-grained GitHub token: Metadata: Read + Contents: Read across your repos
# (team scope is auto-discovered, so it needs to see all of TEAM_OWNER's repos)
Then add https://cambium-remote. .workers.dev/mcp/ as a custom connector in claude.ai → Settings → Connectors. The whole URL is the credential — treat it like a password.
🔒 Auth — the connector URL is a credential
Path-token: POST /mcp/ , compared against the AUTH_TOKEN secret in time independent of both content and length; anything else returns a bare 404. Same scheme, and now literally the same code (src/shared/mcp-core.ts), as the sibling Workers.
Why the token is in the URL path, and what that costs you
This is a deliberate design choice, not an oversight. claude.ai custom connectors do not reliably send custom headers, so an Authorization: header — the obvious alternative — cannot be depended on. Putting the credential in the path is what makes the connector work at all.
Be clear about the price, because it is not the same as a header:
- URLs get recorded in places request bodies never do. Browser history, shell history, proxy and CDN access logs, crash reports, bug reports, screenshots, "copy link" buttons, and agent session transcripts. During the audit that produced this section, the connector URLs for these Workers were found in ~54 occurrences across 13 local session transcripts on a single machine — none pasted deliberately; they were simply part of the tool configuration an agent echoed back.
- The Worker itself does not log it. Every log line records the route as
/mcp/***. The leak surface is everything *around* the Worker, which is exactly what you cannot audit. - A leak here is the worst of the three, because this Worker's
GH_PATspans every repo underTEAM_OWNER(see Trust model).
Practical guidance:
- Rotate on a schedule, not just on suspicion — assume the URL has been recorded somewhere you don't control. Rotation is cheap: change
AUTH_TOKEN, update the connector. - Rotate immediately if you've shared a terminal recording, a transcript, a screen capture, or a bug report from a machine where the connector is configured.
- Use a long random token (32+ bytes, e.g.
openssl rand -hex 32). - Scope
GH_PATas narrowly as yourTEAM_SCOPE_MODEallows. - If you ever get the chance to use a header or OAuth instead, take it. This tradeoff is forced by the client, not preferred.
Development
npm install
npm run typecheck npm test
CI (.github/workflows/ci.yml) runs typecheck + tests on every push and PR, including in forks. .github/workflows/deploy.yml deploys the canonical repo on green main only, and is guarded by if: github.repository == … so a fork never attempts a deploy it has no secrets for.
License
MIT — see LICENSE, matching the sibling agentsync-remote and context-keeper-remote Workers.
Note for the maintainer: this README previously stated PolyForm
Noncommercial 1.0.0 while the repo shipped no LICENSE file at all. An MIT
LICENSEhas been added here to match both siblings. If PolyForm was the
intended licence for this Worker, replace
LICENSEand this section before
merging — the discrepancy was pre-existing and is flagged rather than assumed.