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。使用 Google 登录即可撰写评价。原型 · 每 30 分钟更新
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

Erkle team memory

作者:erkle-ai版本 0.1.1i★ 1i在云端运行
注册名称ai.erkle/erkle

安装方法

What it does

Shared, scoped, reviewable team memory for AI coding agents.

  • Connects 在云端运行
  • Account or key Sign in to the service when you connect (OAuth)
  • Category 开发者工具

安装

选择你使用的 AI 应用,然后复制设置。

通过 4/4 项检查 · 你的提问会经过开发者的服务器(erkle.ai) · ✓ 命令已检查 2026年11月13日

第一步:你用哪个 AI?

选择你用的应用,步骤会显示在下方。

可连接 Claude · 约 2 分钟

不需要密钥,不用安装程序 · 在 claude.ai 或桌面应用设置一次,即可在聊天中使用 · 免费账户可添加 1 个 · Team/Enterprise 方案由所有者(Owner)添加

  1. 打开 Claude 的 Connectors 页面

    CustomizeConnectors

    CustomizeConnectors1Add2https://…3Add4
  2. 点击“Add” → “Custom” → “Web”,填写这 2 项

    把这里的内容复制到 Claude 中同名的输入框,然后点击 Continue

    Name · 名称Erkle team memory
    Remote MCP server URL · 地址https://erkle.ai/mcp

    在 Claude 检测到的登录设置页点击 Continue · Authentication 按作者说明选择(Sign in now、Sign in when needed 或 No sign in),然后点击 Add

  3. 在聊天中开启

    +ConnectorsErkle team memory

  4. 试一试

    用 Erkle team memory 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude 说正在使用 Erkle team memory,或回答中出现 Erkle team memory 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

能否连接 ChatGPT 取决于方案

完整 MCP:网页版 ChatGPT Business、Enterprise 或 Edu · Pro:以读取/获取权限连接,修改数据的工具可能用不了 · Plus:官方文档尚未确认,如果在插件页看到添加自定义 MCP 的选项可以试试 · 仅限网页

  1. 在网页版 ChatGPT 打开添加 MCP 的页面

    Plugins+Add custom MCP server

    ChatGPTPlugins1+2https://…3Create4
  2. 填写名称和地址

    输入名称,在 Connection 下粘贴地址,勾选风险提示,然后点击 Create as a plugin

    Name · 名称Erkle team memory
    Connection · 地址https://erkle.ai/mcp
  3. 在聊天中选择 Erkle team memory

    开启新聊天,输入前先从插件列表中选择 Erkle team memory

  4. 试一试

    用 Erkle team memory 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 ChatGPT 说正在使用 Erkle team memory,或回答中出现 Erkle team memory 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 OpenAI 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Claude Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 打开终端

    Mac:按 Command+空格,输入 Terminal · Windows:打开 PowerShell

  2. 粘贴这条命令并按 Enter

    claude mcp add --transport http --scope user erkle https://erkle.ai/mcp
  3. 在 Claude Code 中输入 /mcp

    应能看到 Erkle team memory 在列表中并显示已连接

  4. 试一试

    用 Erkle team memory 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Claude Code 说正在使用 Erkle team memory,或回答中出现 Erkle team memory 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Anthropic 帮助页面核实 · 你的界面可能因版本略有不同

可连接 Cursor · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 Cursor

    在 Cursor 中打开

    Cursor 会请你确认安装,点击 Install

  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Erkle team memory 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 Cursor 说正在使用 Erkle team memory,或回答中出现 Erkle team memory 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 Cursor 帮助页面核实 · 你的界面可能因版本略有不同

可连接 VS Code · 约 2 分钟

不需要密钥,不用安装程序

  1. 点击这个按钮打开 VS Code

    在 VS Code 中打开

    VS Code 会请你确认安装,点击 Install

  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Erkle team memory 告诉我你能帮我做什么,然后做一件给我看

    ✓ 如果 VS Code 说正在使用 Erkle team memory,或回答中出现 Erkle team memory 的工具名称,就表示连接成功

菜单名称已于 2026年11月11日 对照 VS Code 帮助页面核实 · 你的界面可能因版本略有不同

其他支持 MCP 的应用(如 Windsurf、Zed、Gemini CLI)添加方式各不相同,请在应用列表中查看

查看所有支持 MCP 的应用 →

通过网页连接的应用使用的地址

地址https://erkle.ai/mcp

JSON 设置在下方“开发者专用”中

卡住了?问问正在用 Erkle team memory 的人💬 讨论 →
开发者专用:终端命令和 JSON 设置

通过网页连接

Claude Code

claude mcp add --transport http --scope user erkle https://erkle.ai/mcp

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "erkle": {
      "url": "https://erkle.ai/mcp"
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "erkle": {
      "type": "http",
      "url": "https://erkle.ai/mcp"
    }
  }
}

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。

一览

每周下载量i
不在 npm/PyPI 上
已验证域名
✓ erkle.ai
连接方式
在云端运行
传输方式
streamable-http
最新版本i
0.1.1
发布到注册中心i
2026年11月13日
代码最后更新i
2026年11月14日
作者
erkle-ai
网站
erkle.ai
注册状态
活跃

哪些应用可以使用它

依据这个服务器的连接方式和各应用自己的文档,检查于 2026年11月10日。

通过互联网连接,适用于

ClaudeChatGPTGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatOpen WebUIRaycast

全部应用及其优缺点 →

它能做什么

服务器要求先登录,才会列出它的工具。

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15日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过域名 erkle.ai 验证(注册中心会核实域名所有权)

  • ✓ 通过

    仍在维护

    代码最后更新于昨天

  • – 不适用

    有许可证

    不适用:由 erkle.ai 的所有者自己运行的云端服务器,你不会运行仓库里的代码

  • ✓ 通过

    端点有响应

    在 683 毫秒内响应(HTTP 401)

  • ✓ 通过

    使用 OAuth 登录

    声明支持 OAuth 登录,你的 AI 应用可以带你去登录

  • … 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

我们检查什么 → · JSON

作者:申请重新检查或报告信息错误

讨论

提问、分享技巧或报告无法使用。按“有帮助”数量排序。

还没有帖子,欢迎第一个提问或分享。

此处内容由用户撰写,不代表 PopNx 团队。

登录后发帖

用户评价

还没有评价

登录后写评价

与“开发者工具”中的其他服务器比较i

  • 星标数多于此分类中其他 5921 个服务器的 69%
  • 发布到注册中心的时间比此分类中其他 5921 个服务器的 93% 更新
  • 基础检查结果等于或优于此分类中其他 5921 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

Erkle team memory 安全吗?

它在 4 项适用的基础检查中通过了 4 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 仓库最后更新于昨天,最新版本(0.1.1)于前天进入注册中心。

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,因此也能用于接受远程 MCP 的应用,例如网页版 ChatGPT(Business 及以上为完整 MCP;Pro 为只读)。

有什么可以替代它?

同一分类中有:GitDiagram, Appllama, Cloudflare MCP, Omnara, Repowise

功能相近的其他选择

同一分类、其他作者、命令已通过检查。官方的排在前面,再按星标排序。

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

GitDiagram

Architecture diagrams, explanations and Mermaid source for public GitHub repositories.

作者:ahmedkhaleel2004广泛使用★ 1.9万2个月前更新

在云端运行✓ 服务方 · gitdiagram.comPopNx 团队已实际试用

Appllama

Study screens, flows and paywalls from top-earning iOS apps, then build from what wins.

作者:Appllama广泛使用★ 51963个月前更新

在云端运行✓ 服务方 · appllama.io

Cloudflare MCP

Cloudflare MCP servers

作者:cloudflare广泛使用★ 446814个月前更新

在云端运行✓ 服务方 · mcp.cloudflare.comPopNx 团队已实际试用

Omnara

Deploy durable AI agents with Omnara, an open-source managed-agent platform.

作者:omnara-ai广泛使用★ 34002个月前更新

在云端运行✓ 服务方 · omnara.com

Repowise

Codebase intelligence for AI coding agents: graph, git history, docs, decisions, code health.

作者:repowise-dev广泛使用↓ 6506/周★ 8145 整个仓库的星标前天更新

电脑或云端✓ 服务方 · repowise.dev
  • GitDiagram — 在云端运行,无需安装 · 不需要密钥
  • Appllama — 在云端运行,无需安装 · 不需要密钥
  • Cloudflare MCP — 在云端运行,无需安装 · 不需要密钥 · 在 Claude 的目录中
  • Omnara — 在云端运行,无需安装 · 不需要密钥
  • Repowise — 云端或安装在电脑上都可以 · 不需要密钥

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。

@erkle/cli

Connect Claude Code, Cursor and Codex to Erkle , shared team memory for AI coding agents, in one command.

npx @erkle/cli init

Your agents forget what your team decided. One teammate's Claude Code learns that the billing service must never retry a charge; tomorrow another teammate's Cursor retries it. CLAUDE.md helps inside one repo, but it doesn't travel across repos, tools, or people, and nobody reviews what goes in it. Erkle gives every agent on the team the same reviewed memory.

What it looks like

After init, a session goes like this (illustrative):

You:    Add retries to the charge endpoint.

Agent: [memory_search "charge endpoint retries" repo=acme/billing] Found 1 constraint (team scope, approved by Dana): "Never retry POST /charges. Stripe idempotency keys expire after 24h, and a retry after that double-charges. Retry only the webhook." I'll add retries to the webhook handler instead and leave /charges alone.

...

Agent: I learned the webhook handler must be idempotent on event.id. Propose it as a convention for acme/billing? [y/n] You: y Agent: [memory_create] Proposed. A maintainer reviews it before it goes live.

What is Erkle?

Erkle is shared, reviewed team memory for AI coding agents. It's a hosted MCP server (https://erkle.ai/mcp) where your team's decisions, conventions, constraints and lessons live, scoped to the team, a project, or a repository. Agents search it before a task and propose what they learned after; maintainers review proposals before they go live. One memory works across Claude Code, Cursor, Codex and claude.ai, so every teammate's agent knows what the team knows.

@erkle/cli is the setup step: erkle init wires your agents to that server and tells them how to use it. On a machine where an agent can't open a browser, the CLI can also sign you in from the terminal and make an API key for the agents to use instead (see Remote and headless machines).

Run it in a git repository (installed globally, the command is erkle init). It:

  1. Adds the erkle MCP server to each agent you pick (Claude Code, Cursor, Codex).
  2. Adds a short instructions block to AGENTS.md / CLAUDE.md, so agents search Erkle before a task and propose what they learned after.
  3. Prints the sign-in step for each agent and a first-run prompt that imports what the repo already knows.

init never signs in and never talks to Erkle. Each agent runs its own browser sign-in the first time it connects.

What it writes

AgentProject (default)--global
Claude Code.mcp.jsonclaude mcp add --scope user (~/.claude.json)
Cursor.cursor/mcp.json~/.cursor/mcp.json
Codex.codex/config.toml (loaded once you trust the project)~/.codex/config.toml

Project files live in the repo root, so commit them and every teammate gets the same setup.

Instructions go between and in AGENTS.md and CLAUDE.md, whichever exist. A CLAUDE.md that is a symlink to AGENTS.md, or that imports it with an @AGENTS.md line, is left alone so the block appears once. If neither file exists, init creates AGENTS.md, which Claude Code, Cursor and Codex all read. Re-running replaces only the text between the markers.

Existing files keep everything else: other MCP servers, other keys, JSON indentation, and TOML comments. If a file can't be parsed (JSON with comments, for example) init stops and writes nothing. If an erkle entry already points somewhere else, init reports it as a conflict and leaves it alone unless you pass --force; everything else in the plan is still applied.

init treats the repo as untrusted, since it may be a fresh clone. If a project file is a symlink that resolves outside the repo, init stops and writes nothing. An existing erkle entry with keys that can run code (command, env, headersHelper, ...) is a conflict too. If a file changes between the plan and the write, init stops instead of overwriting it.

Running init again when everything is set up changes nothing.

Options

--agents <list>     claude,cursor,codex (default: ask, or the detected ones)

--auth oauth (default) or key; key writes user-level config only --global write user-level config instead of the repo's --url MCP server URL (default https://erkle.ai/mcp, or $ERKLE_URL) -y, --yes apply without asking --dry-run print the plan and write nothing --force replace an existing erkle entry with a different URL or, with --auth key, its own Authorization header --no-instructions don't touch AGENTS.md / CLAUDE.md --json print one JSON document on stdout -h, --help show help -v, --version show the version

Exit codes: 0 success, nothing to do, or cancelled at the prompt; 1 error (nothing written); 2 bad usage. When stdin or stdout isn't a terminal, init won't ask, so pass --yes to apply (or --dry-run to preview); without either it exits 2.

For local development against a dev server:

ERKLE_URL=http://localhost:8080/mcp npx @erkle/cli init

Remote and headless machines

An agent's own sign-in opens a browser on the machine it runs on. On a server, over SSH, or in a container there is no browser to open, so give the agents an API key instead. These commands need an Erkle server that supports CLI sign-in.

Sign in once. erkle login prints a link and a code; open the link on any device (your laptop, your phone), enter the code, and pick the team to start on:

npx @erkle/cli login

Make a key and write it to a private env file instead of the screen:

erkle keys create --env-file ~/.erkle.env

Keys are read-only by default. --write lets agents write memories, --projects a,b limits the key to those projects (erkle projects lists them), and --expires sets its life (30 days by default, at most 365). If your team requires browser approval for keys made from the CLI, keys create prints a link to approve first.

Load the file in your shell profile (~/.zshrc, ~/.bashrc) so every agent you start has the key:

set -a; . ~/.erkle.env; set +a

Point the agents at it. --auth key writes user-level config that reads the key from ERKLE_API_KEY; the key itself is never written to a config file:

erkle init --auth key

Then check what the agents will reach:

erkle status

status shows how each agent connects, checks your sign-in, and, when ERKLE_API_KEY is set, which team and projects the key reaches and whether it can write.

The other commands: erkle whoami shows the account, teams, and session; erkle team list and erkle team use pick the team keys are made in; erkle keys list and erkle keys revoke manage keys. Run erkle --help for each command's options.

For agents

Every command is safe to run from an agent.

  • --json prints exactly one JSON document on stdout, and progress text goes to stderr. A success is {"ok": true, "schemaVersion": 1, "command": "keys create", ...}; a failure is {"ok": false, "schemaVersion": 1, "error": {"code", "message", "hint"}}, where the hint names the next command to run. Each command's --help lists its fields.
  • Error codes: usage, not_signed_in, session_expired, session_revoked, no_team, forbidden, not_found, approval_required, denied, expired, key_rejected, rate_limited, network, server, conflict, file_unsafe.
  • Exit codes: 0 success, including a pending approval; 1 error; 2 bad usage.
  • Without a terminal, nothing prompts. Commands that would ask first (init, keys revoke) or print a secret (token) need --yes instead.
  • login, and keys create when the team requires approval, wait for a person to approve in a browser. Without a terminal they wait at most 90 seconds (--timeout changes that; --no-wait returns at once), then return "status": "pending" with the link, the code, and a resume command such as erkle login --resume. Show the person the link and code, then run the resume command once they have approved.

Credentials

The CLI keeps its sign-ins in credentials.json in its config directory, the first of $ERKLE_CONFIG_DIR, $XDG_CONFIG_HOME/erkle, %APPDATA%\erkle on Windows, and ~/.config/erkle. The file is mode 0600 and holds one session per server, and the CLI only sends the session for the server it is talking to. It refuses a config directory inside a git repository. Pending approvals live next to it under pending/ until they are collected.

A session lasts 30 days and can only manage keys: it can't read or write memories. login never prints it.

ERKLE_TOKEN takes the place of the stored session, for CI. It is only sent to https://erkle.ai and to the one server named in ERKLE_TOKEN_ORIGIN, so a repo's .env that sets ERKLE_URL can't send your token somewhere else. ERKLE_API_KEY follows the same rule in status.

erkle token creates a separate session for a CI secret and prints its token; it is the only command that prints one. Signing in or out on your machine doesn't affect it.

erkle logout ends the session on the server and removes it from this machine. erkle logout --revoke-keys also revokes every key that session created. Resetting your Erkle password ends all of your CLI sessions, and the keys they created stop working.

FAQ

Does `init` need an Erkle account or API key? No. It only writes config files. Each agent opens a browser OAuth sign-in the first time it connects. Where that can't work, use an API key instead; see Remote and headless machines.

Which agents are supported? Claude Code, Cursor and Codex. claude.ai connects to the same server as a custom connector; see erkle.ai.

How is this different from `CLAUDE.md` or `AGENTS.md`? Instruction files live in one repo and change by commit. Erkle is shared across repos and tools, scoped by team, project and repo, permissioned, and reviewed. init keeps a short block in your instruction files that points agents at Erkle; see Erkle vs. AGENTS.md.

What does it cost? $5 per user per month, or $50 per user per year, after a 7-day trial with no card needed. See pricing.

Who maintains this

Erkle is built and operated by Justin Albrecht. Development happens in a private repository. This public repository is the release mirror: each release lands here as one commit made by the release automation, which is why commits show github-actions[bot], and its tag is what gets published to npm. How Erkle itself handles your data is on the security page.

Bugs

Open an issue at github.com/erkle-ai/cli. This repository receives one commit per release and doesn't take pull requests; see CONTRIBUTING. Report vulnerabilities privately, as described in [S

只显示了开头部分;其余内容请在仓库中阅读