
Conning
io.github.EranYonai由 GitHub 帳號 EranYonai 發布v0.6.5更新於 Oct 29, 2026
Run commands on your remote test machines over SSH without the agent ever seeing a secret.
概覽
本機 SSH 控制器,讓助理在不接觸金鑰的情況下列出目標、執行指令、讀取作業輸出,並在遠端測試機上複製檔案。
- 可以做什麼
- 列出已設定的 SSH 目標及其系統、shell、主機、使用者、標籤與核准模式,絕不傳回密鑰
- 在單一目標、目標清單或某個標籤上執行指令或 argv,先傳回結束碼,長工作則傳回作業 id
- 以長輪詢讀取作業輸出、分頁檢視已儲存的輸出,或讀取遠端檔案
- 在本機路徑與目標之間複製檔案,並以 sha256 驗證
- 白名單以外的指令會等待人工核准,可在助理用戶端、conn watch 或終端機中回覆
- 適用情境
- 適合需要讓助理透過 SSH 操作遠端測試機或實驗機、執行長時間工作並取回輸出,或傳輸檔案的情境,同時由你掌握憑證並核准有風險的操作。
- 執行需求
- 以 stdio 在本機執行;可用 uv tool install 或 pipx 安裝,也可用 uvx conning mcp 直接執行,或使用 Docker 映像。目標機需開放 inbound SSH;Windows 目標需要 OpenSSH 與 PowerShell 7。密鑰來自作業系統鑰匙圈、op:// 參照、env: 參照或 ssh-agent。新增與核准目標、將目標切換為 auto 模式需要人工終端機。
安裝
在 SourceWeft 中
- 開啟 儀表板中的 Conning,將其新增到工作區。
- 為需要使用其工具的對話啟用該服務。
Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。
其他 MCP 客戶端
參照 儲存庫 中的啟動說明。
README
Conning
[Handler, the Conning mascot: a friendly cartoon glove working puppet strings on three lab VMs]
A light, local SSH controller for humans and agents. Conning is one small CLI and MCP server on your own machine. It runs commands, long jobs and file copies on your test machines over plain OpenSSH. You drive it from a terminal; your agent (Claude Code, Codex, Cursor...) gets the same four commands as MCP tools, with identical output. Conning holds the keys, so the agent never sees a password, and you approve anything risky.
Status: early (0.6). Linux, macOS and Windows targets work, with long jobs, transfers, jump hosts and approvals. See docs/design.md for every decision so far.
What it is
- Light. One Python package and no daemon: the MCP server runs on stdio when your agent starts it. Four tools cost about 1k tokens a turn. Results lead with the exit code and are capped at 8 KB by default, with a handle to page the rest; fan-out to many targets collapses identical results.
- Local. It runs next to you and your agent. Targets only need inbound SSH, and nothing gets
installed on them. Secrets stay where they are (OS keychain,
op://, ssh-agent): the target file holds references, and no tool ever returns a secret. - SSH. Plain OpenSSH underneath, never your
~/.ssh/config: a generated config per target, pinned host keys, forwarding off, jump hosts. Windows targets need OpenSSH and PowerShell 7. - For humans and agents. Each target has a mode,
askorauto. Inask, read-only commands and your allow rules run, and anything else waits for you; "always allow" remembers two words, sosystemctl statusnever lets throughsystemctl stop. Only you grant trust: in the agent client's prompt, inconn watchor at your terminal.
Install
For Tab completion that reads the target (its files, commands and shell history), run
conn completion install once; it adds one line to your bash, zsh or fish rc file, and conn doctor
reminds you if it's missing. Set history = false on a target to keep its shell history out (D53).
The MCP server needs no install at all:
Or run the server in Docker
The image carries Python, the OpenSSH client and Conning, and nothing else. Targets, pinned host
keys and job output live on the /conning volume, and conn runs as that folder's owner, so files it
writes there stay yours on the host. On Docker Desktop for Mac, forward the agent with
-v /run/host-services/ssh-auth.sock:/ssh-agent instead. Two things stay on your machine (D46):
- Approving.
conn targets add,conn approve,conn allowand turning onautoneed your terminal. Install the CLI on the host and point it at the same folder:CONNING_HOME=~/.config/conning conn approve a:1. Approving in the agent client works from the container as usual. - Secrets. The OS keychain is not reachable from a container, so use
env:orop://references, or forward your ssh-agent as above and use a key.docker run --rm ... conning doctorchecks the rest.
Targets on a lab LAN or VPN need --network host (Linux) or a route the container can use.
The agent's four tools
Agents without MCP can use the same commands through the conn CLI; the output is identical.
For agents: CLI reference
This block is generated by conn help --markdown, so you don't need to call --help. A test keeps it
in sync with the code.
A target is one login on one machine. To use the same machine as another user, add it again:
conn targets add lab-tester --like lab --user tester copies the host, port, OS and tags and asks for the new
user's password. conn targets shows which user each target uses.
A target behind a bastion names it as its jump host: add the bastion as a target first, then
conn targets add lab --host 10.0.0.5 --user tester --jump gw. Every hop gets its own login and its own pinned
host key, and conn targets import keeps a ProxyJump to another host it imports. The bastion is a target the
agent can see too; in ask mode it can only run read-only commands there without you.
A target you add with conn targets add from an agent session is saved as pending. It does nothing until
the human runs conn approve <name>, which shows the host, the pinned host-key fingerprint and where
the secret comes from.
A command outside a target's allowlist returns status=pending_approval id=a:<id>, and a desktop
notification tells the human. They answer in one of three places (allow once, always allow its first
two words, or deny), and the agent picks up the result with read a:<id>:
- In the agent client: any MCP client that supports elicitation shows the question before the
command is queued, and an approved command runs in the same call. Clients without it fall back to
the two below. If a client would answer such prompts by itself instead of asking you, run the server
as
conn mcp --no-approve-in-client. - In
conn watch, which also shows every command and its output as it happens. - With
conn approve a:<id>in any terminal. When you runconn runyourself at a terminal, it just asks you there and prints the result.
read a:<id> long-polls only while a conn watch is open. With nobody watching, it returns at once
with nobody is watching: ask the user to run conn approve a:<id>, so the agent asks you instead of
waiting out its timeout for an answer no one was asked for.
Read-only commands such as uname, hostname, df, ps, ls, ip addr, systemctl status and
journalctl run without asking on every target; each is checked so its changing forms (hostname x,
ip addr add) still ask, and safe = false in a target's entry turns the list off.
conn allow <target> make test lets another command run without asking from then on; conn deny
takes it back. Every command, answer and rule change lands in a hash-chained audit log, and
conn doctor checks your setup when something doesn't work.
Safety model
- No tool returns a secret, adds a live target or changes policy.
- Secrets travel over stdin or the SSH channel's env, never argv. Output is redacted before it is saved.
- Remote output is marked untrusted. Shell wrappers (
sh -c,python -c,sudo...) and shell syntax (;,|,$(...)) always ask. conn mcp installalso denies the agent rawssh/scpandconn ssh, so it can't go around Conning (pi has no permission rules, so there it only adds the server).- The audit log is hash-chained. It runs as your user, so it is tamper-evident, not tamper-proof.
Development
The end-to-end tests drive the real conn and MCP server against a throwaway local sshd (Linux, root
to start it; CI's e2e job does this on every push):
After changing the CLI, refresh the README block with uv run conn help --markdown.
Docs
- docs/design.md: the design and every decision, with its status.
- docs/blog.html: the development blog, from the first idea to today.
- docs/manual-test.md: a ten-minute check of every feature against a throwaway target.
- docs/field-test.md: using it for real work, and how to report what gets in the way.
Why Python
Python is the easiest thing to install on a developer's machine and the language most of the AI
tooling around it is written in. uvx conning mcp runs with no prior install, pip/pipx/uv
are already there, and the MCP SDK, keychain bindings and agent clients all live in the same
ecosystem. Go or Rust would give a single binary, but Conning drives the real OpenSSH binary and
mostly waits on the network, so their speed buys little here.
License
來源:README.md,提交 f9da2d0
工具
0版本歷史
5- v0.6.5最新Oct 29, 2026
- v0.6.4Oct 20, 2026
- v0.6.3Oct 19, 2026
- v0.6.2Oct 17, 2026
- v0.6.0Oct 17, 2026
評分
已滿足適用檢查項的 50%
該評分衡量此收錄條目的完整程度,依據註冊中心條目、端點與公開來源計算得出。它不是對伺服器本身的評價,也不表示伺服器安全或目前可用:可連通性是帶日期的檢查結果,評分也不包含安裝量或使用者評價。
- 近 30 天內可連通25 分
請保持端點能夠回應 MCP 握手;SourceWeft 每 30 天探測一次。
- 已宣告認證方式10 分
請在註冊中心條目中宣告憑證請求標頭,或保持端點能夠回應探測,以便判定其認證方式。
- 已列出工具15 分
請讓伺服器在無憑證時回應 tools/list,或發布可在沙箱中無憑證啟動的軟體包。
- 描述必需15 分
- 圖示10 分
- 文件15 分
- 授權條款10 分