Atono

io.atono由 atono.io 發布v1.1.1更新於 Oct 24, 2026

Give your AI coding tools your team's product context: stories, bugs, epics, and glossary.

概覽

AI 產生的概覽

將 AI 程式開發工具連接到 Atono 工作區,讓助理讀寫故事、缺陷、史詩、子任務與產品脈絡。

可以做什麼
提供 41 個工具,用於讀取和寫入 Atono 工作項目:故事、缺陷、史詩、子任務、驗收標準、附件、時間盒與連結項目。它也會暴露工作區設定資料,例如使用者、團隊、工作流程與產品概念詞彙表,以及每個項目的 AI 脈絡。助理可以建立和更新項目、指派負責人、推進工作流程步驟並記錄缺陷修正。
適用情境
當助理在撰寫程式或審查時需要團隊的產品脈絡,使其依據真實的故事、缺陷與史詩工作而非憑空猜測時使用。適合已在使用 Atono、希望代理直接讀取和更新工作項目的團隊。
執行需求
本機執行 Docker Desktop v27.0 或更新版本、支援 MCP 的用戶端,以及透過 X_API_KEY 環境變數提供的 Atono API 金鑰。此伺服器以本機 Docker 容器透過 stdio 執行。需要 Atono 工作區;金鑰只能存取該工作區。
安裝前請注意
API 金鑰 X_API_KEY 屬於憑證,應像密碼一樣對待,切勿提交到版本庫。許多工具會寫入工作區,且部分更新是取代而非附加:atono_update_story_ac、atono_update_epic_user_stories、atono_update_epic_description 與 atono_update_story_additional_content 會覆寫現有內容,請先讀取。在免費方案中,詞彙表與 AI 脈絡為 30 天試用,之後可能傳回空內容。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 Atono,將其新增到工作區。
  2. 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

Atono MCP Server

Give your AI coding tools your team's product context.

Your AI tools are fast, confident, and guessing at how your product actually works. They can only act on the context they can reach — so they produce work that looks right, passes review, ships, and fails weeks later.

The Atono MCP server connects Claude Code, Claude Desktop, Cursor, VS Code, Copilot, Windsurf, and Codex directly to an Atono workspace. 41 tools for reading and writing stories, bugs, epics, subtasks, acceptance criteria, and timeboxes — plus the two things that actually change output quality: your workspace glossary of product concepts, and per-item AI context (design decisions, investigations, summaries).

Agents stop relearning your domain on every session.

Quick start

Prerequisites

  1. Docker Desktop v27.0 or later, running in the background
  2. An Atono API key — workspace settings → Manage API keys
  3. An MCP-enabled tool

Claude Code

shell
claude mcp add --transport stdio atono \  --env X_API_KEY=YOUR_ATONO_API_KEY \  -- docker run --pull=always -i --rm -e X_API_KEY atonoai/atono-mcp-server:latest

Run /mcp to confirm Atono appears.

Claude Desktop

claude_desktop_config.json:

json
{  "mcpServers": {    "atono": {      "command": "docker",      "args": [        "run", "--pull=always", "-i", "--rm",        "-e", "X_API_KEY=YOUR_ATONO_API_KEY",        "atonoai/atono-mcp-server:latest"      ]    }  }}

Cursor

One-step install via the Cursor MCP directory, or add to mcp.json:

json
{  "mcpServers": {    "atono-mcp-server": {      "command": "docker",      "args": [        "run", "--pull=always", "-i", "--rm",        "-e", "X_API_KEY=YOUR_ATONO_API_KEY",        "atonoai/atono-mcp-server:latest"      ]    }  }}

VS Code (GitHub Copilot)

Copilot Chat → Configure Tools → Add MCP Server → Docker Image → atonoai/atono-mcp-server:latest, then use the same JSON in .vscode/mcp.json and restart the server.

Windsurf

Same JSON as Cursor, in mcp_config.json. Restart Windsurf.

OpenAI Codex

~/.codex/config.toml:

toml
[mcp_servers.atono]command = "docker"args = ["run", "--pull=always", "-i", "--rm", "-e", "X_API_KEY", "atonoai/atono-mcp-server:latest"]
[mcp_servers.atono.env]X_API_KEY = "YOUR_ATONO_API_KEY"

Verify: ask your assistant "What Atono MCP tools are available?"

Updates: none required. --pull=always fetches the latest image on restart.

The 41 tools

Setup & context (5) atono_configuration · atono_list_users · atono_list_teams · atono_get_team_workflow · atono_get_glossary

Stories (10) atono_get_story · atono_list_story_personas · atono_create_story · atono_update_story_title · atono_update_story_content · atono_update_story_ac · atono_update_story_additional_content · atono_update_story_team · atono_update_story_step · atono_update_story_assignee

Bugs (7) atono_list_environments · atono_get_bug · atono_create_bug · atono_update_bug · atono_update_bug_step · atono_update_bug_assignee · atono_document_bug_fix

Epics (7) atono_create_epic · atono_get_epic · atono_update_epic_title · atono_update_epic_description · atono_update_epic_user_stories · atono_add_story_to_epic · atono_remove_story_from_epic

Subtasks (4) atono_get_subtasks · atono_create_subtask · atono_update_subtask · atono_delete_subtask

Attachments (3) atono_upload_file_url · atono_create_attachment · atono_get_attachment

Timeboxes (2) atono_list_timeboxes · atono_list_timebox_items

Linked items (1) atono_link_bugs_or_stories

AI context (2) atono_get_ai_context · atono_update_ai_context

Full reference: docs.atono.io/docs/atono-mcp-tools

Agent cautions

  • Always call atono_get_ai_context before atono_update_ai_context.
  • Some writes replace rather than append. atono_update_story_ac and atono_update_epic_user_stories replace all criteria/statements. Same for atono_update_epic_description and atono_update_story_additional_content. Read first.
  • The server reaches only the workspace the API key authenticates to. It exposes defined Atono actions and nothing else.
  • Treat API keys as passwords. Never commit them.
  • Agent actions are attributed and auditable — MCP-performed changes show "Performed by MCP server" in Activities, and the human driver stays the attributed author.

Plans

The MCP server works on every Atono plan, including Free (up to 25 users).

One thing worth knowing up front: Glossary and AI Context are a 30-day trial on the Free plan. Connect an agent to a Free workspace past its trial and you'll find the tools present but the context they fetch empty. That's a licensing state, not a bug — it's the most common surprise, so we'd rather say it here.

FreeStarterGrowth
MCP server & all 41 tools✓✓✓
Product Knowledge (Glossary + AI Context)30-day trial✓✓
Price$0, up to 25 users$19/user/mo$39/user/mo

atono.io/pricing

About Atono

Atono is the product engineering platform that keeps product context connected to the work, so your team and its AI agents build what you actually intend — not just what looks right.

A story in Atono carries its acceptance criteria, the feature flag controlling its rollout, the usage data proving whether it worked, and the AI context agents read — in one object. In a conventional stack those four live in four products, and the context is destroyed at every seam.

atono.io · docs · MCP server docs

來源:Readme.md,提交 a9fee13

工具

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版本歷史

1
  1. v1.1.1最新Sep 16, 2026

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