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。
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Agent Tasks

作者:keshrath版本 2.1.0i★ –i在你的电脑上运行
注册名称io.github.keshrath/agent-tasks

安装

概览

作者提供的说明(英文原文)

Pipeline task management for AI agents - stages, dependencies, artifacts, claiming

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: 文档、表格与办公

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

  • npm已安装 Node.js(用于 npx 命令)

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": {
    "agent-tasks": {
      "command": "npx",
      "args": [
        "-y",
        "agent-tasks"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add agent-tasks -- npx -y agent-tasks

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": {
    "agent-tasks": {
      "command": "npx",
      "args": [
        "-y",
        "agent-tasks"
      ]
    }
  }
}

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": {
    "agent-tasks": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agent-tasks"
      ]
    }
  }
}

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7日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 keshrath 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“文档、表格与办公”中的其他服务器比较i

  • 星标数多于此分类中其他 2188 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2188 个服务器的 70% 更新
  • 基础检查结果等于或优于此分类中其他 2188 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

Agent Tasks 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(2.1.0)于14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 Node.js。

有什么可以替代它?

同一分类中有:Agent-Native Calendar, Excel MCP Server, MCP Server for Excel

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

Agent-Native Calendar

作者:BuilderIO

Agent-Native Google Calendar - manage events, sync, and public booking

在云端运行★ 7,620MIT2个月前更新
安装

Excel MCP Server

作者:haris-musa

Create and edit Excel files with AI: charts, PivotTables, formulas. No Excel needed.

在你的电脑上运行★ 4,276MIT6天前更新
安装

MCP Server for Excel

作者:sbroenne

Excel automation for AI - Sheets, Power Query, DAX, VBA, Tables, Ranges and more. Windows only.

在你的电脑上运行★ 847MIT3天前更新
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。

agent-tasks

Pipeline-driven task management for AI coding agents. An MCP server with stage-gated pipelines, multi-agent collaboration, and a native Claude Code /pipeline pane. Tasks flow through configurable stages — backlog, spec, plan, implement, test, review, done — with dependency tracking, stage gates, artifact versioning, and threaded comments.

Built for AI coding agents (Claude Code, Codex CLI, Gemini CLI, Aider) but works equally well with any MCP client or REST consumer.

The user manual shows every view and action of the pane, with screenshots and short clips from the real CLI.

2.0 replaced the web dashboard with the /pipeline pane inside Claude Code; there is no browser UI, WebSocket or agent-desk plugin any more.

From 1.x
  • The dashboard on http://localhost:3422 is gone: open the board with /pipeline in Claude Code (install the plugin, below). The agent-desk Tasks tab is gone with it.
  • REST: GET /api/overview and PUT /api/tasks/:id/stage are gone (use GET /api/board and POST /api/tasks/:id/stage with {"action": "advance"}), and so are the routes nothing called; see the REST API.
  • A 1.x process still holding port 3422 is named by the pane (An older agent-tasks (1.10.13) holds the port) and in the status line (old server 1.10.13 on the port): end the Claude Code sessions still running it (or kill the old agent-tasks process) so a 2.x process takes the port, then Refresh.

Why agent-tasks?

When you run multiple AI agents on the same codebase, they need a shared task pipeline — not just a flat todo list. They need stages, dependencies, stage gates, and visibility.


Features

  • Pipeline stages — configurable per project: backlog > spec > plan > implement > test > review > done
  • Task dependencies — DAG with automatic cycle detection; blocks advancement until resolved
  • Multi-agent claiming — claim, assign, send back to an earlier stage with a reason
  • Subtask hierarchies — parent/child task trees with progress tracking
  • Threaded comments — async discussions between agents on any task
  • Artifact versioning — per-stage document attachments with automatic versioning
  • Full-text search — FTS5 search across task titles and descriptions
  • Claude Code `/pipeline` pane — the board beside the conversation, keyboard-first: tasks by stage, task detail with artifacts and comments, advance, send back, complete, fail, cancel, comment and delete, a status line entry
  • 2 transport layers — MCP (stdio) and a loopback REST API (HTTP) that the pane reads
  • TodoWrite bridge — intercepts Claude Code's built-in TodoWrite and syncs to the pipeline
  • Stage gates — configurable per-project gates with per-stage rules: require named artifacts, minimum artifact counts or a comment before advancing (the schema also has require_approval, but no MCP tool or REST route records an approval, so a stage with it set cannot be left; keep it off)
  • Decisions log — structured decision artifacts (chose X over Y because Z) via task_artifact(type: "decision")
  • Learnings propagation — task_artifact(type: "learning") captures insights (technique, pitfall, decision, pattern); auto-propagated to parent and sibling tasks on completion
  • Agent affinity — task_list(next: true) prefers routing tasks to agents with related history (parent, dependency, project) as a tie-breaker
  • Heartbeat-based cleanup — auto-fails tasks from dead agents using agent-comm heartbeat data
  • Task cleanup hooks — auto-fails orphaned tasks on session stop and cleans up stale tasks on session start
  • Agent bridge — notifies connected agents on task events (claim, advance, comment)
  • Knowledge bridge — auto-pushes learning and decision artifacts to agent-knowledge on task completion, with embedding indexing and auto-linking

Quick Start

Install from npm
npm install -g agent-tasks
Or clone from source
git clone https://github.com/keshrath/agent-tasks.git

cd agent-tasks npm install npm run build

Option 1: MCP server (for AI agents)

Add to your MCP client config (Claude Code, Cline, etc.):

{

"mcpServers": { "agent-tasks": { "command": "npx", "args": ["agent-tasks"] } } }

The first MCP process to start also serves the REST API on http://localhost:3422; the others retry every 5 s and take over when it exits.

Option 2: Claude Code plugin (MCP server + /pipeline pane)
claude plugin marketplace add keshrath/agent-tasks

claude plugin install agent-tasks@agent-tasks

The plugin runs the MCP server and adds a Claude Code mod (function hooks, Claude Code 2.1.289+): /pipeline opens the board beside the conversation. The tutorial walks through it. Remove any hand-written agent-tasks entry from ~/.claude.json so tools do not appear twice.

Option 3: Standalone REST server
node dist/server.js --port 3422

Claude Code Integration

Once configured (see Quick Start above), Claude Code can use all 8 MCP tools directly — creating tasks, advancing stages, adding artifacts, commenting, and more. With the plugin installed, /pipeline opens the board in a pane beside the conversation (Claude Code 2.1.289+). See the Setup Guide for detailed integration steps.


MCP Tools (8)

CategoryTools
Task CRUD (4)task_create, task_get (include subtasks/artifacts/comments/transitive_deps), task_list (search, next), task_delete
Metadata (1)task_update (title, description, priority, tags, project, assignment, dependencies)
Lifecycle (1)task_stage (claim, assign, advance, regress, complete, fail, cancel)
Artifacts (1)task_artifact (general, decision, learning, comment)
Config & utils (1)task_config (pipeline, session, cleanup, rules)

See full API reference for detailed descriptions of every tool and endpoint.

REST API (8 endpoints)

All endpoints return JSON. Loopback only: a foreign Host gets 403, so does any request carrying an Origin header (no browser calls this API), and request bodies must be application/json. Everything else goes through the MCP tools. See full API reference for details.

GET    /health                        Health check with version + uptime

GET /api/tasks/:id One task, as task_get (?include=subtasks,comments,transitive_deps) GET /api/pipeline Pipeline stage configuration GET /api/board Open and recently closed tasks (what the pane polls)

POST /api/tasks Create a task POST /api/tasks/:id/stage Lifecycle action (claim, assign, advance, regress, complete, fail, cancel) POST /api/tasks/:id/comments Add a comment DELETE /api/tasks/:id Delete a task


Testing

npm test              # vitest: 472 tests across 25 files

npm run test:watch # Watch mode npm run test:coverage # Coverage report npm run check # Full CI: typecheck + lint + format + test npm run plugin:check # the /pipeline pane: claude plugin validate + its tests (needs the claude CLI) npm run e2e:claude # the pane in the real Claude Code CLI (see CONTRIBUTING.md)


Environment variables

VariableDefaultDescription
AGENT_TASKS_DB~/.agent-tasks/agent-tasks.dbSQLite database file path
AGENT_TASKS_PORT3422REST API port (the /pipeline pane reads it)
AGENT_TASKS_HOST127.0.0.1REST bind address (0.0.0.0 exposes it to the network)
AGENT_TASKS_USERthe OS userWho the /pipeline pane acts as (created_by, comment author, by)
AGENT_TASKS_INSTRUCTIONSenabledSet to 0 to disable response-embedded instructions
AGENT_TASKS_RETENTION_DAYS30Days the cleanup keeps resolved approval records
AGENT_TASKS_COMPLETED_RETENTION_DAYS7Days a completed task is kept (and listed under the pane's Done) before purge
AGENT_TASKS_FAILED_RETENTION_DAYS7Days a failed task is kept before purge
AGENT_TASKS_CANCELLED_RETENTION_DAYS1Days a cancelled task is kept before purge
AGENT_TASKS_ORPHAN_TIMEOUT_MINUTES360Minutes before an in-progress task with no assignee is cancelled
AGENT_TASKS_COMM_TIMEOUT_MS5000Timeout of the cleanup's agent-comm requests
AGENT_TASKS_DEAD_SESSION_GRACE_MINUTES60task-cleanup-start.js: idle minutes before a dead session's task is failed
AGENT_TASKS_HEARTBEAT_FRESH_MINUTES15task-cleanup-start.js: an agent with a heartbeat this recent counts as alive
AGENT_COMM_URLhttp://localhost:3421Agent-comm REST URL for bridge notifications
AGENT_KNOWLEDGE_URLhttp://localhost:3423Agent-knowledge REST URL for knowledge bridge

Dependencies

Required: Node.js >= 20.11, better-sqlite3 (bundled)

Optional (soft dependencies — fail-open, HTTP-only, no npm dep):

  • agent-comm — Heartbeat-based task cleanup and event notifications. agent-comm tracks heartbeats → agent-tasks checks heartbeats → auto-fails tasks from dead agents. Also sends direct messages on claim/advance and posts to a channel on comments. Without agent-comm, stale agent detection and notifications are skipped gracefully.
  • agent-knowledge — Knowledge persistence for task learnings and decisions. On task completi

只显示了开头部分;其余内容请在仓库中阅读

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