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。
PopNx MCP为使用 AI 的人准备的 MCP 服务器 · 用大白话讲清楚

AgenticSystemCore

作者:andreibesleaga版本 1.0.1i★ 2i在你的电脑上运行
注册名称io.github.andreibesleaga/agentic-system-core

安装方法

概览

作者提供的说明(英文原文)

Read, cite, compose and remember over a Markdown knowledge Bundle, as MCP tools over stdio.

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。

通过 3/3 项检查 · 在你的电脑上运行

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,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  3. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "agentic-system-core": {
          "command": "npx",
          "args": [
            "-y",
            "agentic-system-core",
            "mcp"
          ]
        }
      }
    }
  4. 退出 Claude 再重新打开

  5. 试一试

    用 AgenticSystemCore 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 AgenticSystemCore,或回答中出现 AgenticSystemCore 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

ChatGPT 暂时无法连接 AgenticSystemCore

AgenticSystemCore 需要安装在你的电脑上,而 ChatGPT 只能连接在网上运行的服务器

你可以改用这些方式

A · 使用能连接 AgenticSystemCore 的应用

  • 需要先在电脑上安装 Node.js(只需一次) · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 需要先在电脑上安装 Node.js(只需一次)
  • 需要先在电脑上安装 Node.js(只需一次) · 没有一键按钮,需要粘贴设置并自行填写
  • 需要先在电脑上安装 Node.js(只需一次) · 没有一键按钮,需要粘贴设置并自行填写

B · 文档、表格与办公 类中能连接 ChatGPT 的其他服务器

从同类中使用较多的里挑选,仅限用地址即可连接、无需密钥的

可连接 Claude Code,但需要先准备

需要先在电脑上安装 Node.js(只需一次)

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开终端

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

  3. 粘贴这条命令并按 Enter

    claude mcp add agentic-system-core -- npx -y agentic-system-core mcp
  4. 在 Claude Code 中输入 /mcp

    应能看到 AgenticSystemCore 在列表中并显示已连接

  5. 试一试

    用 AgenticSystemCore 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 AgenticSystemCore,或回答中出现 AgenticSystemCore 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,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 没有一键按钮,需要粘贴设置并自行填写

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开 Cursor 的 MCP 设置文件

    ~/.cursor/mcp.json

    粘贴这些设置,填写空着的值并保存

    {
      "mcpServers": {
        "agentic-system-core": {
          "command": "npx",
          "args": [
            "-y",
            "agentic-system-core",
            "mcp"
          ]
        }
      }
    }
  3. 在 Cursor 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 AgenticSystemCore 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 AgenticSystemCore,或回答中出现 AgenticSystemCore 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,但需要先准备

需要先在电脑上安装 Node.js(只需一次) · 没有一键按钮,需要粘贴设置并自行填写

  1. 安装 Node.js

    只需一次,所有需要 Node.js 的服务器都能用

    打开 Node.js 下载页 ↗

  2. 打开 VS Code 的 MCP 设置文件

    MCP: Open User Configuration

    粘贴这些设置,填写空着的值并保存

    {
      "servers": {
        "agentic-system-core": {
          "type": "stdio",
          "command": "npx",
          "args": [
            "-y",
            "agentic-system-core",
            "mcp"
          ]
        }
      }
    }
  3. 在 VS Code 中以 Agent 模式打开 AI 聊天

  4. 试一试

    用 AgenticSystemCore 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 AgenticSystemCore,或回答中出现 AgenticSystemCore 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 →

JSON 设置在下方“开发者专用”中

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

安装在电脑上

Claude Code

claude mcp add agentic-system-core -- npx -y agentic-system-core mcp

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "agentic-system-core": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-system-core",
        "mcp"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "agentic-system-core": {
      "command": "npx",
      "args": [
        "-y",
        "agentic-system-core",
        "mcp"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "agentic-system-core": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "agentic-system-core",
        "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
65/周
许可证i
Apache-2.0
连接方式
在你的电脑上运行
最新版本i
1.0.1
发布到注册中心i
2026年10月21日
代码最后更新i
2026年11月11日
作者
andreibesleaga
软件包
npm: agentic-system-core
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。

在你的电脑上运行,适用于

ClaudeGooseLM StudioMsty StudioCherry StudioCursorVS Code + GitHub CopilotVisual StudioWindsurf (Devin Desktop)ZedKiroClineContinueJetBrains AI AssistantClaude CodeCodex CLIGemini CLIOpenCodenodecodeWarpLibreChatRaycast

全部应用及其优缺点 →

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12日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 andreibesleaga 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于今天

  • ✓ 通过

    有许可证

    使用 Apache-2.0

  • – 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

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。

使用 Google 登录后发帖

用户评价

还没有评价

用 Google 登录后写评价

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 3776 个服务器的 86%
  • 发布到注册中心的时间比此分类中其他 3776 个服务器的 59% 更新
  • 基础检查结果等于或优于此分类中其他 3776 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

AgenticSystemCore 安全吗?

它在 3 项适用的基础检查中通过了 3 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 仓库最后更新于今天,最新版本(1.0.1)于21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:Puter MCP, XcodeBuildMCP, XcodeBuildMCP

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

Puter MCP

Puter MCP enables AI tools to interact with Puter: manage files, websites, workers, and more

作者:HeyPuter广泛使用★ 4.4万5个月前更新

在云端运行✓ puter.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:getsentry广泛使用↓ 13万/周★ 65634个月前更新

在你的电脑上运行✓ xcodebuildmcp.com

XcodeBuildMCP

XcodeBuildMCP provides tools for Xcode project management, simulator management, and app utilities.

作者:cameroncooke广泛使用↓ 13万/周★ 656214个月前更新

在你的电脑上运行

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。

Agentic System Core

A specification for publishing machine-discoverable knowledge bundles — the Agentic Knowledge Web.

What this repository holds is the specification itself — numbered normative rules, three JSON Schemas, an OWL 2 RL ontology and a suite of conformance test vectors — together with the reference engine that implements it, its command line agsc, and the nine independent checkers of AGSC-09-90 — seven validators and two generators — that anyone can run against any distribution of the format (the repository also holds the maintainer's own tools, which do not ship).

Status

Released. This tree states specification 1.0.0. spec/00-overview.md is authoritative, and it is the file to read rather than this line. The packages — agentic-system-core and its short alias agsc-cli on npm, and agentic-system-core on PyPI — carry version 1.0.1 (see "Versions" below) and are published from the package tag; the name-reservation placeholders that preceded them shipped no runtime and are marked deprecated on npm and yanked on PyPI. Install with npm install agentic-system-core, or pip install agentic-system-core (the Python checkers and reading API; the other verbs still run on the Node engine). The reference engine claims Level 3 (its claim).

Versions. Two numbers, stated apart. The *specification version* (spec_version, declared in spec/00-overview.md) names the rules, schemas, vocabulary and conformance vectors; a Bundle declares it in agsc.config.json. The *package version* (package.json, agentic-system-core and agsc-cli on npm, agentic-system-core on PyPI) names the implementation; it moves alone for a patch that changes no rule and no emitted byte — a dependency fix, a defect in a check — and a package-only release carries the package tag v and no specification tag. agsc --version prints the package version; the conformance claim names both ("agentic-system-core 1.0.1 conforms to AgenticSystemCore 1.0.0, Level 3"); the change log says for every release whether the specification moved.

The specification's own site is AgenticSystemCore.com.

In three sentences

A Bundle is a folder of Markdown files with a small block of typed fields at the top of each; the specification says how that folder becomes a knowledge node — a static website plus a graph, a search index, text files for agents and a discovery document — with the same bytes from any implementation. People and agents read a node through ordinary web addresses, change it only by proposals that a person ratifies, and compose its items into a starting harness — files an architect or an agent runtime starts from. Nodes find and cite each other with no server in between.

What is different about it

To the author's knowledge, no other system combines discovery through already-registered web mechanisms with an integrity digest on every artefact link of its discovery document, a typed graph with a published ontology, machine artefacts whose bytes are fixed by expected-byte conformance vectors, governance in which every change — human or agent — arrives as a proposal carrying its provenance and a person ratifies it (directly, or by a standing rule a person recorded in the node's configuration), and composition of the same files into a starting harness, with no server required at any point.

This is a claim about the specification's text and its vectors, not a performance claim. Other systems have some of these properties; the dated comparison is in docs/RELATED-WORK.md.

PropertyWhat it meansWhere it is stated and proved
Discovery through registered mechanismsone link set at a well-known address, found through the registered relation describedbyAGSC-06-07, AGSC-06-25; tools/validate-wellknown
A digest on every artefact linkat Level 2, each link of the discovery document to a file the node builds (the graph files, llms.txt, NOW, the skills and boards indexes, the ledger, the vocabulary files) carries the SHA-256 of that file; links to surfaces, the licence page, peers and contribution targets carry noneAGSC-06-08; the discovery vectors
A typed graph with an ontologyfourteen typed links, four RDF views, a published OWL 2 RL vocabularyspec/05-graph.md, ontology/agsc.ttl
Bytes fixed by vectorstwo implementations given one Bundle emit the same machine filesAGSC-04-24; tests/vectors/
Governance with provenanceevery change is a proposal with its provenance; a person ratifies; a ledger is derived from the historyspec/08-governance.md (AGSC-08-08, AGSC-08-20)
Composition into a harnessselected items close over their links and become seven kinds of file an architect or an agent runtime can start fromAGSC-07-12; agsc compose
No servera file format and static files; no protocol, server, database or reasoner is definedAGSC-00-02

Beside that combination, and each available elsewhere on its own: six modes of use (docs/plain/modes.md); seven tools on every item page and on `/compose/` for a browser's own agent, identical to the local tool server (AGSC-09-16); eight plugin kinds with a forward-compatibility promise (docs/PLUGINS.md, AGSC-00-24); a content version stamped on every surface (AGSC-04-25); and federation walked by the client, never by a node (AGSC-11-06).

What it is best for

For agents

  • Memory for one agent. agsc mcp in a Bundle gives an assistant seven tools to search, read, follow links and cite items by address; nothing leaves the machine (Mode 1, use case L1).
  • Shared memory for many agents. Every agent reads the same published files and writes only by proposals a person ratifies (Mode 1, docs/CONNECTORS.md).
  • A source of skills. Each cluster becomes one skill pack holding its published items — the procedures are the part an agent follows — with a lockfile of their digests, installable into agent tool folders; skills from other repositories come in as procedures (Mode 3, use case L4).
  • A starting harness. A selection of items becomes a harness — seven kinds of file an architect or a runtime can start from; it is not a running system, and no rendering for a particular runtime ships at 1.0 (Mode 4, use case M5).
  • A live board for a team of agents. Agents claim and finish tasks on shared boards until they are done; decisions stay with people (Mode 5, use case M1).
  • Knowledge across nodes. A client reads several nodes' graph dumps and joins them locally, every foreign result marked with its origin; at 1.0 the walk is a library function of the engine, not a command (Mode 1, use case D4).

For people

  • A wiki that corrects itself. Markdown in, a checked and linked site out, with every change reviewed (Mode 0, use case L5).
  • A project's living specifications. Decisions, specifications, tasks and gates as one governed memory, and steering files that keep a coding agent on course (Mode 2, use case L3).
  • A library of patterns. Concepts with sources and provenance, readable without JavaScript, composable into a starting architecture (Mode 4, docs/USE-CASES.md).
  • A team board. A board from GitHub, GitLab, Jira, Trello, Linear, Asana, Notion, Obsidian, Todo.txt or plain Markdown becomes a live board and goes back again (Mode 5, use case M7).

Quick start

From a clone of this repository (Node 22.13 or later):

npm ci                                   # the exact pinned libraries

npm test # the whole suite, offline REPO=$PWD; cp -r tests/fixtures/minimal /tmp/agsc-try && cd /tmp/agsc-try SOURCE_DATE_EPOCH=1767225600 node "$REPO/bin/agsc.js" ci # lint, build twice, compare, verify: "ci: pass"

On a folder of your own Markdown notes (Node 22.13 or later, git, a POSIX shell):

npm install agentic-system-core                          # in a working folder

export PATH="$PWD/node_modules/.bin:$PATH" # puts agsc on the PATH cd my-notes && agsc init # each note gets a header and moves to content/concepts/ mkdir -p .well-known && printf 'Contact: mailto:you@example.org\n' > .well-known/security.txt git init -q && git add -A && git commit -q -m 'my notes' # the build takes its instant from this commit agsc ci # ci: pass (warnings are advice, errors stop) agsc build # the site, the graph and the agent files in www/

Without the security contact ci stops with AGSC-E901; without a commit (or SOURCE_DATE_EPOCH) it stops with AGSC-E204. The Mode 0 guide walks through this with the lines each command prints, and five more guides do the same for the other modes. To connect an assistant, read docs/USING-WITH-ASSISTANTS.md. To teach a coding agent the engine itself, install the agent skill in [skills/agentic-system-core/](https://github.com/andreibesleaga/agentic-system-core/blob/main/sk

只显示了开头部分;其余内容请在仓库中阅读