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

Ennodia

作者:cherninlab版本 0.4.1i★ –i在你的电脑上运行
注册名称io.github.cherninlab/ennodia

安装

概览

作者提供的说明(英文原文)

Connects the AI agents you use: your agent hands a task to another and gets the answer back

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

在终端中运行这条命令

claude mcp add ennodia -- npx -y ennodia

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

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

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 cherninlab 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 2192 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 2192 个服务器的 45% 更新
  • 基础检查结果等于或优于此分类中其他 2192 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

Ennodia 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(0.4.1)于39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。

Ennodia isn't another agent. It connects the agents you use.

Stay in Codex, Claude Code, or any agent you like. When a task needs another model, your agent hands that part over through Ennodia and brings the answer back. Ennodia runs on your computer, and each agent uses your own account.

Have Gemini listen to meeting.mp3 through Ennodia and tell me what was decided.

Why use it

  • Keep the app you like. Ennodia has no window of its own. You work in your agent as before, and it can now reach the others.
  • Your agents work together. Any agent can hand part of a task to any other and get the answer back in your chat.
  • Nothing to pay, nothing to join. Ennodia is free and open source, with no account. It uses the agents and plans you have.
  • It grows with your agents. It is a set of tools, not a framework or a method. Each new model one agent gains becomes an ability for all of them.
  • It stays on your computer. Every handoff leaves a receipt there: who did the work, how long it took, and what came back.
  • Less to keep up with. You don't need to follow every new model. Name the task, and your agent hands it to one that can do it.

Next on the roadmap: Ennodia reads its receipts, so your agent stops repeating what failed.

What each agent adds

No model leads every task, so each agent you connect brings an ability the others lack.

  • Listen. Gemini hears audio files. Codex hands it the file path and gets back what Gemini heard.
  • Draw. Codex draws with GPT Image. Claude Code can hand it a brief and get the images back.
  • Review. Two other agents review the same patch in fresh sessions. Compare maps where they agree and differ.
  • Read. Kimi K3 in OpenCode reads long documents. Your agent hands it a spec and gets back the rules, each with its line number.

When your own agent has the ability, it does the task itself, with no handoff. See each route and the public scores behind each strength.

Install

Send this address to your agent:

try-ennodia.cherninlab.com

For manual setup, add this Model Context Protocol (MCP) server to your client:

{

"mcpServers": { "ennodia": { "command": "npx", "args": ["-y", "ennodia"] } } }

Ennodia loads six core tools by default: about 10,000 characters of tool definitions in each session. Add "--tools", "all" to args for the full tool set.

Requirements: Bun 1.3.14 or newer, a compatible MCP client, and a supported agent with working provider access. npx downloads Ennodia. Bun runs it. You can also use bunx ennodia.

Get your first result · Installation for agents

How a handoff works

  1. Your agent calls ennodia_run with the task, the agent or model to use, and a time limit.
  2. Ennodia starts that agent's own command-line tool in a fresh session, with its own tools and your account for it.
  3. The answer comes back to your conversation, with its status and a receipt saved on your computer.

Your conversation history stays in your agent. For two or more answers, Compare maps agreements, contradictions, and gaps. When one answer is complete as it stands, Compare can choose it, and ennodia_run returns it unchanged.

Supported agents

Codex CLI, Claude Code, OpenCode, Kilo Code, Kiro CLI, Cline, Hermes Agent, and Antigravity. Model availability and tool permissions depend on the installed agent and its provider configuration. Discovery finds executable commands. It does not verify authentication or model access. Codex workers use a read-only sandbox by default.

Ennodia discovers native Agent Skills and can request them for specific tasks. A separate task keeps the trial outside the main conversation. Native agents can also select unrequested skills from their own environment.

Recipes · Using skills · Understand results

Evidence

  • Can Gemini hear this file?: a Codex conversation hands an audio file to Gemini through Antigravity.
  • Measurement plan: how Ennodia compares single agents with teams on public benchmarks.
  • Audio routing pilot: Codex got 10 of 10 speech questions right through Gemini, and 4 of 10 alone. Across all 30 clips the gain was not significant, and each answer took about twice as long.

Data and limits

Ennodia runs locally without an Ennodia-hosted service. Selected agents can send material to their configured model providers. Terminal run history is stored locally and can be disabled with ENNODIA_HISTORY=0.

Each handoff costs time and uses your agents' own quotas and charges. General time or token savings have not been established. Ennodia can limit child tasks and estimated input tokens. Those estimates exclude internal harness work and are not provider bills.

Data governance · Budgets · Roadmap

Technical reference and contribution

The main entry point is ennodia_run. The full tool set adds raw tasks, separate Compare calls, budget estimates, and the Plan Advisor, which proposes explicit tasks before execution.

MCP tools · Experimental Ennodia IO · Contributing · MIT license

bun install

bun run verify

Experimental Pragmatic mode

Pragmatic mode runs independent model attempts, tailored plans, and skill trials, then compares the evidence. It keeps bulky evidence outside the main conversation and returns findings for your agent to verify. Savings are not yet validated.

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