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

Celmis

作者:Celmis-labs版本 0.1.30i★ –i在你的电脑上运行
注册名称io.github.constantinemakoid/celmis

安装

概览

作者提供的说明(英文原文)

Self-hosted code intelligence: cross-repo Q&A, dependency audits and PR review, over MCP

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: Streamable HTTP
  • 分类: 其他

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 0 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

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": {
    "celmis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/celmis-labs/celmis-api:v0.1.30"
      ]
    }
  }
}

在终端中运行这条命令

claude mcp add celmis -- docker run -i --rm ghcr.io/celmis-labs/celmis-api:v0.1.30

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": {
    "celmis": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/celmis-labs/celmis-api:v0.1.30"
      ]
    }
  }
}

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": {
    "celmis": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "ghcr.io/celmis-labs/celmis-api:v0.1.30"
      ]
    }
  }
}

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

  • ! 注意

    作者与仓库一致

    发布者(constantinemakoid)不是仓库所有者(Celmis-labs);可能是其他人代为上架的

  • … 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“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 32680 个服务器的 0%
  • 发布到注册中心的时间比此分类中其他 32680 个服务器的 42% 更新
  • 基础检查结果等于或优于此分类中其他 32680 个服务器的 29%

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

Celmis 安全吗?

它在 1 项适用的基础检查中通过了 0 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(0.1.30)于2个月前进入注册中心。

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 Docker。

有什么可以替代它?

同一分类中有:Spec Driven Development, Remote Desktop Commander, EmbeddedCI BenchPod

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

Spec Driven Development

作者:formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

在你的电脑上运行★ 440MIT14个月前更新
安装

Remote Desktop Commander

作者:desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

在云端运行★ 211前天更新
安装

EmbeddedCI BenchPod

作者:embeddedci-com

Drive a BenchPod hardware-in-the-loop bench: power, flash, UART, I2C, CAN, analog and logic.

在你的电脑上运行今天更新
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。

Celmis

Understand, review, secure and fix your code, in one self-hosted place. One machine. Your model, your network. The code never leaves the company.

Website · Documentation · Quick start · What's new · Results

Celmis puts everything an engineering team needs to work with its code in one place. It indexes all of your repositories once, into a symbol graph built without a model, and every tool reads that same index:

  • understand code nobody documented: questions across repositories answered with file:line citations, in the app or from a coding agent (Claude Code, Cursor, Codex) over MCP, plus the team's own skills and checklists for the task at hand;
  • review pull requests with what the change touches beyond its own repository;
  • secure the dependencies: CVE audit, a CycloneDX SBOM and an evidence pack a third party can verify;
  • fix what an alert or a finding points at: an embedded Claude Code session on *your* subscription edits the code and the runner opens a pull request (220 seconds on one measured finding). A person reviews and merges; Celmis never merges or deploys.

It is built for the team that ships the code and answers for it in production. Instead of a separate tool for each of those jobs, each with its own access rules and its own copy of your code, one installation holds them all. The aim is a small team that can run several products and the integrations between them.

What "beyond its own repository" means today. Before a merge, the review checks the other repositories for values the change removes that they still hardcode, for deploy files that point at the changed repository, and for code that calls a changed function by the same name, quoting both sides. These are checks, not a call graph between repositories; that graph is not built yet.

What it does

Ask the codeQuestions across several repositories, answered with file:line citations on both sides of a call. Ask the code
Codebase and MCP51 tools over MCP, a compact /mcp/dev profile for editors, a Claude Code plugin, and versioned knowledge packs of the skills your team already explains out loud. MCP · Packs
Pull-request reviewAgents read the diff and, where the graph exists, who else calls what changed, across repositories. Talk to it with @celmis, teach it with remember, and it stays quiet when there is nothing to say. Review
EvidenceDependency audit, CycloneDX SBOM and an evidence pack whose manifest a third party recomputes. SBOM and evidence
Fix from hereAn alert or a dependency finding becomes an embedded session, then a branch, then a pull request. A human reviews and merges; Celmis never merges. Fix from here · Alerts
Access you can defendRepositories are closed by default, MCP tokens are issued per person, every call is audited, secrets are withheld at the source, and a repository can be shared with another workspace for a fixed time. Who can see what · Sharing

Install

git clone https://github.com/Celmis-labs/Celmis.git celmis && cd celmis

./scripts/init-env.sh # writes .env and fills every secret docker compose --env-file .env up -d

Then open http://localhost and paste one model provider key under Settings → LLM Setup.

197 seconds from clone to six healthy services on a clean server. Postgres and Qdrant are bundled; about 4 GB of RAM. Details in Quick start. An installation without a licence admits up to five people; see Licensing.

What's new in v3

  • Review that earns its comments. Findings below your comment level never reach the pull request; a review with nothing to say approves. Comments are the problem, the reason and the fix, in the repository's language (3.1).
  • A reviewer you can talk to. @celmis commands and questions in the thread, remember rules, learning from what the team dismisses, incremental review of each push, Jira acceptance criteria checked in the summary (2.3).
  • Knowledge packs. Versioned skills, API examples and checklists per workspace, readable in the app and by coding assistants through brief and skills; celmis-pack publishes them (3.0).
  • Access closed by default. A repository nobody has a rule for is invisible; MCP tokens belong to a person; every call is audited (2.3.7). Stricter secret hiding in 3.0.2.
  • Sharing between workspaces. For research, for a fixed time, with hidden paths and a ceiling on readers (3.1).
  • A developer MCP profile and a Claude Code plugin sized for an editor (2.3.7).

Every release is in the changelog.

Logs, and where the line falls

Celmis does not watch your services; Grafana or whatever you already run does that. The application ingests no logs of its own and starts from the alert. The repository ships an optional observability overlay (Prometheus, Loki, Promtail, Grafana) that does collect them, platform-wide rather than Celmis-only:

docker compose -f docker-compose.yml -f docker-compose.observability.yml up -d

Every port binds to 127.0.0.1 and is reached over an SSH tunnel, because Loki has no authentication. GRAFANA_ADMIN_PASSWORD is required.

What that buys you that a diff-only tool cannot

Ask a question that spans two repositories, and the answer quotes both, as in the screenshot at the top of this page. That is not a search result. The gateway and the payments service are separate repositories with no shared code, and the answer traces the call chain between them — then notices, unprompted, that the Kafka topic name is hardcoded in both and that changing one silently breaks the other.

A reviewer that reads only the diff structurally cannot say that. It never had the other repository open.


Nine things people do with it

You are a PM, a delivery lead or the client and want to know what state a group of projects is in, or how something actually worksAsk it. From any device, anywhere, without booking time from an engineer and without a meeting whose only output is a paragraph → Ask the code
A new engineer has a question a senior would have to answerEvery one of those pulls someone experienced out of flow, at the moment they are already covering. The codebase answers instead, with file:line citations → Ask the code
Two teams share an integration and neither can read the other's repositoryLoad it, grant the right to ask, and deny the paths that must stay private. They get answers; the credentials are refused at the source → Who can see what
A customer or an auditor asks for your SBOMOne button, CycloneDX, plus an evidence pack whose manifest they recompute themselves — against a hash you publish where the pack is not → Dependencies, SBOM and the evidence pack
A vulnerability lands in a dependency*Fix from here* hands an embedded session the repository, the package and the finding. It edits, the runner pushes a branch and opens a PR → Fix from here
A pull request needs reviewingAgents read the diff — and, where the graph is built, who else calls what is being changed, including from another repository → Pull-request review
Forty services need the same thing done to themWrite the sentence. Celmis shows which repositories it resolves to and waits for a second press, rather than finding them among forty and pressing a button forty times → Ask for work across repositories
An alert fires at 02:00 and you are not at a deskIt lands in Celmis and goes out to the workspace's chat channel, and *Fix from here* opens a session already holding the alert. The runner opens the pull request → Alerts, and fixing from a phone
Your own agent or editor needs to understand the codebasePoint it at /mcp/. Fifty-one tools over the same index, thirty-five of them read-only, under the same access rules — no second copy of your code anywhere → Connect Claude Code and other MCP clients

The first three are the ones a code-review tool does not do at all, and they are the reason this is a platform rather than a reviewer: index once, then read that index from whichever side of the work you are standing on.

Three numbers

197 secondsfrom git clone to six healthy services, measured on a clean server
$0.118per pull request reviewed, on the model this ships with
17th of 50on the Martian Code Review Bench offline set, under all three judges

That last one is deliberately unflattering, and it stays. It measures one of the surfaces below — pull-request review on isolated single-repository PRs — and that set has no sibling service for a symbol to have consumers in, so the thing this product is built around is not in the number at all. The table, the audit of every finding it scored false, and the command that reproduces both are in Results.

Table of contents

  • What it does
  • What's new in v3
  • What that buys you that a diff-only tool cannot
  • Nine things people do with it
  • Three numbers
  • Quick start
  • First user and admin
  • Connect a repository
  • Ask the code
  • Pull-request review
  • Dependencies, SBOM and the evidence pack
  • Fix from here
  • Alerts, and fixing from a phone
  • Ask for work across repositories
  • Who can see what
  • Languages and formats
  • Deterministic checks — no model, no false positives
  • Connect Claude Code and other MCP clients
  • Results
  • Audit of the false positives
  • Test repositories
  • Configuration
  • Operations
  • Local development
  • CLI reference
  • Architecture
  • Troubleshooting
  • Project layout
  • Provenance and rights

Quick start

What you need
Docker24+ with Compose v2Docker Desktop on macOS/Windows, the native engine on Linux
A model API keyone ofGoogle Gemini, Anthropic, OpenAI, OpenRouter, Groq or Mistral. A free Gemini key is enough to evaluate: https://aistudio.google.com/app/apikey
RAM~4 GB freeMeasured on a real indexing run: 1.1 GB peak across all five containers, 565 MB at rest

Postgres and Qdrant are **bundled

只显示了开头部分;其余内容请在仓库中阅读

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