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Complexity Analysis

作者:rodri-oliveira-dev版本 1.0.1i★ 4 (整个仓库的星标)i在你的电脑上运行
注册名称io.github.rodri-oliveira-dev/complexity-analysis

安装方法

What it does

Analyze C# complexity, inspect member evidence, and compare deterministic snapshots.

  • Connects 在你的电脑上运行
  • Account or key No key needed
  • Category 其他

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 · ✓ 命令已检查 2026年11月13日

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

不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用

  1. 打开电脑版 Claude 应用的设置文件

    SettingsDeveloperEdit Config

  2. 粘贴这些设置并保存文件

    {
      "mcpServers": {
        "complexity-analysis": {
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  3. 退出 Claude 再重新打开

  4. 试一试

    用 Complexity Analysis 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 Complexity Analysis,或回答中出现 Complexity Analysis 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 Complexity Analysis

Complexity Analysis 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 Complexity Analysis 的应用

  • 不需要密钥,不用安装程序 · 仅限电脑上的 Claude 应用(Windows 或 Mac),网页和手机不可用
  • 不需要密钥,不用安装程序
  • 没有一键按钮,需要粘贴设置并自行填写
  • 没有一键按钮,需要粘贴设置并自行填写

B · 其他 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

不需要密钥,不用安装程序

  1. 打开终端

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

  2. 粘贴这条命令并按 Enter

    claude mcp add --scope user complexity-analysis -- dnx ComplexityAnalysis.Mcp --yes --root your-value
  3. 在 Claude Code 中输入 /mcp

    应能看到 Complexity Analysis 在列表中并显示已连接

  4. 试一试

    用 Complexity Analysis 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 Complexity Analysis,或回答中出现 Complexity Analysis 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

没有一键按钮,需要粘贴设置并自行填写

  1. 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": {
        "complexity-analysis": {
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  2. 在 Cursor 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Complexity Analysis 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 Complexity Analysis,或回答中出现 Complexity Analysis 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

没有一键按钮,需要粘贴设置并自行填写

  1. 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": {
        "complexity-analysis": {
          "type": "stdio",
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  2. 在 VS Code 中以 Agent 模式打开 AI 聊天

  3. 试一试

    用 Complexity Analysis 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 Complexity Analysis,或回答中出现 Complexity Analysis 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 Complexity Analysis 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 --scope user complexity-analysis -- dnx ComplexityAnalysis.Mcp --yes --root your-value

Claude Desktop (claude_desktop_config.json)

{
  "mcpServers": {
    "complexity-analysis": {
      "command": "dnx",
      "args": [
        "ComplexityAnalysis.Mcp",
        "--yes",
        "--root",
        "your-value"
      ]
    }
  }
}

Cursor (~/.cursor/mcp.json)

{
  "mcpServers": {
    "complexity-analysis": {
      "command": "dnx",
      "args": [
        "ComplexityAnalysis.Mcp",
        "--yes",
        "--root",
        "your-value"
      ]
    }
  }
}

VS Code (mcp.json)

{
  "servers": {
    "complexity-analysis": {
      "type": "stdio",
      "command": "dnx",
      "args": [
        "ComplexityAnalysis.Mcp",
        "--yes",
        "--root",
        "your-value"
      ]
    }
  }
}

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

GitHub 星标i
4 (整个仓库的星标)
该仓库包含多个 MCP 条目,星标在排名中只计算一次
每周下载量i
不在 npm/PyPI 上
连接方式
在你的电脑上运行
最新版本i
1.0.1
分类i
其他
发布到注册中心i
2026年10月30日
代码最后更新i
2026年11月9日
作者
rodri-oliveira-dev
软件包
nuget: ComplexityAnalysis.Mcp
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14日

  • ✓ 通过

    作者与仓库一致

    注册名称已通过 GitHub 账户 rodri-oliveira-dev 验证,该账户拥有此仓库

  • ✓ 通过

    仍在维护

    代码最后更新于5天前

  • ✓ 通过

    有许可证

    使用 MIT

  • – 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

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用 Google 登录后写评价

与“其他”中的其他服务器比较i

  • 星标数多于此分类中其他 19693 个服务器的 86%
  • 发布到注册中心的时间比此分类中其他 19693 个服务器的 73% 更新
  • 基础检查结果等于或优于此分类中其他 19693 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

Complexity Analysis 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5天前,最新版本(1.0.1)于15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 .NET。

有什么可以替代它?

同一分类中有:World Monitor, Claude Flow, Windmill

同类别的其他选择

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

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 97 tools.

作者:koala73广泛使用★ 9.1万昨天更新

在云端运行✓ 服务方 · worldmonitor.app

Claude Flow

AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.

作者:ruvnet广泛使用↓ 1.4万/周★ 8.2万14个月前更新

在你的电脑上运行

Windmill

Run Windmill scripts and flows and manage jobs, schedules, resources and variables.

作者:windmill-labs广泛使用★ 1.9万前天更新

在云端运行

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。

ComplexityAnalysis.Mcp

Português (Brasil)

ComplexityAnalysis.Mcp is a local, read-only MCP server that lets compatible agents analyze C# project complexity, inspect the evidence for a member, and compare deterministic snapshots. It exposes analysis tools to an external agent; it is not an autonomous agent and never edits source code.

Choose the right product

  • ComplexityAnalysis.Analyzers runs inside Roslyn builds and IDE analysis.
  • ComplexityAnalysis.Tool is the complexity-analysis CLI for reports, snapshots, quality gates, and automation.
  • ComplexityAnalysis.Mcp is the complexity-mcp stdio server for agent tool discovery and invocation. It reuses the CLI analysis implementation.

The MCP package installs independently and includes everything needed to run; it does not require a repository checkout or a prior CLI installation.

Requirements and installation

.NET 10 runtime is required. The .NET 10 SDK is recommended for local tool manifests.

After 1.0.0 is published, install globally:

dotnet tool install --global ComplexityAnalysis.Mcp --version 1.0.0

complexity-mcp --version

Or pin it in a local manifest:

dotnet new tool-manifest

dotnet tool install ComplexityAnalysis.Mcp --version 1.0.0 dotnet tool restore dotnet tool run complexity-mcp --version

Update or uninstall a global installation with:

dotnet tool update --global ComplexityAnalysis.Mcp --version <version>

dotnet tool uninstall --global ComplexityAnalysis.Mcp

For a local manifest, omit --global; run with dotnet tool run complexity-mcp. A package built from source is not a published release: use an explicit local source and local-only version when testing it.

Start the server

MCP clients normally start the process for you. The launch command is:

complexity-mcp --root /absolute/path/to/project

--root is the read boundary, not merely a working-directory hint. Use an absolute path so the same configuration works regardless of the client's working directory.

Startup optionDefaultAllowed values
--root Current directoryExisting directory
--timeout-seconds 301 to 300
--max-input-bytes 52428800 (50 MiB)1 to 1073741824
--max-files 20001 to 100000

Use complexity-mcp --help for the installed version's options. --help and --version print and exit before stdio protocol startup.

MCP tools

All tools are annotated read-only and return structured content.

analyze_project

Analyzes a .csproj, .sln, or .slnx below --root.

  • path is required.
  • responseMode is full by default and preserves the v1 contract's complete snapshot under report.
  • responseMode: "summary" returns a compact member index under summary.
  • maxMembers applies only to summary mode, defaults to 100, and accepts 1..500.

Summary truncation is never silent: isTruncated, totalMemberCount, and returnedMemberCount state exactly what was omitted. Every response also returns a deterministic analysisId. A bounded cache retains up to four exact snapshots and at most 16 MiB in total; reusable reports whether the snapshot was retained.

query_member_evidence

Looks up an exact StableId in a project or solution. Without analysisId, it reanalyzes current files for backward compatibility. With an analysisId from analyze_project, it reads that immutable cached snapshot and avoids repeating Roslyn analysis. It fails explicitly if the snapshot was not retained or was evicted; it never substitutes potentially stale current results.

compare_snapshots

Compares baseline and current .json complexity snapshots below --root. Results are deterministic. An Unknown estimate is incomparable and is not promoted to a proven regression.

Example agent workflow

Ask an agent:

  • "Summarize complexity hotspots in src/App/App.csproj."
  • "Why is member M:App.Search(System.Int32[]) reported as quadratic?"
  • "Compare baseline.json with current.json; list only proven regressions."
  • "Which results are Unknown, and what evidence explains each one?"

For large projects, the efficient sequence is:

  1. call analyze_project with responseMode: "summary";
  2. inspect isTruncated and the returned member index;
  3. call query_member_evidence with the returned analysisId and a StableId.

A shortened response looks like:

{

"schemaVersion": "complexity-mcp-analysis/1.0", "analysisId": "sha256: ", "responseMode": "summary", "reusable": true, "isTruncated": false, "totalMemberCount": 1, "returnedMemberCount": 1, "report": null, "summary": { "unknownMemberCount": 1, "members": [ { "stableId": "M:Sample.Work", "complexityStatus": "unknown", "complexity": null } ] } }

Unknown means the bounded analyzer could not prove a safe estimate. It is not O(1), an error, or evidence that the method is efficient.

Client configuration

The common launch values are:

{

"command": "complexity-mcp", "args": ["--root", "/absolute/path/to/project"] }

VS Code / GitHub Copilot

Create .vscode/mcp.json:

{

"servers": { "complexity-analysis": { "type": "stdio", "command": "complexity-mcp", "args": ["--root", "${workspaceFolder}"] } } }

Then run MCP: List Servers and start or inspect the server. See the official VS Code MCP configuration reference.

Codex CLI and IDE extension

Register the installed stdio command:

codex mcp add complexity-analysis -- complexity-mcp --root /absolute/path/to/project

codex mcp list

Equivalent ~/.codex/config.toml:

[mcp_servers.complexity-analysis]

command = "complexity-mcp" args = ["--root", "/absolute/path/to/project"]

Codex CLI and its IDE extension share this configuration. See the official Codex MCP documentation.

Claude Desktop

For a local developer-defined server, add this entry to claude_desktop_config.json and fully restart Claude Desktop:

{

"mcpServers": { "complexity-analysis": { "command": "complexity-mcp", "args": ["--root", "/absolute/path/to/project"] } } }

On Windows the file is under %APPDATA%\Claude; on macOS it is under ~/Library/Application Support/Claude. See the official MCP SDK's real-host guide.

Windows, macOS, and Linux notes

  • Ensure the .NET global tools directory is on the environment PATH inherited by the client. dotnet tool list --global confirms the installation; if the client cannot resolve it, configure the absolute complexity-mcp executable discovered on that machine without committing the machine-specific path.
  • JSON Windows paths require escaped backslashes; forward slashes also work in .NET paths.
  • GUI clients may inherit a different PATH from an interactive shell. Restart the client after installation or configure the absolute executable path.
  • --root should be absolute. The process working directory does not expand the read boundary.

Distribution and Official MCP Registry

The three publication channels have different purposes:

  • NuGet.org hosts the installable .NET tool used by the commands above.
  • GitHub Packages mirrors the same validated .nupkg for consumers of the repository package feed.
  • The Official MCP Registry stores discovery metadata for io.github.rodri-oliveira-dev/complexity-analysis; its nuget package entry points clients to ComplexityAnalysis.Mcp on NuGet.org. It does not host a second executable or turn this server into a remote service.

Registry discovery does not change the local client configurations above: clients still install or resolve the NuGet tool and start complexity-mcp over stdio with an explicit --root.

Each manual main release derives the manifest and package versions from the validated workflow input. After NuGet.org and the GitHub Release succeed, the workflow waits for the NuGet README containing the ownership marker, validates the manifest with a fixed, Sigstore-verified mcp-publisher, authenticates with GitHub OIDC, publishes, and queries the Registry API to verify the exact name and version. Pull-request runs validate the package and versioned manifest but never authenticate or publish.

To verify a release, search the Official MCP Registry for the full server name, or query its public API:

curl --get \

--data-urlencode "search=io.github.rodri-oliveira-dev/complexity-analysis" \ https://registry.modelcontextprotocol.io/v0.1/servers

Troubleshooting:

  • OIDC login fails: confirm the run is a manual deployment from main, the protected release environment approved it, and id-token: write remains on the Registry job. No PAT or persistent Registry secret is expected.
  • Manifest validation fails: run mcp-publisher validate .mcp/server.json and keep the server name, NuGet identifier, stdio transport, and schema valid.
  • Package is not available: wait for NuGet.org flat-container and README indexing, then rerun the same release workflow. Published package and release artifacts remain intact.
  • Version conflict: Registry and NuGet versions are immutable. A retry is accepted only for compatible metadata; otherwise correct the source and use a new semantic version instead of attempting to replace the published one.

See the official package-type specification, GitHub Actions publishing guide, and .NET publishing guide.

Security and limitations

The server is local, stdio-only, and read-only. It has no HTTP transport, network calls, telemetry, shell execution, source mutation, or write tools. It rejects paths outside --root, unsupported extensions, traversal through symbolic links/reparse points, and requests exceeding file, byte, or timeout limits. Concurrent requests use independent limit and cancellation scopes. Paths in reports are relative to --root; errors do not echo local absolute paths. stdout is reserved for MCP JSON-RPC and logs go to stderr.

The analysis is conservative and bounded. It does not build the project, load MSBuild evaluation, execute code, or solve every valid C# program. Configuration is read from the project and source files supported by the shared CLI loader.

Project links