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Complexity Analysis

by rodri-oliveira-devversion 1.0.1i★ 4 (Stars for the whole repo)iRuns on your computer
Registry nameio.github.rodri-oliveira-dev/complexity-analysis

How to install

What it does

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

  • Connects Runs on your computer
  • Account or key No key needed
  • Category Other

Install

Pick the AI app you use, then copy the settings.

Passed 2/2 checks · Runs on your computer

First: which AI do you use?

Pick your app and the steps appear below.

Works with Claude, with some setup first

No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone

  1. Open the Claude desktop app’s settings file

    SettingsDeveloperEdit Config

  2. Paste these settings and save the file

    {
      "mcpServers": {
        "complexity-analysis": {
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  3. Quit Claude and open it again

  4. Try it

    Use Complexity Analysis and tell me what you can do for me, then show me one thing

    ✓ If Claude says it is using Complexity Analysis or shows a Complexity Analysis tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

ChatGPT cannot connect Complexity Analysis yet

Complexity Analysis runs on your computer, but ChatGPT can only connect servers that run on the web

What you can do instead

A · Use an app that can connect Complexity Analysis

  • No key, nothing to install · Only the Claude desktop app (Windows or Mac), not the web or phone
  • No key, nothing to install
  • No one-click button: paste the settings and fill in the values yourself
  • No one-click button: paste the settings and fill in the values yourself

B · Others in Other that work with ChatGPT

Picked from the most used in the same category, only ones that connect by address with no key

Works with Claude Code, with some setup first

No key, nothing to install

  1. Open Terminal

    Mac: press Command+Space and type Terminal · Windows: open PowerShell

  2. Paste this command and press Enter

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

    You should see Complexity Analysis listed as connected

  4. Try it

    Use Complexity Analysis and tell me what you can do for me, then show me one thing

    ✓ If Claude Code says it is using Complexity Analysis or shows a Complexity Analysis tool in the answer, you are connected

Menu names checked against Anthropic’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with Cursor, with some setup first

No one-click button: paste the settings and fill in the values yourself

  1. Open Cursor’s MCP settings file

    ~/.cursor/mcp.json

    Paste these settings, fill in the empty values and save

    {
      "mcpServers": {
        "complexity-analysis": {
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  2. Open the AI chat in Cursor in Agent mode

  3. Try it

    Use Complexity Analysis and tell me what you can do for me, then show me one thing

    ✓ If Cursor says it is using Complexity Analysis or shows a Complexity Analysis tool in the answer, you are connected

Menu names checked against Cursor’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Works with VS Code, with some setup first

No one-click button: paste the settings and fill in the values yourself

  1. Open VS Code’s MCP settings file

    MCP: Open User Configuration

    Paste these settings, fill in the empty values and save

    {
      "servers": {
        "complexity-analysis": {
          "type": "stdio",
          "command": "dnx",
          "args": [
            "ComplexityAnalysis.Mcp",
            "--yes",
            "--root",
            "your-value"
          ]
        }
      }
    }
  2. Open the AI chat in VS Code in Agent mode

  3. Try it

    Use Complexity Analysis and tell me what you can do for me, then show me one thing

    ✓ If VS Code says it is using Complexity Analysis or shows a Complexity Analysis tool in the answer, you are connected

Menu names checked against VS Code’s help page on Nov 11, 2026 · your screen may differ slightly by app version

Other apps that use MCP, such as Windsurf, Zed or Gemini CLI, each add servers differently. See how in the app list.

See every app that uses MCP →

JSON settings are under “For developers” below

Stuck? Ask people who use Complexity Analysis💬 Discussion →
For developers: Terminal commands and JSON settings

Installed on your computer

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"
      ]
    }
  }
}

These settings are generated from the maker’s registry entry. If the README says otherwise, follow the README.

At a glance

GitHub starsi
4 (Stars for the whole repo)
This repo holds several MCP listings; its stars count once in rankings
Downloads per weeki
Not on npm/PyPI
Licencei
No licence stated
Connection
Runs on your computer
Latest versioni
1.0.1
Categoryi
Other
Published to registryi
Oct 30, 2026
Code last changedi
Nov 9, 2026
Maker
rodri-oliveira-dev
Packages
nuget: ComplexityAnalysis.Mcp
Registry status
Active

Which apps can use it

Based on how this server connects and on each app’s own docs, checked Nov 10, 2026.

Run on your computer in

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

All apps, with pros and cons →

Related guides

What it can do

Runs on your computer; the tool list appears in your AI app after you install it.

Basic checksi

We check information anyone can see; we have not read the code. Checks that do not apply are left out of the count. · Checked Nov 12, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account rodri-oliveira-dev, which owns the repo

  • ✓ Pass

    Still maintained

    Code last changed 3 days ago

  • … Not checked yet

    Has a licence

    We have not read this repo from GitHub yet

  • – Not applicable

    Endpoint responds

    This one runs on your computer; there is no internet endpoint

  • – Not applicable

    Sign-in with OAuth

    Runs on your computer and uses local settings instead

  • … Not checked yet

    No hidden instructions in tool descriptions

    Runs on your computer; we can only read tool lists from internet endpoints

Discussion

Ask, share a tip or report that it does not work. Sorted by what people marked helpful.

No posts yet. Be the first to ask or share.

Posts here are written by users, not the PopNx team.

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User reviews

No reviews yet

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Compared with others in Otheri

  • More stars than 86% of the other 19313 servers in this category
  • Published to the registry more recently than 75% of the other 19313 servers in this category
  • Basic checks equal to or better than 100% of the other 19313 servers in this category

Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.

Common questions

Is Complexity Analysis safe?

It passed 2 of 2 applicable basic checks. We have not read the code. Before adding a key or token, see what access the server asks for and use a key with only the permissions you need.

What keys or codes does it need?

The registry does not list a required key, though some servers ask you to sign in on first use.

Does it run on my computer or in the cloud?

It runs on your computer. Your AI app starts it when needed, and data does not pass through the maker’s servers (unless it calls an online service itself).

Is it still maintained?

The GitHub repo last changed 3 days ago, and the latest version (1.0.1) reached the registry 13 days ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.

What can I use instead?

In the same category: World Monitor, Claude Flow, Windmill

Others in the same category

Servers in the same category from other makers, sorted by stars.

Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

World Monitor

Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.

by koala73Widely used★ 90.5KUpdated today

Runs in the cloud✓ service owner · worldmonitor.app

Claude Flow

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

by ruvnetWidely used↓ 13.5K/wk★ 81.5KUpdated 14 months ago

Runs on your computer

Windmill

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

by windmill-labsWidely used★ 18.5KUpdated today

Runs in the cloud

README from the maker

Open the README

Copied from the maker’s repo as written. PopNx MCP has not reviewed or endorsed it. HTML, images and scripts are removed. Links lead off this site.

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