World Monitor
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
Analyze C# complexity, inspect member evidence, and compare deterministic snapshots.
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
SettingsDeveloperEdit Config
{
"mcpServers": {
"complexity-analysis": {
"command": "dnx",
"args": [
"ComplexityAnalysis.Mcp",
"--yes",
"--root",
"your-value"
]
}
}
}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
A · Use an app that can connect Complexity Analysis
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
Mac: press Command+Space and type Terminal · Windows: open PowerShell
claude mcp add --scope user complexity-analysis -- dnx ComplexityAnalysis.Mcp --yes --root your-valueYou should see Complexity Analysis listed as connected
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
~/.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"
]
}
}
}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
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"
]
}
}
}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
Claude Code
claude mcp add --scope user complexity-analysis -- dnx ComplexityAnalysis.Mcp --yes --root your-valueClaude 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.
nuget: ComplexityAnalysis.McpBased 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
Runs on your computer; the tool list appears in your AI app after you install it.
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
The registry name was verified with the GitHub account rodri-oliveira-dev, which owns the repo
Code last changed 3 days ago
We have not read this repo from GitHub yet
This one runs on your computer; there is no internet endpoint
Runs on your computer and uses local settings instead
Runs on your computer; we can only read tool lists from internet endpoints
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.
No reviews yet
Compared with every active server in this category in the registry. Stars count only when the publisher owns the repo.
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.
The registry does not list a required key, though some servers ask you to sign in on first use.
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).
The GitHub repo last changed 3 days ago, and the latest version (1.0.1) reached the registry 13 days ago.
Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need .NET on your computer.
In the same category: World Monitor, Claude Flow, Windmill
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
Real-time global intelligence on conflict, markets, energy, trade, shipping and cyber. 104 tools.
AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
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 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.
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.
.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.
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 option | Default | Allowed values |
|---|---|---|
--root | Current directory | Existing directory |
--timeout-seconds | 30 | 1 to 300 |
--max-input-bytes | 52428800 (50 MiB) | 1 to 1073741824 |
--max-files | 2000 | 1 to 100000 |
Use complexity-mcp --help for the installed version's options. --help and --version print and exit before stdio protocol startup.
All tools are annotated read-only and return structured content.
analyze_projectAnalyzes 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_evidenceLooks 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_snapshotsCompares baseline and current .json complexity snapshots below --root. Results are deterministic. An Unknown estimate is incomparable and is not promoted to a proven regression.
Ask an agent:
src/App/App.csproj."M:App.Search(System.Int32[]) reported as quadratic?"baseline.json with current.json; list only proven regressions."Unknown, and what evidence explains each one?"For large projects, the efficient sequence is:
analyze_project with responseMode: "summary";isTruncated and the returned member index;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.
The common launch values are:
{
"command": "complexity-mcp", "args": ["--root", "/absolute/path/to/project"] }
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.
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.
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.
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.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.The three publication channels have different purposes:
.nupkg for consumers of the repository package feed.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:
main, the protected release environment approved it, and id-token: write remains on the Registry job. No PAT or persistent Registry secret is expected.mcp-publisher validate .mcp/server.json and keep the server name, NuGet identifier, stdio transport, and schema valid.See the official package-type specification, GitHub Actions publishing guide, and .NET publishing guide.
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.