Analytixus

Name: Analytixus
Author: andyloewen78

by andyloewen78version 0.8.5i★ –iRuns on your computer

Registry namede.analytixus/analytixus-mcp

Install

Overview

Description from the maker (original English)

Analytixus DnAML repository access (read/write nodes, tree navigation, search) via MCP.

PopNx MCP’s three pillars

These three are never merged into one score: opinions, measurements and popularity are different things.

User voiceiNo reviews yetReviews open together with accounts in a later step
Our basic checksi1 of 1 passedChecked from public information; code not scanned yet
UsageiVery new★ –

What you can do with it

We have not written a plain-language summary for this one yet. Below are the facts we read from the registry.

Connection: Runs on your computer
Transport: stdio
Category: Search & AI memory

Install

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

Before you install

Basic checks: 1 of 1 passed
Runs on your computer with your user’s permissions (files, network, apps).
The registry lists no key to fill in.

Which app do you use?

ClaudeClaude CodeCursorVS CodeChatGPT

Pick your app above. We remember it, so next time the button says “Install in …”.

Open Claude Desktop → Settings → Developer → Edit Config, and paste this into claude_desktop_config.json

{
  "mcpServers": {
    "analytixus": {
      "command": "dnx",
      "args": [
        "Analytixus.Mcp",
        "--yes"
      ]
    }
  }
}

Run this in your terminal

claude mcp add analytixus -- dnx Analytixus.Mcp --yes

Open in Cursor

Or copy the settings yourself

Paste into .cursor/mcp.json in your project, or ~/.cursor/mcp.json

{
  "mcpServers": {
    "analytixus": {
      "command": "dnx",
      "args": [
        "Analytixus.Mcp",
        "--yes"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

Open in VS Code

Or copy the settings yourself

Paste into .vscode/mcp.json in your project

{
  "servers": {
    "analytixus": {
      "type": "stdio",
      "command": "dnx",
      "args": [
        "Analytixus.Mcp",
        "--yes"
      ]
    }
  }
}

Your browser asks to open the app, then the app shows the settings and asks you to confirm. Key values are left empty for you to fill in.

This one runs on your computer, and ChatGPT can only connect to servers on the internet. Pick another app.

Your choice stays on this device in a cookie; no account needed.

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

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 8, 2026

✓ Pass
Maker matches the repo
The registry name was verified against the domain analytixus.de (the registry checks domain ownership)
… Not checked yet
Still maintained
We have not read this repo from GitHub yet
… 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

Compared with others in Search & AI memoryi

More stars than 0% of the other 5690 servers in this category
Published to the registry more recently than 58% of the other 5690 servers in this category
Basic checks equal to or better than 100% of the other 5690 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 Analytixus safe?

It passed 1 of 1 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 –, and the latest version (0.8.5) reached the registry 29 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: Context7, Codebase Memory, Exa

Alternatives

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

Context7

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

by upstashWidely used↓ 972.7K/wk★ 64.2KUpdated 2 days ago

Computer or cloud

Install

Codebase Memory

Codebase knowledge graph for AI agents — 162 languages, sub-ms queries, 99% fewer tokens.

by DeusDataWidely used↓ 18K/wk★ 48.1KUpdated 22 days ago

Runs on your computer

Install

Exa

Connect AI agents to Exa for web search, content fetching, and multi-step research.

by exa-labsGrowing★ 5.2KUpdated 2 months ago

Runs in the cloud✓ exa.ai

Install

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.

Analytixus MCP Server

Analytixus is a metadata-driven development platform built around DnAML (Data and Analytics Markup Language) — you model your data sources, transformations, and documentation once, and generate SQL, pipelines, and docs from that single model instead of maintaining them by hand.

This MCP server exposes an Analytixus DnAML repository to any MCP-compatible client — Claude Desktop, Cursor, VS Code Copilot Chat, or your own tooling — so an AI assistant can read and write your metadata model directly.

This repository hosts documentation and configuration guidance for the Analytixus MCP server.

The server itself is distributed as a self-contained executable and as a .NET tool (see below).

What it does

Browse the repository tree — list solutions, sources, and objects in a DnAML model.
Search the repository — find nodes by name or type, or by DnAML content and sections (columns, origins, references, documentation, load, consumers); results keep their parent context. Use maxDepth on the tree tool to keep large repositories manageable.
Read and write DnAML nodes — fetch a single object's definition, create or update objects under a source or folder.
Solution management — list available solutions, add/rename/delete them.

Installation

Option 1 — self-contained download (no runtime required). Pre-built archives for Windows, macOS, and Linux are available on request from the Analytixus team.

Option 2 — .NET global tool (requires the .NET 8 runtime):

dotnet tool install --global Analytixus.Mcp

This installs the analytixus-mcp command.

Configuration

Claude Desktop

Add to claude_desktop_config.json:

Windows: %APPDATA%\Claude\claude_desktop_config.json
macOS: ~/Library/Application Support/Claude/claude_desktop_config.json
Linux: ~/.config/Claude/claude_desktop_config.json

"mcpServers": { "analytixus": { "command": "analytixus-mcp", "args": ["--stdio"], "env": { "ANALYTIXUS_SOLUTION_PATH": "/path/to/your/dnaml-solution", "ANALYTIXUS_SOLUTION_NAME": "YourSolutionName" } } } }

(If you installed the self-contained archive instead of the .NET tool, use the full path to the extracted Analytixus.Mcp executable as command.)

VS Code (Copilot Chat)

Option A — via the MCP Servers gallery (recommended):

Open the Extensions panel (Ctrl+Shift+X), switch to the MCP Servers tab, search for *Analytixus*, and click Install + Enable. VS Code adds an entry to your user-level mcp.json automatically — but without the required environment variables yet.

Open mcp.json and add an env key to the installed entry — leave command, args, gallery, and version exactly as VS Code wrote them:

Windows: %APPDATA%\Code\User\mcp.json
macOS: ~/Library/Application Support/Code/User/mcp.json
Linux: ~/.config/Code/User/mcp.json

"servers": { "de.analytixus/analytixus-mcp": { "type": "stdio", "command": "dnx", "args": ["Analytixus.Mcp@0.8.5", "--yes"], "gallery": "https://api.mcp.github.com", "version": "0.8.5", "env": { "ANALYTIXUS_SOLUTION_PATH": "/path/to/your/dnaml-solution", "ANALYTIXUS_SOLUTION_NAME": "YourSolutionName" } } } }

(The version number in args and version is whatever VS Code installed — keep it as-is.)

Option B — manual config (install the .NET global tool first: dotnet tool install --global Analytixus.Mcp):

Add to mcp.json:

"servers": { "analytixus": { "type": "stdio", "command": "analytixus-mcp", "args": ["--stdio"], "env": { "ANALYTIXUS_SOLUTION_PATH": "/path/to/your/dnaml-solution", "ANALYTIXUS_SOLUTION_NAME": "YourSolutionName" } } } }

Roo Code / Cline / other VS Code AI extensions

These extensions manage their own MCP server lists independently of VS Code's built-in mcp.json. Open each extension's MCP settings and add a server entry with command: analytixus-mcp, args: ["--stdio"], and the same env variables shown above.

Claude Code (CLI)

claude mcp add --env ANALYTIXUS_SOLUTION_PATH=/path/to/your/dnaml-solution \

--env ANALYTIXUS_SOLUTION_NAME=YourSolutionName --scope user \ analytixus -- analytixus-mcp --stdio

Environment variables

Variable	Purpose
`ANALYTIXUS_SOLUTION_PATH`	Path to the DnAML solution's root folder.
`ANALYTIXUS_SOLUTION_NAME`	Name of the solution — pins this server instance to it.
`ANALYTIXUS_LOG_LEVEL`	`Trace`\	`Debug`\	`Info`\	`Warn`\	`Error`\	`Fatal` (default `Info`).

Tools

Tool	Purpose
`solutions_list`	Registered solutions (only the pinned one when `ANALYTIXUS_SOLUTION_*` is set)
`repository_get_tree`	Repository tree of a solution. Use `maxDepth` (e.g. `1`) on large repositories to limit output
`repository_search`	Search nodes by name and/or node type; returns a hierarchical result including parents
`repository_search_content`	Search by DnAML content (`text`) and/or section presence (`hasColumns`, `hasOrigins`, `hasReferences`, `hasDocumentation`, `hasLoad`, `hasConsumers`); each hit reports why it matched
`repository_read_node`, `repository_read_node_recursive`	Read a node (or a node with all descendants) as DnAML or XML
`repository_write_node`	Validate and write DnAML to an existing node (renames are detected)
`repository_add_folder`, `repository_add_source`, `repository_add_node_under_folder`, `repository_add_node_under_source`	Create folders, sources and nodes
`repository_delete_node`, `repository_delete_folder_recursive`, `repository_delete_source_recursive`	Delete (irreversible)
`get_dnaml_reference`	DnAML syntax reference
`solution_add`, `solution_delete`, `solution_rename`	Solution management — only exposed when the server is not pinned to one solution

Logs are written to logs/ next to the tool. In --stdio mode stderr only receives Warn and above (never stdout — that is the JSON-RPC channel).

Learn more

Visit analytixus.de for more about the Analytixus platform.

Analytixus

Overview

PopNx MCP’s three pillars

What you can do with it

Install

Before you install

What it can do

Basic checksi

Maker matches the repo

Still maintained

Has a licence

Endpoint responds

Sign-in with OAuth

No hidden instructions in tool descriptions

Compared with others in Search & AI memoryi

Common questions

Alternatives

Context7

Codebase Memory

Exa

README from the maker

Analytixus MCP Server

What it does

Installation

Configuration

Claude Desktop

VS Code (Copilot Chat)

Roo Code / Cline / other VS Code AI extensions

Claude Code (CLI)

Environment variables

Tools

Learn more