Repology MCP Server

Name: Repology MCP Server
Author: tschoonj

by tschoonjversion 0.1.1i★ –iRuns on your computer

Registry nameio.github.tschoonj/repology-mcp-server

Install

Overview

Description from the maker (original English)

MCP server that provides access to Repology package repository data

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
UsageiNot measured yet★ –

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: Developer tools

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.

You need

PyPIPython’s uv installed (for the uvx command)

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": {
    "repology": {
      "command": "uvx",
      "args": [
        "repology-mcp-server"
      ]
    }
  }
}

Run this in your terminal

claude mcp add repology -- uvx repology-mcp-server

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "repology": {
      "command": "uvx",
      "args": [
        "repology-mcp-server"
      ]
    }
  }
}

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": {
    "repology": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "repology-mcp-server"
      ]
    }
  }
}

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 7, 2026

✓ Pass
Maker matches the repo
The registry name was verified with the GitHub account tschoonj, which owns the repo
… 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 Developer toolsi

More stars than 0% of the other 4901 servers in this category
Published to the registry more recently than 0% of the other 4901 servers in this category
Basic checks equal to or better than 100% of the other 4901 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 Repology MCP Server 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 (0.1.1) reached the registry 13 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Python (uv), Docker on your computer.

What can I use instead?

In the same category: GitHub, Desktop Commander, Cloudflare MCP

Alternatives

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

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

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by github

GitHub’s official server lets AI read and manage code, issues and pull requests in your account. Use GitHub’s hosted version or run it locally with Docker.

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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.

Repology MCP Server

A Model Context Protocol (MCP) server that provides access to the Repology package repository data through a standardized interface.

Features

This MCP server exposes the following tools:

search_projects: Search for projects by name
get_project: Get detailed information about a specific project
list_projects: List projects with optional filtering
get_repository_problems: Get problems reported for repositories
get_maintainer_problems: Get problems reported for specific maintainers

Installation

Using uv (recommended)

# Install dependencies

uv sync

Install in development mode

uv pip install -e .

Using pip

pip install -e .

Usage

As a standalone server

# Run with stdio transport (for Claude Desktop, etc.)

repology-mcp-server

Run with HTTP transport

repology-mcp-server --transport http --port 8000

With Claude Desktop

Add to your Claude Desktop configuration:

"mcpServers": { "repology": { "command": "uv", "args": ["run", "repology-mcp-server"] } } }

Or using the pre-built Docker image:

"mcpServers": { "repology": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/tschoonj/repology-mcp-server:latest"] } } }

With VS Code

Add to your VS Code settings (.vscode/settings.json or user settings):

"mcp.servers": { "repology": { "command": "uv", "args": ["run", "repology-mcp-server"] } } }

Or using the pre-built Docker image:

"mcp.servers": { "repology": { "command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/tschoonj/repology-mcp-server:latest"] } } }

As a development server

# Run in development mode with MCP inspector

uv run mcp dev src/repology_mcp/server.py

Using Docker

Pre-built images from GitHub Container Registry

# Pull the latest image

docker pull ghcr.io/tschoonj/repology-mcp-server:latest

Run with stdio transport

docker run -i --rm ghcr.io/tschoonj/repology-mcp-server:latest

Run with HTTP transport on port 8000

docker run --rm -p 8000:8000 ghcr.io/tschoonj/repology-mcp-server:latest --transport http --port 8000

Use a specific version

docker pull ghcr.io/tschoonj/repology-mcp-server:1.0.0 docker run -i --rm ghcr.io/tschoonj/repology-mcp-server:1.0.0

Local development with Docker

# Build the Docker image locally

docker build -t repology-mcp-server .

Run with stdio transport

docker run -i --rm repology-mcp-server

Run with HTTP transport on port 8000

docker run --rm -p 8000:8000 repology-mcp-server --transport http --port 8000

Development

Setup

# Clone the repository

git clone cd repology-mcp-server

Install development dependencies

uv sync --extra dev

Running tests

# Run all tests

uv run pytest

Run with coverage

uv run pytest --cov=repology_mcp --cov-report=html

Run specific test file

uv run pytest tests/test_client.py -v

Code formatting

# Format code

uv run black src tests uv run isort src tests

Type checking

uv run mypy src

API Reference

Tools

search_projects

Search for projects by name substring.

Parameters:

query (string): Search term to match against project names
limit (integer, optional): Maximum number of results (default: 10, max: 100)

get_project

Get detailed package information for a specific project.

Parameters:

project_name (string): Exact name of the project to retrieve

list_projects

List projects with optional filtering.

Parameters:

start_from (string, optional): Project name to start listing from
limit (integer, optional): Maximum number of results (default: 10, max: 200)
maintainer (string, optional): Filter by maintainer email
category (string, optional): Filter by category
inrepo (string, optional): Filter by repository presence
notinrepo (string, optional): Filter by repository absence

get_repository_problems

Get problems reported for a specific repository.

Parameters:

repository (string): Repository name (e.g., "freebsd", "debian")
start_from (string, optional): Project name to start from for pagination

get_maintainer_problems

Get problems reported for packages maintained by a specific person.

Parameters:

maintainer (string): Maintainer email address
repository (string, optional): Limit to specific repository
start_from (string, optional): Project name to start from for pagination

License

MIT License - see LICENSE file for details.

Contributing

Fork the repository
Create a feature branch
Make your changes
Add tests for new functionality
Run the test suite
Submit a pull request

Repology MCP Server

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 Developer toolsi

Common questions

Alternatives

GitHub

Desktop Commander

Cloudflare MCP

README from the maker

Repology MCP Server

Features

Installation

Using uv (recommended)

Install in development mode

Using pip

Usage

As a standalone server

Run with HTTP transport

With Claude Desktop

With VS Code

As a development server

Using Docker

Pre-built images from GitHub Container Registry

Run with stdio transport

Run with HTTP transport on port 8000

Use a specific version

Local development with Docker

Run with stdio transport

Run with HTTP transport on port 8000

Development

Setup

Install development dependencies

Running tests

Run with coverage

Run specific test file

Code formatting

Type checking

API Reference

Tools

search_projects

get_project

list_projects

get_repository_problems

get_maintainer_problems

License

Contributing