package-version-check-mcp 0.0.1

A MCP server that returns the current, up-to-date version of packages you use as dependencies in a variety of ecosystems, such as Python, NPM, Go, or GitHub Actions

package-version-check-mcp

A MCP server that returns the current, up-to-date version of packages you use as dependencies in a variety of ecosystems, such as Python, NPM, Go, or GitHub Actions

Features

Currently supported ecosystems:

• npm - Node.js packages from the npm registry
• pypi - Python packages from PyPI
• GitHub Actions - Actions hosted on GitHub

Usage

Adding the MCP to Your Agent

There are three ways to make this MCP available to your AI coding agent:

Option 1: Use the Hosted Service (Easiest)

Point your agent to the free hosted service:

https://package-version-check-mcp.onrender.com/mcp

This is the quickest way to get started. Note that the hosted service may have rate limits from the underlying package registries.

Option 2: Run with uvx (for local use)

Use uvx to run the MCP server locally:

uvx package-version-check-mcp --mode=stdio

This automatically installs and runs the latest version from PyPI.

Optional but recommended: Set the GITHUB_PAT environment variable to a GitHub Personal Access Token (no scopes required) to avoid GitHub API rate limits.

Option 3: Run with Docker (for local use)

Use the pre-built Docker image:

docker run --rm -i ghcr.io/mshekow/package-version-check-mcp:latest --mode=stdio

Optional but recommended: Pass the GITHUB_PAT environment variable using -e GITHUB_PAT=your_token_here to avoid GitHub API rate limits.

Configuring Your Agent

Once you've added the MCP server, you need to:

1. Enable the MCP tools in your agent's configuration. The available tools are documented below

2. Nudge the agent to use the MCP in your prompts. Most LLMs don't automatically invoke this MCP's tools without explicit guidance. Include instructions like:

   • "Use MCP to get latest versions"
   • "Check the latest package versions using the MCP tools"
   • "Use get_latest_versions to find the current version"

Available Tools

get_latest_versions

Fetches the latest versions of packages from various ecosystems.

Input:

• packages: Array of package specifications, where each item contains:
  • ecosystem (required): Either "npm" or "pypi"
  • package_name (required): The name of the package (e.g., "express", "requests")
  • version (optional): Version constraint (not currently used for filtering)

Output:

• result: Array of successful lookups with:
  • ecosystem: The package ecosystem (as provided)
  • package_name: The package name (as provided)
  • latest_version: The latest version number (e.g., "1.2.4")
  • digest: (optional) Package digest/hash if available
  • published_on: (optional) Publication date if available
• lookup_errors: Array of errors with:
  • ecosystem: The package ecosystem (as provided)
  • package_name: The package name (as provided)
  • error: Description of the error

Example:

{
  "packages": [
    {"ecosystem": "npm", "package_name": "express"},
    {"ecosystem": "pypi", "package_name": "requests"}
  ]
}

get_github_action_versions_and_args

Fetches the latest versions and metadata for GitHub Actions hosted on github.com.

Input:

• action_names (required): Array of action names in "owner/repo" format (e.g., ["actions/checkout", "docker/login-action"])
• include_readme (optional): Boolean (default: false), whether to include the action's README.md with usage instructions

Output:

• result: Array of successful lookups with:
  • name: The action name (as provided)
  • latest_version: The most recent Git tag (e.g., "v3.2.4")
  • metadata: The action.yml metadata as an object with fields:
    • inputs: Action input parameters
    • outputs: Action outputs
    • runs: Execution configuration
  • readme: (optional) The action's README content if include_readme was true
• lookup_errors: Array of errors with:
  • name: The action name (as provided)
  • error: Description of the error

Example:

{
  "action_names": ["actions/checkout", "actions/setup-python"],
  "include_readme": false
}

Development

Running the Server Manually (For Development)

If you're developing or testing the MCP server locally, you can run it directly.

First, follow the Package management with Poetry -> Setup instructions to configure your virtual environments.

Next:

.poetry/bin/poetry run python -m package_version_check_mcp.main

Or if you have the .venv activated:

python src/package_version_check_mcp/main.py

Package management with Poetry

Setup

On a new machine, create a venv for Poetry (in path <project-root>/.poetry), and one for the project itself (in path <project-root>/.venv), e.g. via C:\Users\USER\AppData\Local\Programs\Python\Python312\python.exe -m venv <path>. This separation is necessary to avoid dependency conflicts between the project and Poetry.

Using the pip of the Poetry venv, install Poetry via pip install -r requirements-poetry.txt

Then, run poetry sync --all-extras, but make sure that either no venv is active, or the .venv one, but not the .poetry one (otherwise Poetry would stupidly install the dependencies into that one, unless you previously ran poetry config virtualenvs.in-project true). The --all-extras flag is required to install development dependencies, such as pytest.

Updating dependencies

• When dependencies changed from the outside, e.g. because Renovate updated the pyproject.toml and poetry.lock file, run poetry sync --all-extras to update your local environment. This removes any obsolete dependencies from your .venv venv.
• If you updated a dependency in pyproject.toml, run poetry update && poetry sync --all-extras to update the lock file and install the updated dependencies including extras.
• To only update the transitive dependencies (keeping the ones in pyproject.toml the same), run poetry update && poetry sync --all-extras, which updates the lock file and installs the updates into the active venv.

Make sure that either no venv is active (or the .venv venv is active) while running any of the above poetry commands.