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Global Executables

by asopitech-labsversion 1.4.1i★ –iRuns on your computer
Registry nameio.github.asopitech-labs/global-executables

Install

Overview

Description from the maker (original English)

Check whether a CLI command name is already taken across npm, PyPI, crates.io, Go, Debian and more

PopNx MCP’s three pillars

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

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: Other

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).
  • You fill in yourself: GLOBAL_EXECUTABLES_DATASET_ROOT, GLOBAL_EXECUTABLES_CACHE_DIR, GLOBAL_EXECUTABLES_OFFLINE

You need

  • PyPIPython’s uv installed (for the uvx command)

Which app do you use?

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": {
    "global-executables": {
      "command": "uvx",
      "args": [
        "global-executables",
        "mcp"
      ],
      "env": {
        "GLOBAL_EXECUTABLES_DATASET_ROOT": "your-value",
        "GLOBAL_EXECUTABLES_CACHE_DIR": "your-value",
        "GLOBAL_EXECUTABLES_OFFLINE": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add global-executables --env GLOBAL_EXECUTABLES_DATASET_ROOT=your-value --env GLOBAL_EXECUTABLES_CACHE_DIR=your-value --env GLOBAL_EXECUTABLES_OFFLINE=your-value -- uvx global-executables mcp

Fill in the empty values before running it.

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "global-executables": {
      "command": "uvx",
      "args": [
        "global-executables",
        "mcp"
      ],
      "env": {
        "GLOBAL_EXECUTABLES_DATASET_ROOT": "your-value",
        "GLOBAL_EXECUTABLES_CACHE_DIR": "your-value",
        "GLOBAL_EXECUTABLES_OFFLINE": "your-value"
      }
    }
  }
}

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": {
    "global-executables": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "global-executables",
        "mcp"
      ],
      "env": {
        "GLOBAL_EXECUTABLES_DATASET_ROOT": "your-value",
        "GLOBAL_EXECUTABLES_CACHE_DIR": "your-value",
        "GLOBAL_EXECUTABLES_OFFLINE": "your-value"
      }
    }
  }
}

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.

Values you fill in

  • GLOBAL_EXECUTABLES_DATASET_ROOT env
    Optional local checkout of the dictionary branch; when unset, files are fetched on demand over HTTPS and cached
  • GLOBAL_EXECUTABLES_CACHE_DIR env
    Optional cache directory for fetched dataset files
  • GLOBAL_EXECUTABLES_OFFLINE env
    Set to 1 to serve only cached files and never touch the network

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 asopitech-labs, 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 Otheri

  • More stars than 0% of the other 32623 servers in this category
  • Published to the registry more recently than 67% of the other 32623 servers in this category
  • Basic checks equal to or better than 100% of the other 32623 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 Global Executables 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 (1.4.1) reached the registry 18 days 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: Spec Driven Development, Remote Desktop Commander, Draugr

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

Spec Driven Development

by formulahendry

MCP Server that facilitates spec-driven development workflows, not just Vibe Coding.

Runs on your computer★ 440MITUpdated 14 months ago
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Remote Desktop Commander

by desktop-commander

Remote Desktop Commander: use files, terminal and processes on your own computers from any AI app.

Runs in the cloud★ 211Updated 2 days ago
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Draugr

by draugr-dev

Security scanning for AI agents: SAST, SCA, secrets, IaC, DAST, ranked by real risk.

Runs on your computerUpdated today
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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.

Global Executables

Check whether a CLI command name is already in use—before you publish it.

Search executable names across npm, PyPI, crates.io, Go modules, Homebrew, Debian, and more from your AI agent or browser.

Try the Playground · Install the MCP server · Read the docs · Browse the data

Why this exists

A package name is not necessarily the command it installs. Searching registries for package names can miss a collision such as a differently named package that already ships your proposed command.

Ordinary package searchGlobal Executables
Searches package and repository namesSearches the actual installed command name
Leaves evidence scattered across registriesNormalizes providers across ecosystems
A missing result can look deceptively finalReports coverage and absence confidence
Requires a person to repeat the workLets AI agents check names in batches and verify known packages

The index preserves the relationship that matters:

command → provider → package → ecosystem → source evidence

Try it now—no installation

Open the [Index Playground](https://asopitech-labs.github.io/global-executables/) to check a name, find similar commands, inspect providers, or review source coverage. The Playground reads the same public JSON dataset as the MCP server, and query data is not sent to a third-party API.

For an AI-assisted check, connect the MCP server below and ask:

I am naming a new CLI. Check `envc`, `evcr`, `evpk`, and `envcp` for exact

collisions and confusingly similar commands. Keep rejected names internal and explain the coverage caveat for every survivor.

The agent can reject envcp with evidence instead of relying on a package-name search: the command is provided on PyPI by both chaperone and envcp.

What you get

CapabilityWhat it gives you
Exact and batch checksCollision results for one name or a candidate set
Similar-name searchTypo and confusion candidates before you publish
Provider provenancePackage, ecosystem, version, source, and evidence confidence
Coverage-aware negativesAn explicit distinction between “not found” and “proven free”
Installation resolutionConservative install and invoke steps for a target environment
Public, inspectable dataVersioned JSON, schemas, freshness, and coverage on GitHub

The server has no write tools and never installs or executes the software it finds.

Quick start

1. Install uv

The recommended setup uses uv. You do not need to clone this repository, download the dataset, or create an API key.

Verify that uvx is available:

uvx --version
2. Add the MCP server

Choose your client below. The first launch downloads the package from PyPI; later launches reuse uv's cache.

Claude Desktop and Cursor

Add this to claude_desktop_config.json, ~/.cursor/mcp.json, or a project's .cursor/mcp.json:

{

"mcpServers": { "global-executables": { "command": "uvx", "args": ["global-executables", "mcp"] } } }

Claude Code

claude mcp add global-executables -- uvx global-executables mcp

Codex CLI

codex mcp add global-executables -- uvx global-executables mcp

Start a new Codex session after adding the server. See the Codex setup tutorial for registration checks and a source-checkout setup.

VS Code

Add this to .vscode/mcp.json:

{

"servers": { "global-executables": { "type": "stdio", "command": "uvx", "args": ["global-executables", "mcp"] } } }

Docker (any stdio MCP client)

Use this server entry instead of the uvx entry:

{

"command": "docker", "args": ["run", "-i", "--rm", "ghcr.io/asopitech-labs/global-executables-mcp:latest"] }

The image is public and contains the server, but not a stale copy of the dataset.

3. Ask your agent

Try one of these prompts:

Is the command name `envc` already taken? Check similar names too.
Check `envc`, `evcr`, `evpk`, and `envcp` as possible CLI names. Do not show

rejected candidates; explain the dataset coverage for the survivors.

Which package provides the `ruff` executable, and how should I install it in a

Python 3.12 project virtual environment?

The agent will normally call check_executables for a batch and search_similar_executables for the candidates that remain.

[!IMPORTANT]

found: true means a collision. found: false means only that the current

snapshot contains no match. When status is unknown, partial source coverage

means the name is not proven to be available. Read warnings,

absence.confidence, and coverage_scope before adopting a name.

How it works

Snapshot lookups fetch only the public dictionary branch files a query needs, cache them in the current user's cache directory, and revalidate them with ETag. Cached files remain usable when the network is temporarily unavailable.

RequirementDetails
AuthenticationNone
Local datasetNot required
Default transportstdio
Data accessOn-demand HTTPS from the public dictionary branch
Writes or command executionLookup never executes software; verified discovery can reserve a Git branch only on a configured runner
Supported Python3.11+ (handled automatically by uvx)
VariableEffect
GLOBAL_EXECUTABLES_DATASET_ROOTuse a local checkout of the dictionary branch instead of HTTPS
GLOBAL_EXECUTABLES_CACHE_DIRcache location (default ~/.cache/global-executables, ~/Library/Caches/global-executables, or %LOCALAPPDATA%\global-executables\Cache)
GLOBAL_EXECUTABLES_OFFLINE=1serve only cached files, never touch the network

uvx global-executables mcp --help lists the same options as flags. The package is published to PyPI from release 1.3.0. See the MCP guide for HTTP transport, offline operation, and running from a source checkout.

MCP tools at a glance

ToolUse it when you want to…
check_executablecheck one exact, case-sensitive command name
check_executablescheck several naming candidates in one call (recommended)
get_executableretrieve providers and provenance for a known command
search_executablessearch by prefix, length, ecosystem, or scope
search_similar_executablesfind names that may be confused with a candidate
get_coverageinspect source coverage, freshness, and warnings
assess_executable / assess_executablesadd freshness, activity, popularity, and collision-risk signals
resolve_installation / resolve_installationsderive environment-specific install and invoke guidance
discover_published_packageverify commands declared by one current npm or PyPI release

Snapshot lookup tools are read-only. discover_published_package makes bounded live registry and artifact requests without executing package code. On a designated runner configured with Git write access, successful verification also reserves an immutable intake/ branch for central revalidation. The result reports reservation.status; an unconfigured copy reports unavailable and does not claim publication. Neither MCP nor CLI writes the published dictionary directly. The repository's Verify and reserve published package discovery GitHub Actions workflow is the designated runner; it invokes both CLI and MCP before the collector. Installation resolvers return instructions; they never install or execute software. Full inputs and result contracts are documented in the MCP guide.

The scheduled intake collector validates and rechecks reserved evidence before merging it into artifact-data. The regular refresh remains the only writer of the dictionary branch. See the MCP guide for runner configuration and the reservation lifecycle.

Supported ecosystems

FamilySourcesTypical executable evidence
System packagesDebian, Ubuntu, Arch LinuxInstalled package file lists
macOS packagesHomebrewFormula metadata and package contents
Language registriesnpm, PyPI, crates.io, Go modules, RubyGems, PackagistDeclared bins, entry points, or executable targets
C and C++ recipesConanCenter, vcpkg, xmake-repoBuilt file lists, tool declarations, or marked binary packages

Every provider keeps its source and a confidence level (direct, filesystem, or inferred). Coverage differs by ecosystem, so negative results carry explicit coverage metadata instead of pretending that every registry is exhaustive. See Data Sources for collection details and coverage and freshness for the result contract.

Documentation map

If you want to…Start here
Connect an MCP client or use HTTP transportMCP access and agent integration
Configure Codex step by stepCodex MCP tutorial
Verify a clean source checkoutSetup and verification
Understand records, indexes, and schemasData model
Review collection scope and attributionData sources
Operate or contribute to the data pipelineOperations

Troubleshooting

The client says uvx was not found

Install uv, confirm that uvx --version works in a new terminal, and restart the MCP client so it receives the updated PATH. If the client uses a restricted environment, set the configuration's command to the absolute path reported by command -v uvx (macOS/Linux) or where uvx (Windows).

Only the beginning is shown; read the rest in the repo

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