Prototype · Preview: every server in the official registry, synced every 30 minutes. Reviews and accounts come in a later step.
PopNx MCPMCP servers for people who use AI · explained in plain words

LLM CLI Gateway

by verivus-ossversion 1.17.1i★ –iRuns on your computer
Registry nameio.github.verivus-oss/llm-cli-gateway

Install

Overview

Description from the maker (original English)

One MCP endpoint for Claude Code, Codex, Gemini, Grok and Mistral CLIs, with durable async jobs.

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: 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.

You need

  • npmNode.js installed (for the npx 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": {
    "llm-cli-gateway": {
      "command": "npx",
      "args": [
        "-y",
        "llm-cli-gateway"
      ]
    }
  }
}

Run this in your terminal

claude mcp add llm-cli-gateway -- npx -y llm-cli-gateway

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "llm-cli-gateway": {
      "command": "npx",
      "args": [
        "-y",
        "llm-cli-gateway"
      ]
    }
  }
}

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": {
    "llm-cli-gateway": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "llm-cli-gateway"
      ]
    }
  }
}

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 verivus-oss, 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 Search & AI memoryi

  • More stars than 0% of the other 7271 servers in this category
  • Published to the registry more recently than 14% of the other 7271 servers in this category
  • Basic checks equal to or better than 100% of the other 7271 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 LLM CLI Gateway 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 (1.17.1) reached the registry 5 months ago.

Which apps can use it?

Apps that support MCP, such as Claude Desktop, Claude Code, Cursor and VS Code. You also need Node.js 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:★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

Context7

by upstash

Feeds AI the latest docs for libraries and frameworks before it answers, so code it writes does not use outdated, removed functions.

Computer or cloud★ 64,224MITUpdated yesterday
Install

Codebase Memory

by DeusData

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

Runs on your computer★ 48,148MITUpdated 21 days ago
Install

Exa

by exa-labs

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

Runs in the cloud★ 5,213MITUpdated last month
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.

llm-cli-gateway

_"Without consultation, plans are frustrated, but with many counselors they succeed."_

— Proverbs 15:22 (LSB)

Secure local control plane for AI coding agents.

llm-cli-gateway lets supported MCP clients operate Claude Code, Codex, Gemini/Antigravity, Grok Build, Mistral Vibe, Cognition Devin, Cursor Agent, and configured HTTP API providers through one user-owned gateway while preserving native CLI sessions, local credentials, durable async jobs, validation receipts, and review workflows.

Why developers try it: use the client you are already in to delegate work to local coding agents, scope remote execution to registered workspaces, gate risky actions, survive disconnects, and collect auditable review evidence without turning those agents into a generic chat proxy.

Current signals: CI and security workflows pass on main, OpenSSF Scorecard is published, OpenSSF Best Practices is passing, releases use Sigstore signing, and the package is MIT licensed.

Quick Start

npm install -g llm-cli-gateway

Or use directly with npx from an MCP client:

{

"mcpServers": { "llm-gateway": { "command": "npx", "args": ["-y", "llm-cli-gateway"] } } }

What It Provides Today

llm-cli-gateway is a single-user MCP control plane for operating AI coding agents from supported local or remote clients. It is more than a thin CLI wrapper:

  • Runs registered provider CLIs and configured HTTP API providers through consistent sync and async MCP tools.
  • Persists long-running jobs, supports restart-safe result collection, deduplication, cancellation, and sync-to-async deferral.
  • Tracks sessions, real CLI resume paths, structured response metadata, and cache telemetry.
  • Supports cache-aware promptParts, including explicit Claude cache_control when opted in.
  • Can run supported provider requests inside gateway-managed git worktrees for isolated multi-agent review and implementation loops with either the local file-backed or PostgreSQL session manager. Session-bound reuse and cleanup remain limited to the host that owns the filesystem artifact, even when PostgreSQL shares the session row across hosts. After session deletion, session_clear_all, or file-backed TTL eviction, both session managers retain a failed cleanup for retry by the host that owns the worktree. Deletion processed from another host removes no worktree and leaves that record intact. The database-side cleanup_expired_sessions function stages the same record instead of deleting a worktree-bearing session; it invokes no gateway observer and so attempts no removal itself. Grok, Devin, and Mistral require an explicit provider-native sessionId for a gateway worktree; fresh, createNewSession, and resumeLatest-only worktree requests fail closed because they cannot durably reselect it. Materialization suppresses repository, system, and global Git hooks, configured clean, smudge, and process checkout filters, sparse checkout, and lazy object fetching. Filter-dependent content such as Git LFS remains in its repository representation instead of executing host commands.
  • Ships personal-appliance setup surfaces: HTTP transport with bearer-token auth, doctor --json, setup UI artifacts, provider setup snippets, Docker fallback, and checked release bundles.
  • Remote web connectors use MCP OAuth discovery and authorization-code setup with static client or shared-secret gates. Client secrets are generated locally, stored only as hashes, and printed only by explicit copy-once commands.
  • Provider CLI requests can select registered workspaces by alias via workspace; every HTTP/tunnel request must use a registered alias, session workspace, or [workspaces].default before provider execution. Local unrestricted filesystem access is the stdio transport.

Workflow Assets

The repo ships agent-ready workflow skills under .agents/skills for async orchestration, session continuity, multi-LLM review, implement-review-fix loops, retrospective evidence walks, secure approval-gated dispatch, and Personal Agent Config Kit operations. Nine caller-facing skills are bundled in the published npm package: async-job-orchestration, multi-llm-review, session-workflow, secure-orchestration, implement-review-fix, retrospective-walk, public-demo-session, least-cost-routing, and personal-agent-config-kit. Machine-readable DAG-TOML plans live under docs/plans and setup/install-plan.dag.toml for workflows that need deterministic sequencing and verification gates.

Skill packs can be updated outside the core npm release by placing skill directories in local, operator-controlled paths. The gateway loads bundled skills first, then [skills].paths, then LLM_GATEWAY_SKILLS_PATH, then ~/.llm-cli-gateway/skills when it exists; later roots override earlier skills by name. Each skill is a directory containing SKILL.md. A root may also carry skill-pack.json to pin expected SKILL.md hashes:

[skills]

paths = ["/opt/llm-cli-gateway/skills"]

export LLM_GATEWAY_SKILLS_PATH="/opt/team-skill-pack:/opt/incident-skill-pack"
{

"name": "team-pack", "version": "1.0.0", "skills": [ { "name": "incident-retrospective", "sha256": " " } ] }

The loader is intentionally local-only: it never fetches remote Markdown at startup. To update a pack, install or replace files through your package manager or deployment system, then restart the gateway so the advertised skills://... resources refresh.

The next documentation focus is provider-specific skill and DAG-TOML pairs for each outbound CLI and API-provider family: Claude, Codex, Gemini/Antigravity, Grok, Mistral Vibe, Devin, Cursor Agent, OpenAI-compatible endpoints, Anthropic Messages, and xAI Responses. The implementation plan is tracked in docs/plans/provider-workflow-assets.dag.toml, with each provider asset expected to cover install/login checks or token-env checks, session behavior, approval modes, cache/telemetry surfaces, failure modes, and a smoke-test gate.

Trust & Supply Chain

  • CI runs build, lint, format, tests, package checks, and npm audit.
  • Security CI runs actionlint, zizmor, shellcheck, typos, osv-scanner, gitleaks, and lychee.
  • GitHub release installer artifacts are checksummed and signed with Sigstore keyless signing.
  • npm releases use a generated prod-only shrinkwrap and release security audit; GitHub Actions Trusted Publishing exchanges the job's OIDC identity for short-lived npm publish credentials.
  • The npm package intentionally ships a generated, prod-only npm-shrinkwrap.json so registry installs resolve the audited release tree. Release gates regenerate it from package-lock.json, compare for parity, and run a registry-fidelity consumer install before publishing.
  • Socket behavioural alerts are documented in socket.yml and under "Security Considerations" below. shellAccess and shrinkwrap are reviewed package capabilities/configuration for this CLI appliance, not hidden install behaviour.

Personal MCP Appliance

The personal-appliance contract keeps that surface intentionally narrow: one trusted user runs the gateway on a machine or volume they own, connects one MCP endpoint, and lets supported clients operate local coding agents through workspace-scoped, approval-gated, auditable requests.

The product contract is documented in docs/personal-mcp/PRODUCT_CONTRACT.md. It defines the single-user scope, security posture, target support matrix, and provider-support verification gates. Public setup guides must not claim ChatGPT, Claude web, Claude Desktop, Codex, Gemini CLI, Gemini web, or Grok inbound support until the corresponding provider/client path has been verified.

This project does not provide hosted multi-tenant credential custody. Provider credentials stay on the user's machine or user-owned deployment volume.

For a single developer who works on several workstations and repositories, the Personal Agent Config Kit guide explains the Git-synchronised personal baseline, repository overlays, immutable context stamps, and workstation-safe provider continuity model. The baseline directory is confined to a non-symlinked descendant of the local home directory, and every publish or sync revalidates its configured origin fetch and push URLs against the HTTPS/SSH-only policy. The Kit is intentionally local-caller-only; Kit provider execution and recovery of an unadmitted attempt require healthy durable SQLite or PostgreSQL async-job admission. Kit mode supports Claude, Codex, and Mistral; every other provider fails closed while it is enabled. Kit scope never inherits the gateway process cwd: Claude and Mistral require a registered workspace selection or configured default, while Codex can also use an explicit absolute workingDir. Relative Kit workingDir values are rejected before filesystem or Git inspection. It disables cross-model validation tools while enabled and is not an HTTP/OAuth configuration or remote execution feature.

For a retention-pinned non-Kit Claude MCP request configuration, follow the local-only same-host recovery procedure. It accepts no SQL or arbitrary-path override. A valid recovery invocation emits JSON and exits 0 after success or 2 for a safe refusal; invalid usage or unavailable durable storage exits 1.

Release-readiness history is tracked in docs/personal-mcp/RELEASE_READINESS.md. Dogfooding evidence (which target LLMs guided setup, what unsafe suggestions were captured, and which findings were deferred from the initial personal-appliance rollout) is in docs/personal-mcp/DOGFOODING_RESULTS.md.

Current personal-appliance artifacts include:

  • Streamable HTTP startup: LLM_GATEWAY_AUTH_TOKEN= npm run start:http
  • Machine-readable diagnostics: npm run doctor
  • Go bootstrapper: installer/ with setup, doctor --json, start, stop, status, repair, upgrade, uninstall, print-client-config, and verified bundle download commands.
  • Release packaging: on the public mirror, the release workflow builds Linux binaries on GitHub-hosted ubuntu-latest and builds Windows/macOS binaries on their GitHub-hosted platform runners. The private upstream uses its internal self-hosted Linux runner. Each release publishes checksummed platform bundles with the gateway, production dependencies, and a managed Node runtime; see installer/packaging/README.md.
  • Docker Compose fallback: docker/personal.compose.yml + [docke

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

Ask PopNx