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

GoModel

by ENTERPILOTversion 0.2.1i★ –iRuns on your computer
Registry nameio.github.ENTERPILOT/gomodel

Install

Overview

Description from the maker (original English)

Self-hosted gateway aggregating upstream MCP servers behind one authenticated HTTP endpoint.

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: Streamable HTTP
  • Category: Other
  • You need to fill in: GOMODEL_MASTER_KEY

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: GOMODEL_MASTER_KEY, MCP_SERVERS

Values marked secret are keys to your account. Never share them or paste them into a chat.

You need

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": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GOMODEL_MASTER_KEY",
        "-e",
        "MCP_SERVERS",
        "docker.io/enterpilot/gomodel:0.2.1"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "your-value",
        "MCP_SERVERS": "your-value"
      }
    }
  }
}

Run this in your terminal

claude mcp add gomodel --env GOMODEL_MASTER_KEY=your-value --env MCP_SERVERS=your-value -- docker run -i --rm -e GOMODEL_MASTER_KEY -e MCP_SERVERS docker.io/enterpilot/gomodel:0.2.1

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": {
    "gomodel": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GOMODEL_MASTER_KEY",
        "-e",
        "MCP_SERVERS",
        "docker.io/enterpilot/gomodel:0.2.1"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "your-value",
        "MCP_SERVERS": "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": {
    "gomodel": {
      "type": "stdio",
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "-e",
        "GOMODEL_MASTER_KEY",
        "-e",
        "MCP_SERVERS",
        "docker.io/enterpilot/gomodel:0.2.1"
      ],
      "env": {
        "GOMODEL_MASTER_KEY": "your-value",
        "MCP_SERVERS": "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

  • GOMODEL_MASTER_KEY secret env
    Gateway API key clients authenticate with; unset runs the gateway in unsafe (no-auth) mode.
  • MCP_SERVERS env
    JSON object of upstream MCP servers to aggregate, e.g. {"github":{"url":"https://api.githubcopilot.com/mcp/","headers":{"Authorization":"Bearer ${GITHUB_PAT}"}}}. Servers can also be declared in conf…

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account ENTERPILOT, 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 32433 servers in this category
  • Published to the registry more recently than 83% of the other 32433 servers in this category
  • Basic checks equal to or better than 100% of the other 32433 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 GoModel 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?

You need to fill in: GOMODEL_MASTER_KEY

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 (0.2.1) reached the registry 7 days ago.

Which apps can use it?

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

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, Symantec Cloud DLP AIops

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
Install

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 yesterday
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.

GoModel - The last AI gateway you will ever need

GoModel is the fastest and the most resource-efficient AI Gateway ( the self-reproducible benchmarks ). It's an alternative to LiteLLM (which was hacked recently) and Portkey (which is no longer maintained on GitHub).

(click on the animation ↑ to see the live demo)

GoModel saves you money and nerves.

Money - because you can remember the responses on this layer (caching), track your spending and do tricks like prompt compression and intelligent routing.

Nerves - because we strive to achieve good quality and reliability. Our ambition is to be the last AI gateway you will need - the most reliable, resource-optimal, feature-rich and fast.

Quick Start

Step 1: Install and start GoModel

Docker

docker run --rm -p 8080:8080 \

-v gomodel_data:/app/data \ enterpilot/gomodel

macOS / Linux

curl -fsSL https://gomodel.enterpilot.io/install.sh | sh

OPENAI_API_KEY="your-openai-key" # (optional)

gomodel

Windows (PowerShell)

irm https://gomodel.enterpilot.io/install.ps1 | iex

$env:OPENAI_API_KEY = "your-openai-key" # (optional)

gomodel

ℹ️ Configure GoModel with .env, a config.yaml file, or manage the most important settings directly in the dashboard.

ℹ️ See .env.template for the complete list of environment variables, including all available providers.

Step 2: Open the dashboard and add a provider

http://localhost:8080/admin/dashboard

Step 3: Make an API call

curl http://localhost:8080/v1/responses \

-H "Content-Type: application/json" \ -d '{ "model": "gpt-5-chat-latest", "input": "Hello!" }'

GoModel and official SDKs

GoModel accepts requests in two compatible formats:

  • OpenAI-compatible at /v1
  • Anthropic-compatible at /v1/messages

The official SDKs therefore work unchanged. Configure their base URLs as follows:

  • OpenAI SDK: http://localhost:8080/v1
  • Anthropic SDK: http://localhost:8080 (the SDK appends /v1/messages)

List of Supported LLM Providers

  • OpenAI
  • Anthropic
  • xAI (Grok)
  • Google Gemini
  • Cohere
  • Vertex AI
  • DeepSeek
  • Groq
  • Fireworks AI
  • Together AI
  • Meta (Muse Spark)
  • OpenRouter
  • Z.ai
  • Alibaba Cloud Model Studio (Bailian)
  • Kilo AI
  • Eden AI
  • MiniMax
  • Xiaomi MiMo
  • OpenCode Go
  • Azure OpenAI
  • Oracle
  • Ollama
  • SGLang
  • vLLM
  • llm-d
  • Amazon Bedrock Runtime and Bedrock Mantle
  • ChatGPT (the Codex backend) and Claude
  • GitHub Copilot
  • ElevenLabs (text-to-speech and speech-to-text)
  • Jev (TypeSafe System One decision API) and self-hosted Kev, also behind OpenAI's Decisions API
  • All OpenAI-compatible providers

See the Providers Overview for the full per-provider feature matrix.


Docker Compose

Infrastructure only (Redis, PostgreSQL, MongoDB, Adminer - no image build):

cp .env.template .env

Add your API keys to .env

docker compose up -d

or: make infra

Full stack (adds GoModel + Prometheus; builds the app image):

docker compose --profile app up -d

or: make image


API docs


Gateway Configuration

GoModel resolves configuration in the following order, with each source overriding those to its left:

Good defaults → config.yaml → .env → exported environment variables

See the Configuration reference for the full list of settings.


Features

  • Caching - exact and semantic response caching, so repeated prompts cost nothing
  • Cost tracking - per-request cost estimates, usage analytics, and spending breakdowns in the dashboard
  • Budgets - hard spend limits per user, team, or key
  • Rate limits - requests, tokens, and concurrency caps per user path, provider, or model
  • Usage API - clients check their own usage, remaining budget, and rate-limit headroom with the key they already use for inference
  • Virtual models - aliases and load balancing (round-robin or cost-based) behind stable model names
  • Session keeping - detect a client session and pin it to one target and provider key, so provider prompt caches stay warm and audit logs read as threads
  • Failover - automatic rerouting to backup providers, with retries and circuit breakers
  • Labelling - tag requests from HTTP headers or API keys and break down usage by label
  • User paths - hierarchical scoping of keys, model access, budgets, usage, and audit logs
  • Model access control - per-group, per-user, and per-key model allowlists that intersect down the user-path tree
  • MCP gateway - aggregate your MCP servers behind one authenticated endpoint
  • Passthrough API - provider-native APIs under /p/{provider}/..., with GoModel auth and tracking
  • Audio and image APIs - OpenAI-compatible text-to-speech, transcription, and image generation and editing with the same access rules, budgets, and cost tracking as chat
  • Provider replay state - preserves Gemini thought signatures and Anthropic thinking blocks across turns, APIs, and providers
  • Guardrails - request and response policies enforced at the gateway
  • Plugins - one contract for guardrails, response and stream filters, header edits, and routing strategies; built in, compiled in, or loaded from a .so at startup
  • Workflows - versioned per-request policies that scope cache, budgets, audit logging, guardrail phases, and failover by user path, provider, or model
  • Provider key rotation - round-robin over multiple API keys to lift per-key rate limits
  • Observability - Prometheus metrics, OpenTelemetry traces, audit logs, and live request streaming in the dashboard
  • Playground - try any model or virtual model from the dashboard and inspect the exact request and response JSON

GoModel Pro

GoModel Pro is the commercial build: the same gateway, configuration, and dashboard, with licensed extensions.

  • Prompt compression - remove repeated and structural context before it reaches the provider, without changing the request shape
  • Intelligent routing - classify each request as easy or hard, then pick the healthiest and cheapest provider in that tier
  • OIDC single sign-on - protect the dashboard with your identity provider using Authorization Code flow with PKCE

More in the documentation...

Not ready for Pro? Sponsor GoModel to keep the open-source gateway moving.

Roadmap

See the roadmap for GoModel Pro and the upcoming 0.3.0 release.

Featured Sponsors

Goal: $1K/month - ~15% achieved!

If GoModel saves you money or time, become a sponsor or try GoModel Pro.

Community

We are on Discord. Feel free to stop by and tell us what you think about GoModel.

Ask PopNx