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PopNx MCPMCP servers for people who use AI · explained in plain words

Localmodels

by CloudCorpRecordsversion 0.1.0i★ –iRuns on your computer
Registry nameio.github.CloudCorpRecords/localmodels

Install

Overview

Description from the maker (original English)

Talk to a local Ollama server: list, pull, inspect, generate, chat and embed.

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: Chat & email

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": {
    "localmodels": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/localmodels",
        "mcp"
      ]
    }
  }
}

Run this in your terminal

claude mcp add localmodels -- npx -y @reneturcios/localmodels mcp

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "localmodels": {
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/localmodels",
        "mcp"
      ]
    }
  }
}

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": {
    "localmodels": {
      "type": "stdio",
      "command": "npx",
      "args": [
        "-y",
        "@reneturcios/localmodels",
        "mcp"
      ]
    }
  }
}

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 6, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CloudCorpRecords, 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 Chat & emaili

  • More stars than 0% of the other 1766 servers in this category
  • Published to the registry more recently than 83% of the other 1766 servers in this category
  • Basic checks equal to or better than 100% of the other 1766 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 Localmodels 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 (0.1.0) reached the registry 4 days 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, Docker on your computer.

What can I use instead?

In the same category: Vexa, emailmd, MCP WhatsApp Cloud

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

Vexa

by Vexa-ai

Meeting bot and transcripts for Google Meet, Teams and Zoom. Live or after, speakers labelled.

Runs in the cloud★ 2,949Apache-2.0Updated 2 months ago
Install

emailmd

by anypost

Render markdown into email-safe HTML, lint drafts for deliverability problems, and preview emails.

Computer or cloud★ 1,385MITUpdated 31 days ago
Install

MCP server for WhatsApp Cloud API (Meta) — messages, media, and templates via Graph API

Runs on your computer★ 277MITUpdated 5 months ago
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.

localmodels

localmodels puts a locally running Ollama server behind an MCP interface (with a matching CLI). List what is installed, pull or remove models, inspect one, then generate, chat, or embed — all against models that run on your own machine.

There is no API key and no account. The server address comes from OLLAMA_HOST and defaults to http://127.0.0.1:11434. A value without a scheme gets http:// in front of it, and trailing slashes are ignored. If no Ollama server is reachable, calls fail with the underlying connection error — they never invent an empty result.

Install

npx @reneturcios/localmodels list

docker run -i ghcr.io/cloudcorprecords/localmodels

In a container, point OLLAMA_HOST at the host (for example with host networking), since 127.0.0.1 inside the container is the container itself.

CLI

localmodels list

localmodels show llama3.2 localmodels pull qwen2.5 localmodels delete old:model localmodels copy llama3.2 my-llama localmodels generate llama3.2 "Write a haiku about autumn" localmodels chat llama3.2 "Hello!" localmodels embed nomic-embed-text "some text to embed" localmodels running localmodels version localmodels --version

Exit codes: 0 success, 1 server/lookup error, 2 usage error.

MCP server

npx -y @reneturcios/localmodels mcp
{

"mcpServers": { "localmodels": { "command": "npx", "args": ["-y", "@reneturcios/localmodels", "mcp"], "env": { "OLLAMA_HOST": "http://127.0.0.1:11434" } } } }

The env block is optional; the default address is used without it.

Tools
ToolInputUpstream route
list_models—GET /api/tags
show_modelmodelPOST /api/show
pull_modelmodelPOST /api/pull (stream: false)
delete_modelmodelDELETE /api/delete
copy_modelsource, destinationPOST /api/copy
generate_completionmodel, prompt, system (optional)POST /api/generate (stream: false)
chat_completionmodel, messages (array of {role, content})POST /api/chat (stream: false)
create_embeddingmodel, inputPOST /api/embed
list_running_models—GET /api/ps
get_version—GET /api/version

Development

npm install

npm run build npm test npm run dev

Tests run entirely on fake-fetch fixtures; no live Ollama server is required or contacted.

License

MIT — see LICENSE.

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