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Omni Nli

by CogitatorTechversion 0.1.1i★ –iRuns on your computer
Registry nameio.github.CogitatorTech/omni-nli

Install

Overview

Description from the maker (original English)

An MCP server for natural language inference

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.

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

  • 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": {
    "omni-nli": {
      "command": "uvx",
      "args": [
        "omni-nli"
      ]
    }
  }
}

Run this in your terminal

claude mcp add omni-nli -- uvx omni-nli

Open in Cursor

Or copy the settings yourself

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

{
  "mcpServers": {
    "omni-nli": {
      "command": "uvx",
      "args": [
        "omni-nli"
      ]
    }
  }
}

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": {
    "omni-nli": {
      "type": "stdio",
      "command": "uvx",
      "args": [
        "omni-nli"
      ]
    }
  }
}

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 9, 2026

  • ✓ Pass

    Maker matches the repo

    The registry name was verified with the GitHub account CogitatorTech, 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 18669 servers in this category
  • Published to the registry more recently than 2% of the other 18669 servers in this category
  • Basic checks equal to or better than 100% of the other 18669 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 Omni Nli 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 (0.1.1) reached the registry 9 months 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) on your computer.

What can I use instead?

In the same category: Spec Driven Development, Remote Desktop Commander, CLIO Paraview

Alternatives

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Reading a card:↓ Downloads per weeki★ GitHub starsiThree pillars: reviews · checks · usageiUpdated = latest version published to the registryi

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by formulahendryEarly↓ 66/wk★ 440Updated 14 months ago

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Remote Desktop Commander

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

by desktop-commanderGrowing★ 211Updated 4 days ago

Runs in the cloud✓ desktopcommander.app

CLIO Paraview

Visualize simulation results in ParaView: load fields, then slice, contour, color and render them.

by iowarpGrowing↓ 3.5K/wkUpdated today

Runs on your computer

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.

Omni-NLI

A multi-interface (REST and MCP) server for natural language inference


Omni-NLI is a self-hostable server that provides natural language inference (NLI) capabilities via RESTful and the Model Context Protocol (MCP) interfaces. It can be used both as a very scalable standalone stateless microservice (via the REST API) and also as an MCP server for AI agents to implement a verification layer for AI-based applications.

What is NLI?

Given two pieces of text called premise and hypothesis, NLI (AKA textual entailment) is the task of determining the directional relationship between them as it is perceived by a human reader. The relationship is given one of these three labels:

  • "entailment": the hypothesis is supported by the premise
  • "contradiction": the hypothesis is contradicted by the premise
  • "neutral": the hypothesis is neither supported nor contradicted by the premise

[!IMPORTANT]

NLI is not the same as logical entailment.

Its goal is to determine if a reasonable human would consider the hypothesis to follow from the premise.

This checks for consistency instead of the absolute truth of the hypothesis.

Typical applications of NLI include:

  • NLI can be used to check if a given piece of text is consistent with the rest of the text. For example, if a new response from a chatbot or AI assistant contradicts something that was said earlier in the conversation.
  • It can be used to check if a summarization contradicts the original text in some way.
  • It can be used to check if the documents in the ranked list of results entail the query.
  • It can be used to check if a piece of text is supported by some facts. Note that this is not the same as using logic.

[!IMPORTANT]

The quality of the results depends a lot on the model (the LLM) that is used.

A good strategy is to first fine-tune the model using a dataset of premise-hypothesis-label triples that are relevant to your application domain.

Main Features of Omni-NLI
  • Helps mitigate LLM hallucinations by verifying if the generated content is supported by facts
  • Supports models provided by different backends, including Ollama, HuggingFace (public and private/gated models), and OpenRouter
  • Supports REST API (for traditional applications) and MCP (for AI agents) interfaces
  • Fully configurable and very scalable, with built-in caching
  • Provides confidence scores and (optional) reasoning traces for explainability

See ROADMAP.md for the list of implemented and planned features.

[!IMPORTANT]

Omni-NLI is in early development, so bugs and breaking changes are expected.

Please use the issues page to report bugs or request features.


Quickstart
1. Installation
pip install omni-nli[huggingface]
2. Start the Server
omni-nli
3. Evaluate NLI (with REST API)
curl -X POST \

-H "Content-Type: application/json" \ -d '{ "premise": "A football player kicks a ball into the goal.", "hypothesis": "The football player is asleep on the field." }' \ http://127.0.0.1:8000/api/v1/nli/evaluate

Example response:

{

"label": "contradiction", "confidence": 0.99, "model": "microsoft/Phi-3.5-mini-instruct", "backend": "huggingface" }

4. Evaluate NLI (with MCP Interface)

Documentation

Check out the Omni-NLI Documentation for more information, including configuration options, API reference, and examples.


Contributing

Contributions are always welcome! Please see CONTRIBUTING.md for details on how to get started.

License

Omni-NLI is licensed under the MIT License (see LICENSE).

Acknowledgements
  • The logo is from SVG Repo with some modifications.
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