Last updated
March 16, 2026
MCP profile
Github CogitatorTech Omni Nli
An MCP server for natural language inference
AI & Machine LearningPackagePythonOpen SourceExternal
Visibility
Public
ByRegistry
About This MCP Server
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.
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:
> 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:
from a chatbot or AI assistant contradicts something that was said earlier in the conversation.
> 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.
Capabilities
Helps mitigate LLM hallucinations by verifying if the generated content is supported by factsSupports models provided by different backends, including Ollama, HuggingFace (public and private/gated models), and OpenRouterSupports REST API (for traditional applications) and MCP (for AI agents) interfacesFully configurable and very scalable, with built-in cachingProvides confidence scores and (optional) reasoning traces for explainability
Why Use Github CogitatorTech 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
Specifications
Status
live
Industry
AI & Machine Learning
Category
General
Server type
Package
Language
Python
License
Open Source
Verified
Yes
Hosting
Hosting Options
- Package
API
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1
Install
Install command
Python
pip install omni-nli[huggingface]Performance
Usage
Quick Reference
- Name
- Github CogitatorTech Omni Nli
- Function
- An MCP server for natural language inference
- Transport
- Package
- Language
- Python
- Install
- pip install omni-nli[huggingface]
- Source
- External (Registry)
- License
- Open Source
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