Omni Nli MCP server
io.github.CogitatorTech/omni-nli·v0.1.1·3 starsAn MCP server for natural language inference
3 stars17 downloads/wk
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Omni Nli tools
No tool declarations could be read from the package source. They show once the server is installed.
Public scan report
scanner v0.1.10 · 2026-09-28 · same rubric, same numbers if you re-run it
- Code scan19 source files scanned25/25
- –Live reliabilityno gateway calls yet and no remote to proben/a
- –Tool poisoningtools not inspected (local package is not executed); not countedn/a
- Auth qualitylocal package, no credentials required12/15
- Maintenancelast push 217 days ago4/15
- Maintainer identityregistry namespace matches repository owner; GitHub account older than a year9/10
How Omni Nli compares
Against every graded MCP server, from our own scans and uptime checks. Updated after each scan run.
- Safety score
- 77/100
- higher than 50% of 48,255 servers
- GitHub stars
- 3
- more than 80% of 28,688 servers
- Downloads a week
- 17
- more than 5% of 12,191 servers with a package
Install Omni Nli in Claude Code, Cursor or VS Code
claude mcp add omni-nli -- uvx omni-nli
What the publisher says
From the Omni Nli repository's README, as published. We do not edit it. Read it on GitHub
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:
from a chatbot or AI assistant contradicts something that was said earlier in the conversation.
- 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
- 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
Shortened. The full README is on GitHub.
Nothing above is checked by us. What we check is on the safety report.
Omni Nli: common questions
- Is Omni Nli MCP server safe?
- Mostly: it is graded B (77/100). Read the Omni Nli safety report
- How do I install Omni Nli?
- It runs on your machine. Copy the Claude Code, Cursor, VS Code or Claude Desktop config from the install section.
- Does Omni Nli need an API key?
- Not as far as the registry entry and our scan can tell: no credentials are declared or required.
- Is Omni Nli maintained?
- The last commit was 254 days ago (2026-02-23). The latest release is v0.1.1.
- How does Omni Nli compare with other MCP servers?
- safety score 77/100 (higher than 50% of 48,255 servers); github stars 3 (more than 80% of 28,688 servers); downloads a week 17 (more than 5% of 12,191 servers with a package). Full comparison.