An MCP server for natural language inference
Omni MCP server is a locally run integration for AI assistants that speak the Model Context Protocol. An MCP server for natural language inference.
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:
Once Omni is connected, these are the calls the assistant has available:
Quickstart — The Quickstart tool exposed by this serverDocumentation — Check out the Omni-NLI Documentation for more information, including configuration options, APIContributing — Contributions are always welcome! Please see CONTRIBUTING.md for details on how to get startedAcknowledgements — The Acknowledgements tool exposed by this serveromni-nli on PyPI is all you need. Most clients run it directly, so configuration is a few lines and a restart.
Among the knowledge and memory options, the useful question is rarely "what can it do" but "what does it cost you to run" — permissions, credentials, and how much of your context its toolset consumes. Omni's toolset — Quickstart, Documentation, Contributing and 1 more — is a fair guide to whether it matches your workflow. It is maintained by CogitatorTech; worth a glance at recent repository activity before you build anything load-bearing on it.
SyncDev reviews every entry in this directory against the project's own documentation before publishing, and revisits them as servers change.
| Tool | What it does |
|---|---|
| Quickstart | The Quickstart tool exposed by this server. |
| Documentation | Check out the [Omni-NLI Documentation](https://cogitatortech.github.io/omni-nli/) for more information, including configuration options, API reference, and examples. |
| Contributing | Contributions are always welcome! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to get started. |
| Acknowledgements | The Acknowledgements tool exposed by this server. |
{
"mcpServers": {
"omni-nli": {
"command": "uvx",
"args": ["omni-nli"]
}
}
}Add to claude_desktop_config.json, then restart Claude Desktop.
A knowledge graph your assistant keeps between sessions — entities, relations and observations that persist.
Kill hallucinated APIs — version-accurate, up-to-date library documentation injected straight into context.
Your workspace, on speaking terms with AI — search, read and write Notion pages and databases.
A structured scratchpad for hard problems — stepwise reasoning with revisions, branches and visible logic.
Symbol-level code navigation, refactoring and memory for coding agents — the IDE brain your assistant has been missing.
Chat with your second brain — search, read and write vault notes through the Local REST API.