Omni-NLI is a self-hostable server that provides natural language inference (NLI) capabilities via RESTful and Model Context Protocol (MCP) interfaces.
From the registry: An MCP server for natural language inference
$ pip install omni-nli[huggingface]$ omni-nliPlease install the `omni-nli` MCP server into my current AI client (that's you).
Required prerequisites (do these first if not already done):
- **Install omni-nli** — Install via pip with a backend extra (e.g., huggingface). Run: `pip install omni-nli[huggingface]`
- **Start the server** — Run the omni-nli CLI to launch the server on port 8000. Run: `omni-nli`
Canonical MCP server config (HTTP transport):
- url: `http://127.0.0.1:8000/mcp/`
Note: Exposes both REST and MCP. Supports Ollama, HuggingFace, and OpenRouter backends.
Add this MCP server to my current client's config in the correct format for you. If you need secrets or credentials I haven't provided, ASK me — do not invent values or leave raw placeholders. After adding it, tell me how to verify the server is connected.AI orchestration with hive-mind swarms, neural networks, and 87 MCP tools for enterprise dev.
Persistent codebase knowledge graph. Survives session restarts and context compaction.
A powerful toolkit for coding, providing semantic retrieval and editing capabilities.