# mcp-local-semantics

> mcp-local-semantics — ketankshukla-mcp-local-semantics. Use this tool when you need to perform efficient semantic searches, comparisons, clustering, or zero-shot classification on local data without incurring API round trip delays. It exposes local embedding tools, allowing agents to call them in a loop, and features caching for significantly improved performance, such as reducing search times from 1040ms to 1.2ms. Ideal for applications requiring rapid semantic analysis, this tool integrates with PyTorch and sentence-transformers via the MCP Python SDK v2.

Canonical page: https://skillsregistry.net/skills/ketankshukla-mcp-local-semantics  
JSON: https://api.skillsregistry.net/v1/skills/ketankshukla-mcp-local-semantics

## Description

An MCP server exposing local embedding tools - semantic search, comparison, clustering and zero-shot classification - so an agent can call them in a loop without an API round trip. Caching the embeddings took a search from 1040ms to 1.2ms. PyTorch, sentence-transformers, MCP Python SDK v2.

## Trust

- **Trust score (0–1):** 0.98
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **License:** MIT
- **Updated:** 2026-09-28

## Source

- **Source listing:** [GitHub](https://github.com/ketankshukla/mcp-local-semantics)

## Use it

Resolve this record through the SkillsRegistry MCP server (no auth, read-only):

```
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp
```

```json
{
  "jsonrpc": "2.0",
  "id": 1,
  "method": "tools/call",
  "params": {
    "name": "get_skill",
    "arguments": {
      "slug": "ketankshukla-mcp-local-semantics"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ketankshukla-mcp-local-semantics` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ketankshukla-mcp-local-semantics/pull`

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