# Glacier.Vector

> Glacier.Vector — ian-cowley-glacier-vector. Use this tool when you need to efficiently search and manage large datasets of vector embeddings, particularly for large language models (LLMs) and semantic search applications. Glacier.Vector solves problems related to high-performance vector search, indexing, and querying, accepting input vectors and returning relevant search results. It is ideal for use cases requiring fast and scalable similarity searches, such as natural language processing and machine learning workflows.

Canonical page: https://skillsregistry.net/skills/ian-cowley-glacier-vector  
JSON: https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-vector

## Description

High-performance, SIMD-accelerated vector search engine and MCP server for .NET 10. Optimized for LLM embeddings and semantic search.

## Trust

- **Trust score (0–1):** 0.55
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-19

## Source

- **Source listing:** [GitHub](https://github.com/ian-cowley/Glacier.Vector)

## 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": "ian-cowley-glacier-vector"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-vector` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/ian-cowley-glacier-vector/pull`

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SkillsRegistry indexes agent skills from public registries and GitHub. Skills we have analysed are scanned with Circle-IR and scored on six dimensions; each listing states its scan coverage. More: https://skillsregistry.net/llms.txt