# vector_mcp

> vector_mcp — sergiobayona-vector-mcp. Use this tool when you need to implement the Model Context Protocol (MCP) on a server, enabling efficient model management and deployment. It solves problems related to model serving, versioning, and collaboration, accepting model updates and queries as inputs and providing predictions and model metadata as outputs. Ideal for use cases involving machine learning model deployment, particularly when working with Ruby and Git version control.

Canonical page: https://skillsregistry.net/skills/sergiobayona-vector-mcp  
JSON: https://api.skillsregistry.net/v1/skills/sergiobayona-vector-mcp

## Description

A server implementation for the Model Context Protocol (MCP) in Ruby.

## Trust

- **Trust score (0–1):** 0.65
- **Verification tier:** unverified

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** container
- **Runtime environment:** vm
- **Category:** ai-ml
- **Updated:** 2026-09-20

## Source

- **Source listing:** [GitHub](https://github.com/sergiobayona/vector_mcp)

## 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": "sergiobayona-vector-mcp"
    }
  }
}
```

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