# @dotlab-hq/vector-store-mcp

> Use this tool when you need to manage and query large vector stores, or perform semantic search on files and file batches. It solves problems related to efficient data storage, retrieval, and search, particularly in applications involving dense vector representations. The tool accepts inputs such as vector data, files, and queries, and outputs search results and managed vector stores.

Canonical page: https://skillsregistry.net/skills/dotlab-hq-vector-store-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dotlab-hq-vector-store-mcp

## Description

MCP server for OpenAI Vector Store API, managing vector stores, files, file batches, and semantic search.

## Trust

- **Trust score (0–1):** 0.69
- **Verification tier:** scanned
- **Last scanned:** 2026-09-01

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** ai-ml
- **Updated:** 2026-09-01

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/yb1z9m82os)
- **Repository:** <https://github.com/dotlab-hq/vector-store-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": "dotlab-hq-vector-store-mcp"
    }
  }
}
```

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