# vector-mcp

> vector-mcp — knuckles-team-vector-mcp. Use this tool when you need to manage and query large datasets for AI applications, solving problems related to data storage, retrieval, and analysis. It supports multiple databases, including ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector, providing a flexible interface for inputting and outputting vector data. Ideal for use cases requiring efficient data management and querying, such as natural language processing, computer vision, and recommender systems.

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

## Description

Vector MCP Server for AI Agents - Supports ChromaDB, Couchbase, MongoDB, Qdrant, and PGVector

## Trust

- **Trust score (0–1):** 0.94
- **Verification tier:** verified
- **Last scanned:** 2026-09-19

## Facts

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

## Source

- **Source listing:** [GitHub](https://github.com/Knuckles-Team/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": "knuckles-team-vector-mcp"
    }
  }
}
```

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