# vector-mcp

> Use this tool when you need to integrate Retrieval-Augmented Generation (RAG) capabilities into AI agents, supporting multiple vector database technologies through the MCP server interface, which accepts queries and returns relevant vector embeddings as output. This enables AI agents to efficiently retrieve and generate text based on complex queries, solving problems such as information retrieval and text generation. Ideal for use cases requiring scalable and flexible vector database integration, such as question answering, text summarization, and conversational AI.

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

## Description

Enables integrating RAG into AI agents via MCP server, supporting multiple vector database technologies.

## Trust

- **Trust score (0–1):** 0.37
- **Verification tier:** scanned
- **Last scanned:** 2026-08-30

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-08-30

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/czgu0wy7xs)
- **Repository:** <https://github.com/markdevshop/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": "markdevshop-vector-mcp"
    }
  }
}
```

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