# vectordb-mcp

> vectordb-mcp — alihaider20-mcp-vectordb-context-manager. Use this tool when you need to locally index and search large collections of documents using AI-powered vector databases. It solves problems related to information retrieval and document search by providing a self-contained system that ingests documents and enables semantic search via MCP tools. The tool accepts document inputs and returns relevant search results, ideal for use cases where local data processing and API key-free solutions are required.

Canonical page: https://skillsregistry.net/skills/alihaider20-mcp-vectordb-context-manager  
JSON: https://api.skillsregistry.net/v1/skills/alihaider20-mcp-vectordb-context-manager

## Description

Local RAG system that ingests documents into a vector database using FAISS and SQLite, then enables Claude to search over them via MCP tools, all running locally with no API key required.

## Trust

- **Trust score (0–1):** 0.70
- **Verification tier:** verified
- **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/gcjcagby59)
- **Repository:** <https://github.com/AliHaider20/MCP-VectorDB-RAG>

## 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": "alihaider20-mcp-vectordb-context-manager"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/alihaider20-mcp-vectordb-context-manager` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/alihaider20-mcp-vectordb-context-manager/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
