# Encrypted SQLite MCP Server

> Encrypted SQLite MCP Server — rosch100-mcp-encrypted-sqlite. Use this tool when you need to securely manage and interact with encrypted SQLite databases using natural language, enabling you to perform CRUD operations, execute SQL queries, and explore database contents while maintaining data confidentiality. It solves problems related to secure data storage and querying, providing an intuitive interface for users to input natural language commands and receive output in a human-readable format. Ideal for use cases requiring secure data management and analysis, such as protecting sensitive information in mobile or embedded applications.

Canonical page: https://skillsregistry.net/skills/rosch100-mcp-encrypted-sqlite  
JSON: https://api.skillsregistry.net/v1/skills/rosch100-mcp-encrypted-sqlite

## Description

An MCP server for working with encrypted SQLite databases (SQLCipher), enabling database exploration, SQL queries, and CRUD operations through natural language.

## Trust

- **Trust score (0–1):** 0.48
- **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/b3cz3igt1t)
- **Repository:** <https://github.com/rosch100/mcp-encrypted-sqlite>

## 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": "rosch100-mcp-encrypted-sqlite"
    }
  }
}
```

REST: `GET https://api.skillsregistry.net/v1/skills/rosch100-mcp-encrypted-sqlite` · pull for local use: `GET https://api.skillsregistry.net/v1/skills/rosch100-mcp-encrypted-sqlite/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