# sqlite-readonly-mcp

> Use this tool when you need to securely query a SQLite database remotely, solving problems such as accessing data from a Linux deployment without compromising database integrity. It takes Bearer Token authentication and SELECT statements or table listing requests as input, and returns JSON results through Streamable HTTP. Ideal for use cases requiring read-only database access, such as data analytics or reporting, behind a secure Nginx and HTTPS setup.

Canonical page: https://skillsregistry.net/skills/dochaocn-sqlite-readonly-mcp  
JSON: https://api.skillsregistry.net/v1/skills/dochaocn-sqlite-readonly-mcp

## Description

A read-only SQLite MCP server for remote Linux deployment that provides secure database querying via SELECT statements and table listing. It uses Bearer Token authentication and returns JSON results through Streamable HTTP, designed to run behind Nginx with HTTPS.

## Trust

- **Trust score (0–1):** 0.88
- **Verification tier:** verified
- **Last scanned:** 2026-09-28

## Facts

- **Version:** 1.0.0
- **Skill type:** atomic
- **Execution layer:** mcp-remote
- **Runtime environment:** api
- **Category:** database
- **Updated:** 2026-09-28

## Source

- **Source listing:** [Glama](https://glama.ai/mcp/servers/rezd3e9zej)
- **Repository:** <https://github.com/dochaocn/sqlite-readonly-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": "dochaocn-sqlite-readonly-mcp"
    }
  }
}
```

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