Server data from the Official MCP Registry
A dead-simple, self-hosted MCP server for securely querying databases via AI agents.
About
A dead-simple, self-hosted MCP server for securely querying databases via AI agents.
Security Report
db-conn-mcp is a well-architected MCP server with strong security controls for database access. The codebase demonstrates careful attention to credential handling, read-only enforcement, and write operation gating. Minor code quality issues around broad exception handling and one low-severity permission concern do not materially impact the security posture, which is sound and appropriate for its purpose as a self-hosted database query tool. Supply chain analysis found 11 known vulnerabilities in dependencies (0 critical, 8 high severity). Package verification found 1 issue.
3 files analyzed · 15 issues found
Security scores are indicators to help you make informed decisions, not guarantees. Always review permissions before connecting any MCP server.
Permissions Required
This plugin requests these system permissions. Most are normal for its category.
How to Install
Add this to your MCP configuration file:
{
"mcpServers": {
"io-github-idle-sync-db-conn-mcp": {
"args": [
"db-conn-mcp"
],
"command": "uvx"
}
}
}Reviews
No reviews yet
Be the first to review this server!
More Developer Tools MCP Servers
Fetch
Freeby Modelcontextprotocol · Developer Tools
Web content fetching and conversion for efficient LLM usage
Git
Freeby Modelcontextprotocol · Developer Tools
Read, search, and manipulate Git repositories programmatically
Toleno
Freeby Toleno · Developer Tools
Toleno Network MCP Server — Manage your Toleno mining account with Claude AI using natural language.
mcp-creator-python
Freeby mcp-marketplace · Developer Tools
Create, build, and publish Python MCP servers to PyPI — conversationally.
MCP Marketplace
Freeby mcp-marketplace · Developer Tools
Search and install MCP servers from inside your AI client.
MarkItDown
Freeby Microsoft · Content & Media
Convert files (PDF, Word, Excel, images, audio) to Markdown for LLM consumption
