Mcp Sqlite — independently scanned and version-tracked by SaferSkills.
SaferSkills independently audited Mcp Sqlite (Agent Skill) and scored it 100/100 (green). The audit ran 55 deterministic rules across Security, Supply Chain, Maintenance, Transparency, and Community; it found 0 high-severity and 0 lower-severity findings. The full rule-by-rule trace and per-finding evidence are below. Free, methodology-open.
Findings & checks · 0 flagged
Every scanned point with the score it earned and what moved between them.
First recorded scan — no prior version to compare against.
The primary manifest — the file an agent reads to learn what this artifact does.
MCP server that provides SQLite database operations. Allows AI assistants to query, modify and manage SQLite databases through the Model Context Protocol.
pip install -r requirements.txtfrom mcpsqlite import SQLiteServer
server = SQLiteServer(db_path="data.db")
server.run()Execute a SQL query and return results.
{
"name": "query",
"arguments": {
"sql": "SELECT * FROM users WHERE age > ?",
"params": [18]
}
}Execute a SQL statement (INSERT, UPDATE, DELETE).
{
"name": "execute",
"arguments": {
"sql": "INSERT INTO users (name, age) VALUES (?, ?)",
"params": ["Alice", 25]
}
}Get database schema information.
{
"name": "schema",
"arguments": {
"table": "users"
}
}List all tables in the database.
{
"name": "tables",
"arguments": {}
}server = SQLiteServer(
db_path="data.db",
read_only=False,
max_rows=1000
)python -m mcpsqlite --db data.db --port 8080{
"mcpServers": {
"sqlite": {
"command": "python",
"args": ["-m", "mcpsqlite", "--db", "data.db"]
}
}
}MIT
~30 seconds. Free. No account. Every finding cites a rule and a line of evidence.