SQLite database queries, analysis, and memo storage for local AI workflows
A lightweight but powerful MCP server for SQLite databases. Query local databases, inspect schemas, run aggregations, and store persistent memos β all through natural language with your AI agent. Features: - Full read/write access to SQLite databases - Schema inspection and table listing - Natural language query execution - Built-in memo/note storage system - Business insight generation from query results - No external services required β runs entirely locally - Perfect for local analytics, prototyping, and AI-assisted data exploration Unlike cloud database servers, SQLite MCP requires no credentials or network access β ideal for local development, quick analysis tasks, or building offline-capable AI workflows. Installation uses Python's uvx package runner (part of uv, the fast Python package manager).
File location: .claude/mcp.json (project root) or ~/.claude/mcp.json (global)
{
"sqliteMcpServer": {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"/path/to/database.sqlite"
]
}
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