Use Studio chat to drive this server — credentials stay in your workspace.
SQLite MCP server for lightweight, serverless, self-contained SQL database operations. Perfect for local development, testing, and embedded applications. Access local database files with: pip install mcpbundles
Opens MCPBundles Studio with this server selected. After sign-in, chat and run tools from the same thread.
Browse all toolsDomain knowledge for SQLite — workflow patterns, data models, and gotchas for your AI agent.
SQLite for lightweight, serverless SQL. Local development, testing, embedded apps. Access local .db files. Requires: pip install mcpbundles.
Universal fetch tool that retrieves any row or table schema using smart ID routing with colon-separated format. Supports direct row retrieval and sche...
Search SQLite database using SQL queries or structured syntax. Returns ranked results with IDs and titles. Supports SELECT statements and table browsi...
Analyze indexes for a specific table or all tables. Returns index details, usage statistics, and recommendations for optimization.
Analyze estimated table sizes using SQLite page statistics. Returns size estimates for all tables in the database.
Execute SQL write statements (INSERT, UPDATE, DELETE, DDL) on SQLite database. Returns affected row count. Supports parameterized queries for safety.
Analyze SQL query performance using EXPLAIN QUERY PLAN. Returns execution plan details including scan types, index usage, and performance recommendati...
Find duplicate rows in a table based on specified columns. Returns duplicate groups with counts and sample rows.
Analyze NULL values in a table. Returns NULL counts per column and identifies columns with high NULL percentages.
Generate full AI-friendly description of SQLite database schema. Returns all tables with columns, types, and constraints in a format optimized for LLM...
Get all foreign key relationships in the database. Returns a graph structure showing table dependencies and relationships.
Get detailed statistics for a specific SQLite table including row count, column count, indexes, and foreign keys.
Get detailed SQLite database metadata including version, page size, encoding, table count, and size information.
List rows from a specific SQLite table with filtering, sorting, and pagination support. Returns structured data with column types and row counts.
List SQLite tables with rich filtering and metadata options. Supports pattern matching and optional inclusion of columns, indexes, and row counts.
Profile a specific column in a SQLite table with statistics including distinct count, null count, min, max, and value distribution.
Get random sample rows from a SQLite table for data exploration and understanding data patterns.
Suggest indexes for tables based on foreign keys, primary keys, and common query patterns. Returns CREATE INDEX statements.
SQLite MCP server for lightweight, serverless, self-contained SQL database operations. Perfect for local development, testing, and embedded applications. Access local database files with: pip install mcpbundles It provides 17 tools that AI agents can use through the Model Context Protocol (MCP).
Add the MCPBundles server URL to your MCP client configuration (Claude Desktop, Cursor, VS Code, etc.). The URL format is: https://mcp.mcpbundles.com/bundle/sqlite. Authentication is handled automatically.
SQLite provides 17 tools that can be called by AI agents, along with a SKILL.md that gives your AI agent domain knowledge about when and how to use them.
SQLite uses API Key. SQLite requires credentials. Connect via MCPBundles and authentication is handled automatically.
Connect SQLite to any MCP client in minutes
Model Context Protocol lets AI tools call external capabilities securely through a single URL. This bundle groups tools behind an MCP endpoint that many clients can use.
Skip the manual setup! Use the .mcpb file format for one-click installation. Check the Claude Desktop tab for setup instructions.
Select ChatGPT, Cursor, Claude Code, or another tab for copy-paste config.
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