AgenticMarketSQLite
OFFICIAL · Model Context ProtocolNO AUTHMITGive your AI agent direct read and write access to SQLite databases — query tables, run analysis, insert records, and explore schemas conversationally.
Setup Guide
{
"mcpServers": {
"sqlite": {
"command": "uvx",
"args": [
"mcp-server-sqlite",
"--db-path",
"/path/to/your/database.db"
]
}
}
}Tools
read_query
Execute a SELECT SQL query and return the results as a structured table.
write_query
Execute INSERT, UPDATE, DELETE, or DDL statements against the SQLite database.
create_table
Create a new table in the SQLite database with a specified schema.
list_tables
List all tables in the SQLite database.
describe_table
Get the schema definition (columns and types) of a specific table.
append_insight
Save a data analysis insight as a memo in the database for later retrieval.
Compatibility
About
Overview
The SQLite MCP server provides direct access to SQLite database files from your AI assistant. Unlike PostgreSQL, SQLite requires no server process — it's a single file on your filesystem. This makes it ideal for local development, prototyping, data analysis, and embedded database workflows.
With this integration, you can have genuine conversational data analysis sessions: describe what insights you need in plain English, and your AI will write and execute the SQL, interpret the results, and help you iterate — no SQL expertise required.
Use Cases
- Development: Inspect app database state, run ad-hoc queries, generate seed data.
- Analysis: Load a CSV dataset into SQLite, then analyze it with your AI.
- Prototyping: Create and populate schema tables for rapid API prototyping.
- Debugging: Ask why queries are slow, let AI suggest index strategies.
Quick Start
bash# Create a new SQLite database with sample data sqlite3 ~/mydata.db "CREATE TABLE users (id INTEGER PRIMARY KEY, name TEXT, email TEXT);" sqlite3 ~/mydata.db "INSERT INTO users VALUES (1, 'Alice', 'alice@example.com');"
Then configure the MCP server to point at ~/mydata.db and ask your AI: "What users are in the database?"
Install and Troubleshooting Intent Coverage
Developer-install and troubleshooting intent for community MCP server listings.
install mcp server / mcp server setup guide
mcp json config example / vscode mcp setup
mcp server not working / mcp tools not showing
mcp server compatibility matrix / cursor vs vscode mcp compatibility
mcp server monetization options / convert community mcp server to paid listing
Related Setup, Debug, and Learning Links
Database MCP troubleshooting
Connection and env-path failures are common in DB tools.
Authentication guide
Most database listings require secure credential flow.
CLI installation guide
Install baseline for all IDEs before listing-specific setup.
Using servers guide
Covers runtime usage patterns and auth flow.
Cursor setup walkthrough
High-intent setup path for developer troubleshooting journeys.
Troubleshooting: tools not showing
Covers discovery/listing failures across major IDEs.
Registry listing: postgres
Maps this community reference to install-ready hosted listing.
Related explore entry: Notion
Keeps same-intent users on matched category and tool shape.
Related explore entry: PostgreSQL
Keeps same-intent users on matched category and tool shape.
Related explore entry: Redis
Keeps same-intent users on matched category and tool shape.
Related explore entry: Supabase
Keeps same-intent users on matched category and tool shape.
Install this server instantly with the AgenticMarket CLI — zero config, auto-detects your IDE.
$npx agenticmarket install sqliteNotion
Connect your AI agent to Notion workspaces to read pages, create documents, update databases, search content, and manage your team's knowledge system.
PostgreSQL
Inspect schema structures, list tables, and execute read-only queries against your PostgreSQL databases from your AI assistant.
Redis
Connect your AI agent to Redis for real-time key-value storage, caching, pub/sub messaging, and data structure management.
Supabase
Connect your AI coding assistant to Supabase. Query databases, run migrations, deploy Edge Functions, and manage projects — all through natural language in VS Code, Cursor, Claude Desktop, and more.