SQLite-MCP

Call MCP tools directly from SQL.
Integrates the Model Context Protocol into SQLite — connect to any MCP server and invoke its tools from inside a query. Bridge between your database and the agent ecosystem.

Free managed instance → · Docs · Website · Blog

_{Data:Vector · Sync · Columnar · JS
AI:AI · Agent · Memory · MCP}

Want managed MCP infrastructure? SQLite-MCP connects to any MCP server locally; SQLite Cloud includes a built-in MCP server, edge functions, and auth — so you can expose your data as an MCP target. Free tier available.

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SQLite MCP

A SQLite extension that integrates the Model Context Protocol (MCP) Rust SDK, enabling SQLite databases to connect to MCP servers and call their tools.

🚀 Quick Start

Installation

Pre-built Binaries

Download for your platform: macOS, Linux, Windows, Android, and iOS.

Flutter Package

Add the sqlite_mcp package to your project:

flutter pub add sqlite_mcp # Flutter projects
dart pub add sqlite_mcp # Dart projects

Usage with sqlite3 package:

import'package:sqlite3/sqlite3.dart';
import'package:sqlite_mcp/sqlite_mcp.dart';
sqlite3.loadSqliteMcpExtension();
final db = sqlite3.openInMemory();
print(db.select('SELECT mcp_version()'));

For a complete example, see the Flutter example.

Basic Usage

-- Load the extension
.load ./dist/mcp.dylib-- Check versionSELECT mcp_version();
-- 0.1.0-- Connect to an MCP serverSELECT mcp_connect('http://localhost:8000/mcp');
-- {"status": "connected", "transport": "streamable_http"}-- List available toolsSELECT mcp_list_tools_json();
-- Returns JSON with tool schemas-- Call a toolSELECT mcp_call_tool_json('airbnb_search', '{"location": "Rome", "maxPrice": 100}');
-- Returns search results

📖 API Reference

Available Functions

Function	Description
mcp_version()	Returns extension version
mcp_connect(url, [headers], [sse])	Connect to MCP server with optional custom headers
mcp_list_tools_json()	List available tools with schemas
mcp_call_tool_json(name, args)	Call a tool on the MCP server
mcp_list_tools_respond	Virtual table (cached) that returns each tool as a row with structured columns
mcp_call_tool_respond(name, args)	Virtual table that extracts text results from tool calls
mcp_list_tools	Streaming virtual table that returns tools as they arrive
mcp_call_tool(name, args)	Streaming virtual table for real-time tool results

See API.md for complete API documentation with examples.

🏗️ Building from Source

Requirements

• Rust: 1.85+ toolchain
• C Compiler: gcc or clang
• Make: GNU Make

Build Instructions

# Clone the repository
git clone https://github.com/sqliteai/sqlite-mcp.git
cd sqlite-mcp
# Initialize submodules
git submodule update --init --recursive
# Build the extension
make

The compiled extension will be in dist/mcp.{dylib,so,dll}.

🔧 Transport Protocols

The extension supports two MCP transport protocols:

Streamable HTTP (Default)

Modern streaming HTTP transport for MCP servers.

SELECT mcp_connect('http://localhost:8000/mcp');

SSE (Legacy)

Server-Sent Events for compatibility with older servers.

SELECT mcp_connect('http://localhost:8931/sse', 1);

🚦 Quick Usage Example

#include<sqlite3.h>#include<stdio.h>intmain() {
sqlite3*db;
sqlite3_open(":memory:", &db);
sqlite3_enable_load_extension(db, 1);
sqlite3_load_extension(db, "./dist/mcp", NULL, NULL);
sqlite3_stmt*stmt;
// Connect to MCPsqlite3_prepare_v2(db,
"SELECT mcp_connect('http://localhost:8000/mcp')",
-1, &stmt, NULL);
sqlite3_step(stmt);
printf("Connected: %s\n", sqlite3_column_text(stmt, 0));
sqlite3_finalize(stmt);
// Call toolsqlite3_prepare_v2(db,
"SELECT mcp_call_tool_json('airbnb_search', '{\"location\": \"NYC\"}')",
-1, &stmt, NULL);
if (sqlite3_step(stmt) ==SQLITE_ROW) {
printf("Result: %s\n", sqlite3_column_text(stmt, 0));
}
sqlite3_finalize(stmt);
sqlite3_close(db);
return0;
}

See USAGE.md for complete usage examples.

🤝 Contributing

Contributions are welcome! Please feel free to submit a Pull Request.

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📄 License

MIT License - See LICENSE for details

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☁️ Hosted version

Want to expose your database as an MCP target? SQLite Cloud includes a built-in MCP server, REST APIs, auth, and edge functions — so any MCP-compatible agent (Claude, Cursor, custom clients) can read and write your data securely.

Start free →

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Part of the SQLite AI stack

SQLite-MCP is one piece of a larger ecosystem that turns SQLite into a runtime for intelligent, distributed data:

Data layer

• sqlite-vector — ANN vector search inside SQLite
• sqlite-sync — Offline-first CRDT sync across devices
• sqlite-columnar — Column-oriented analytics for OLAP queries
• sqlite-js — Custom SQLite functions written in JavaScript

AI layer

• sqlite-ai — On-device LLM inference and embeddings
• sqlite-agent — Autonomous AI agents running inside SQLite
• sqlite-memory — Persistent, searchable memory for agents
• sqlite-mcp — Call MCP tools directly from SQL queries (you are here)

Managed platform

• SQLite Cloud — Hosted SQLite with sync, auth, edge functions, and analytics. Free tier →

Built by SQLite AI. Questions? Open a discussion or contact us.