빌드 커스텀 SQLite MCP 서버
고급
이것은Building Blocks, AI분야의자동화 워크플로우로, 16개의 노드를 포함합니다.주로 Code, Switch, ToolCode, McpTrigger, ToolWorkflow 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. 개별 SQLite MCP 서버 구축
사전 요구사항
- •AI 서비스 API Key(예: OpenAI, Anthropic 등)
워크플로우 미리보기
노드 연결 관계를 시각적으로 표시하며, 확대/축소 및 이동을 지원합니다
워크플로우 내보내기
다음 JSON 구성을 복사하여 n8n에 가져오면 이 워크플로우를 사용할 수 있습니다
{
"meta": {
"instanceId": "408f9fb9940c3cb18ffdef0e0150fe342d6e655c3a9fac21f0f644e8bedabcd9"
},
"nodes": [
{
"id": "fcbf7023-7e12-49d8-9c7d-4cb431c79905",
"name": "다른 워크플로우에서 실행 시",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
460,
260
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "operation"
},
{
"name": "tableName"
},
{
"name": "values",
"type": "object"
},
{
"name": "where",
"type": "object"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "58c93321-ded9-48c1-812f-c35d160e257b",
"name": "작업",
"type": "n8n-nodes-base.switch",
"position": [
640,
260
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "READ",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "81b134bc-d671-4493-b3ad-8df9be3f49a6",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "read"
}
]
},
"renameOutput": true
},
{
"outputKey": "INSERT",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8d57914f-6587-4fb3-88e0-aa1de6ba56c1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "insert"
}
]
},
"renameOutput": true
},
{
"outputKey": "UPDATE",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7c38f238-213a-46ec-aefe-22e0bcb8dffc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "update"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "865ae43a-14ec-4aac-9396-d0aef1ab4a75",
"name": "메모지",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-100
],
"parameters": {
"color": 7,
"width": 680,
"height": 660,
"content": "## 1. Set up an MCP Server Trigger\n[Read more about the MCP Server Trigger](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger)"
},
"typeVersion": 1
},
{
"id": "35551851-319a-47cf-87cd-a63b128300cc",
"name": "메모지1",
"type": "n8n-nodes-base.stickyNote",
"position": [
360,
-100
],
"parameters": {
"color": 7,
"width": 820,
"height": 720,
"content": "## 2. Keep Secure by Preventing Raw SQL Statements\n[Read more about the Code Node](https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-base.code/)\n\nWhilst it may be easier to just let the Agent provide the full raw SQL statement,\nit may expose you or your organisation to a real security risk where in the worst\ncase, data may be unknowingly leaked or deleted.\n\nForcing the agent to provide only the parameters of the query\nmeans we can guard somewhat against this risk and also allows\nuse of query parameters as best practice against SQL injection attacks.\n"
},
"typeVersion": 1
},
{
"id": "95c35568-e447-4634-afe8-c902ba5c7d2f",
"name": "메모지3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-220
],
"parameters": {
"color": 5,
"width": 380,
"height": 100,
"content": "### Always Authenticate Your Server!\nBefore going to production, it's always advised to enable authentication on your MCP server trigger."
},
"typeVersion": 1
},
{
"id": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"name": "SQLite MCP 서버",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"position": [
-160,
60
],
"webhookId": "3124a4cd-4e93-4c1b-b4db-b5599f4889b1",
"parameters": {
"path": "3124a4cd-4e93-4c1b-b4db-b5599f4889b1"
},
"typeVersion": 1
},
{
"id": "6f313137-eb8f-429b-a6c9-7b17e067dc5e",
"name": "레코드 생성",
"type": "n8n-nodes-base.code",
"position": [
940,
260
],
"parameters": {
"jsCode": "const sqlite3 = require('sqlite3').verbose();\nconst { promisify } = require('util');\n\nconst db = new sqlite3.Database('/home/node/test.db');\nconst run = promisify(db.run.bind(db));\n\nconst { json } = $input.first();\n\n\nlet output = '';\nconst statement = [\n `INSERT INTO ${json.tableName}`,\n ` (${Object.keys(json.values).join(',')})`,\n `VALUES`,\n ` (${Object.keys(json.values).map(_ => '?').join(',')})`\n].join(' ');\nconst params = Object.values(json.values);\n\ntry {\n await run(statement.trim(), params);\n output = { output: 'ok', error: null };\n} catch (err) {\n output = { output: null, error: err };\n} finally {\n await db.close();\n}\n\nreturn output;"
},
"typeVersion": 2
},
{
"id": "b2530656-bbf4-4316-8b8e-c5d27865e45f",
"name": "레코드 업데이트",
"type": "n8n-nodes-base.code",
"position": [
940,
440
],
"parameters": {
"jsCode": "const sqlite3 = require('sqlite3').verbose();\nconst { promisify } = require('util');\n\nconst db = new sqlite3.Database('/home/node/test.db');\nconst run = promisify(db.run.bind(db));\n\nconst { json } = $input.first();\n\nlet output = '';\nconst statement = [\n `UPDATE ${json.tableName}`,\n `SET`,\n `${Object.keys(json.values)\n .map(key => `${key} = ?`)\n .join(',')}`,\n `WHERE`,\n `${Object.keys(json.where)\n .map((key,idx) => `${key} = ?`)\n .join(' AND ')}`\n].join(' ');\nconst params = [ ...Object.values(json.values), ...Object.values(json.where)];\n\ntry {\n await run(statement, params);\n output = { output: 'ok', error: null };\n} catch (err) {\n output = { output: null, error: err };\n} finally {\n await db.close();\n}\n\nreturn output;"
},
"typeVersion": 2
},
{
"id": "8c1b8bcb-20f1-4ef9-b646-9d89177651dd",
"name": "레코드 조회",
"type": "n8n-nodes-base.code",
"position": [
940,
80
],
"parameters": {
"jsCode": "const sqlite3 = require('sqlite3').verbose();\nconst { promisify } = require('util');\n\nconst db = new sqlite3.Database('/home/node/test.db');\nconst all = promisify(db.all.bind(db));\n\nconst { json } = $input.first();\n\nlet output = '';\nconst statement = [\n `SELECT * FROM ${json.tableName}`,\n json?.where && Object.keys(json?.where).length > 0\n ? `WHERE ` + Object.keys(json.where)\n .map((key,idx) => `${key} = $${idx+1}`)\n .join(' AND ')\n : ''\n].join(' ');\nconst params = json.where ? Object.values(json.where) : undefined;\n\ntry {\n \n const results = await all(statement.trim(), params);\n\n output = { output: [].concat(results), error: null };\n} catch (err) {\n output = { output: null, error: err };\n} finally {\n await db.close();\n}\n\nreturn output"
},
"typeVersion": 2
},
{
"id": "87df3eed-b4d5-4a9c-bd82-0ad455449cd2",
"name": "테이블 구조 설명",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
-160,
340
],
"parameters": {
"name": "describeTable",
"jsCode": "const sqlite3 = require('sqlite3').verbose();\nconst { promisify } = require('util');\n\nconst db = new sqlite3.Database('/home/node/test.db');\nconst all = promisify(db.all.bind(db));\n\nlet output = '';\ntry {\n const rows = await all(`PRAGMA table_info(${query.tableName})`);\n const results = rows.map((col) => (\n `${col.name} | ${col.type} | NOT NULL: ${col.notnull} | Default: ${col.dflt_value}`\n )).join('\\n');\n \n output = { output: [].concat(results), error: null };\n} catch (err) {\n output = { output: null, error: err };\n} finally {\n await db.close();\n}\n\nreturn JSON.stringify(output);",
"schemaType": "manual",
"description": "Call this tool to describe a table's schema.",
"inputSchema": "{\n \"type\": \"object\",\n \"required\": [\"tableName\"],\n \"properties\": {\n \"tableName\": {\n \"type\": \"string\",\n \"description\": \"Name of the table\"\n }\n }\n}",
"specifyInputSchema": true
},
"typeVersion": 1.1
},
{
"id": "4a0ba0d0-4955-44fd-92de-ad031ebb64cb",
"name": "테이블 목록 조회",
"type": "@n8n/n8n-nodes-langchain.toolCode",
"position": [
-260,
240
],
"parameters": {
"name": "listTables",
"jsCode": "const sqlite3 = require('sqlite3').verbose();\nconst { promisify } = require('util');\n\nconst db = new sqlite3.Database('/home/node/test.db');\nconst all = promisify(db.all.bind(db));\n\nlet output = '';\ntry {\n const rows = await all(`SELECT name FROM sqlite_master WHERE type='table' AND name NOT LIKE 'sqlite_%'`, []);\n const results = rows.map((row) => row.name).join('\\n');\n \n output = { output: [].concat(results), error: null };\n} catch (err) {\n output = { output: null, error: err };\n} finally {\n await db.close();\n}\n\nreturn JSON.stringify(output);",
"description": "Call this tool to list all available tables in the SQLite Database."
},
"typeVersion": 1.1
},
{
"id": "69e8e720-7e91-4b46-8db5-1afdf1f3dbe0",
"name": "다중 레코드 생성",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-40,
440
],
"parameters": {
"name": "CreateRecords",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to create a row in a SQLite table.",
"workflowInputs": {
"value": {
"where": "={{ {} }}",
"values": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('values', `An object of key-value pair where key represents the column name.`, 'string') }}",
"operation": "insert",
"tableName": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('tableName', `table to insert into`, 'string') }}"
},
"schema": [
{
"id": "operation",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "operation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tableName",
"type": "string",
"display": true,
"removed": false,
"required": false,
"displayName": "tableName",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "values",
"type": "object",
"display": true,
"removed": false,
"required": false,
"displayName": "values",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "where",
"type": "object",
"display": true,
"removed": false,
"required": false,
"displayName": "where",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.1
},
{
"id": "f2e18ae5-89a0-4d61-805b-e777f11300a2",
"name": "행 업데이트",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
100,
360
],
"parameters": {
"name": "updateRows",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to create a row in a table.",
"workflowInputs": {
"value": {
"where": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('where', `An object of key-value pair where key represents the column name.`, 'string') }}",
"values": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('values', `An object of key-value pair where key represents the column name.`, 'string') }}",
"operation": "update",
"tableName": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('tableName', `table to update`, 'string') }}"
},
"schema": [
{
"id": "operation",
"type": "string",
"display": true,
"required": false,
"displayName": "operation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tableName",
"type": "string",
"display": true,
"required": false,
"displayName": "tableName",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "values",
"type": "object",
"display": true,
"required": false,
"displayName": "values",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "where",
"type": "object",
"display": true,
"required": false,
"displayName": "where",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.1
},
{
"id": "22645721-1b66-4a36-9be5-f1e5edde30f8",
"name": "행 조회",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
180,
240
],
"parameters": {
"name": "readRows",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to read one or more rows in a table",
"workflowInputs": {
"value": {
"where": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('where', `An object of key-value pair where key represents the column name.`, 'string') }}",
"values": "={}",
"operation": "read",
"tableName": "={{ /*n8n-auto-generated-fromAI-override*/ $fromAI('tableName', `table to read from`, 'string') }}"
},
"schema": [
{
"id": "operation",
"type": "string",
"display": true,
"required": false,
"displayName": "operation",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "tableName",
"type": "string",
"display": true,
"required": false,
"displayName": "tableName",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "values",
"type": "object",
"display": true,
"required": false,
"displayName": "values",
"defaultMatch": false,
"canBeUsedToMatch": true
},
{
"id": "where",
"type": "object",
"display": true,
"required": false,
"displayName": "where",
"defaultMatch": false,
"canBeUsedToMatch": true
}
],
"mappingMode": "defineBelow",
"matchingColumns": [],
"attemptToConvertTypes": false,
"convertFieldsToString": false
}
},
"typeVersion": 2.1
},
{
"id": "2176742a-5a28-41c6-9cd7-ac3229ddcdb6",
"name": "메모지2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-820,
-800
],
"parameters": {
"width": 440,
"height": 1360,
"content": "## Try It Out!\n**NOTE: This template is for Self-Hosted N8N Instances only.**\n\n### This n8n demonstrates how to build a simple SQLite MCP server to perform local database operations as well as use it for Business Intelligence.\n\nThis MCP example is based off an official MCP reference implementation which can be found here -https://github.com/modelcontextprotocol/servers/tree/main/src/sqlite\n\n### How it works\n* A MCP server trigger is used and connected to 5 tools: 2 Code Node and 3 Custom Workflow.\n* The 2 Code Node tools use the SQLLite3 library and are simple read-only queries and as such, the Code Node tool can be simply used.\n* The 3 custom workflow tools are used for select, insert and update queries as these are operations which require a bit more discretion.\n* Whilst it may be easier to allow the agent to use raw SQL queries, we may find it a little safer to just allow for the parameters instead. The custom workflow tool allows us to define this restricted schema for tool input which we'll use to construct the SQL statement ourselves.\n* All 3 custom workflow tools trigger the same \"Execute workflow\" trigger in this very template which has a switch to route the operation to the correct handler.\n* Finally, we use our Code nodes to handle select, insert and update operations. The responses are then sent back to the the MCP client.\n\n### How to use\n* This SQLite MCP server allows any compatible MCP client to manage a SQLite database by supporting select, create and update operations. You will need to have a SQLite database available before you can use this server.\n* Connect your MCP client by following the n8n guidelines here - https://docs.n8n.io/integrations/builtin/core-nodes/n8n-nodes-langchain.mcptrigger/#integrating-with-claude-desktop\n* Try the following queries in your MCP client:\n * \"Please create a table to store business insights and add the following...\"\n * \"what business insights do we have on current retail trends?\"\n * \"Who has contributed the most business insights in the past week?\"\n\n### Requirements\n* SQLite for database.\n* MCP Client or Agent for usage such as Claude Desktop - https://claude.ai/download\n\n### Customising this workflow\n* If the scope of schemas or tables is too open, try restrict it so the MCP serves a specific purpose for business operations. eg. Confine the querying and editing to HR only tables before providing access to people in that department.\n* Remember to set the MCP server to require credentials before going to production and sharing this MCP server with others!"
},
"typeVersion": 1
},
{
"id": "5a9a4763-2952-4d95-8f35-25238affa049",
"name": "메모지4",
"type": "n8n-nodes-base.stickyNote",
"position": [
-340,
-340
],
"parameters": {
"color": 3,
"width": 380,
"height": 100,
"content": "### SELF-HOSTED ONLY\nThis template only works for self-hosted n8n instances as it reads the database file on disk."
},
"typeVersion": 1
}
],
"pinData": {},
"connections": {
"22645721-1b66-4a36-9be5-f1e5edde30f8": {
"ai_tool": [
[
{
"node": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"type": "ai_tool",
"index": 0
}
]
]
},
"58c93321-ded9-48c1-812f-c35d160e257b": {
"main": [
[
{
"node": "8c1b8bcb-20f1-4ef9-b646-9d89177651dd",
"type": "main",
"index": 0
}
],
[
{
"node": "6f313137-eb8f-429b-a6c9-7b17e067dc5e",
"type": "main",
"index": 0
}
],
[
{
"node": "b2530656-bbf4-4316-8b8e-c5d27865e45f",
"type": "main",
"index": 0
}
]
]
},
"4a0ba0d0-4955-44fd-92de-ad031ebb64cb": {
"ai_tool": [
[
{
"node": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"type": "ai_tool",
"index": 0
}
]
]
},
"f2e18ae5-89a0-4d61-805b-e777f11300a2": {
"ai_tool": [
[
{
"node": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"type": "ai_tool",
"index": 0
}
]
]
},
"69e8e720-7e91-4b46-8db5-1afdf1f3dbe0": {
"ai_tool": [
[
{
"node": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"type": "ai_tool",
"index": 0
}
]
]
},
"87df3eed-b4d5-4a9c-bd82-0ad455449cd2": {
"ai_tool": [
[
{
"node": "2d0f98f8-043a-459c-8b77-634e06ee0f57",
"type": "ai_tool",
"index": 0
}
]
]
},
"fcbf7023-7e12-49d8-9c7d-4cb431c79905": {
"main": [
[
{
"node": "58c93321-ded9-48c1-812f-c35d160e257b",
"type": "main",
"index": 0
}
]
]
}
}
}자주 묻는 질문
이 워크플로우를 어떻게 사용하나요?
위의 JSON 구성 코드를 복사하여 n8n 인스턴스에서 새 워크플로우를 생성하고 "JSON에서 가져오기"를 선택한 후, 구성을 붙여넣고 필요에 따라 인증 설정을 수정하세요.
이 워크플로우는 어떤 시나리오에 적합한가요?
고급 - 빌딩 블록, 인공지능
유료인가요?
이 워크플로우는 완전히 무료이며 직접 가져와 사용할 수 있습니다. 다만, 워크플로우에서 사용하는 타사 서비스(예: OpenAI API)는 사용자 직접 비용을 지불해야 할 수 있습니다.
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Jimleuk
@jimleukFreelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk
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