빌드 커스텀 PostgreSQL MCP 서버
중급
이것은Building Blocks, AI분야의자동화 워크플로우로, 15개의 노드를 포함합니다.주로 Switch, Postgres, PostgresTool, McpTrigger, ToolWorkflow 등의 노드를 사용하며인공지능 기술을 결합하여 스마트 자동화를 구현합니다. 개별 PostgreSQL MCP 서버 구축
사전 요구사항
- •PostgreSQL 데이터베이스 연결 정보
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",
"templateCredsSetupCompleted": true
},
"nodes": [
{
"id": "0c49141e-128c-424e-afdf-ea131b7a3dd8",
"name": "테이블 스키마 가져오기",
"type": "n8n-nodes-base.postgresTool",
"position": [
-460,
220
],
"parameters": {
"query": "SELECT column_name, data_type FROM information_schema.columns WHERE table_name = $1",
"options": {
"queryReplacement": "={{ $fromAI('tableName', 'The name of the table.') }}"
},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "Read a table's schema."
},
"credentials": {
"postgres": {
"id": "elRn5sxKOfCdlEs6",
"name": "Postgres account"
}
},
"typeVersion": 2.6
},
{
"id": "8ffeefb9-357c-41bc-8239-0c07c706be97",
"name": "테이블 목록 조회",
"type": "n8n-nodes-base.postgresTool",
"position": [
-340,
300
],
"parameters": {
"query": "SELECT table_name FROM information_schema.tables WHERE table_schema = 'public'",
"options": {},
"operation": "executeQuery",
"descriptionType": "manual",
"toolDescription": "List all available tables."
},
"credentials": {
"postgres": {
"id": "elRn5sxKOfCdlEs6",
"name": "Postgres account"
}
},
"typeVersion": 2.6
},
{
"id": "efcf7ff3-976e-448a-9d47-47a98f3b0fcb",
"name": "다른 워크플로우에서 실행 시",
"type": "n8n-nodes-base.executeWorkflowTrigger",
"position": [
280,
200
],
"parameters": {
"workflowInputs": {
"values": [
{
"name": "operation"
},
{
"name": "tableName"
},
{
"name": "values",
"type": "object"
},
{
"name": "where",
"type": "object"
}
]
}
},
"typeVersion": 1.1
},
{
"id": "abd292d7-fc2b-4e98-a474-b50e44d16b6c",
"name": "테이블 레코드 생성",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-240,
400
],
"parameters": {
"name": "CreateTableRows",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to create a row in the database.",
"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', `Name of table to update`, '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": "4a71d42a-99a5-489e-b449-09c3c5081505",
"name": "테이블 레코드 읽기",
"type": "n8n-nodes-base.postgres",
"position": [
760,
0
],
"parameters": {
"query": "SELECT * FROM {{ $json.tableName }}\n{{ $json.where && Object.keys($json.where).length > 0\n ? `WHERE ` + Object.keys($json.where).map((key,idx) => `${key} = $${idx+1}`).join(' AND ')\n : ''\n}}",
"options": {
"queryReplacement": "={{ Object.values($json.where).join(',') }}"
},
"operation": "executeQuery"
},
"credentials": {
"postgres": {
"id": "elRn5sxKOfCdlEs6",
"name": "Postgres account"
}
},
"typeVersion": 2.6,
"alwaysOutputData": true
},
{
"id": "bdc60aa8-9ab1-4bbd-8b9e-89c968d54043",
"name": "작업",
"type": "n8n-nodes-base.switch",
"position": [
460,
200
],
"parameters": {
"rules": {
"values": [
{
"outputKey": "READ",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "81b134bc-d671-4493-b3ad-8df9be3f49a6",
"operator": {
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "read"
}
]
},
"renameOutput": true
},
{
"outputKey": "INSERT",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "8d57914f-6587-4fb3-88e0-aa1de6ba56c1",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "insert"
}
]
},
"renameOutput": true
},
{
"outputKey": "UPDATE",
"conditions": {
"options": {
"version": 2,
"leftValue": "",
"caseSensitive": true,
"typeValidation": "strict"
},
"combinator": "and",
"conditions": [
{
"id": "7c38f238-213a-46ec-aefe-22e0bcb8dffc",
"operator": {
"name": "filter.operator.equals",
"type": "string",
"operation": "equals"
},
"leftValue": "={{ $json.operation }}",
"rightValue": "update"
}
]
},
"renameOutput": true
}
]
},
"options": {}
},
"typeVersion": 3.2
},
{
"id": "cdb5b556-3638-4fa5-94c6-bff0c03f6c89",
"name": "테이블 레코드 업데이트",
"type": "n8n-nodes-base.postgres",
"position": [
760,
400
],
"parameters": {
"query": "UPDATE {{ $json.tableName }}\nSET\n {{ Object.keys($json.values)\n .map((key,idx) => `${key} = $${idx+1}`)\n .join(',')\n}}\nWHERE\n {{ Object.keys($json.where)\n .map((key,idx) => `${key} = $${idx+Object.keys($json.values).length+1}`)\n .join(' AND ')\n}}",
"options": {
"queryReplacement": "={{ Object.values($json.values).join(',') }},{{ Object.values($json.where).join(',') }}"
},
"operation": "executeQuery"
},
"credentials": {
"postgres": {
"id": "elRn5sxKOfCdlEs6",
"name": "Postgres account"
}
},
"typeVersion": 2.6
},
{
"id": "9263fc78-321e-4c83-90d3-890dd87d6aed",
"name": "테이블 레코드 다중 업데이트",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
-100,
320
],
"parameters": {
"name": "UpdateTableRows",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to create a row in the database.",
"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,
"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": "dd7e28fb-b2c7-4084-bc9b-9aa3e0187682",
"name": "테이블 레코드 생성",
"type": "n8n-nodes-base.postgres",
"position": [
760,
200
],
"parameters": {
"query": "INSERT INTO {{ $json.tableName }}\n ({{ Object.keys($json.values).join(',') }})\nVALUES\n ({{ Object.keys($json.values).map((_,idx) => `$${idx+1}`).join(',') }})",
"options": {
"queryReplacement": "={{ Object.values($json.values).join(',') }}"
},
"operation": "executeQuery"
},
"credentials": {
"postgres": {
"id": "elRn5sxKOfCdlEs6",
"name": "Postgres account"
}
},
"typeVersion": 2.6
},
{
"id": "324503c0-117b-45ec-97dd-7074eb1db22e",
"name": "테이블 행 읽기",
"type": "@n8n/n8n-nodes-langchain.toolWorkflow",
"position": [
20,
240
],
"parameters": {
"name": "ReadTableRows",
"workflowId": {
"__rl": true,
"mode": "id",
"value": "={{ $workflow.id }}"
},
"description": "Call this tool to read a row in the database.",
"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', ``, '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": "9cf39ca3-b704-49ce-b6e2-db2703c4acad",
"name": "스티키 노트",
"type": "n8n-nodes-base.stickyNote",
"position": [
-520,
-120
],
"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": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"name": "PostgreSQL MCP 서버",
"type": "@n8n/n8n-nodes-langchain.mcpTrigger",
"position": [
-340,
20
],
"webhookId": "a5fd7047-e31b-4c0d-bd68-c36072c3da0d",
"parameters": {
"path": "a5fd7047-e31b-4c0d-bd68-c36072c3da0d"
},
"typeVersion": 1
},
{
"id": "416a09d5-c327-410d-b951-a2d08402c6fe",
"name": "스티키 노트1",
"type": "n8n-nodes-base.stickyNote",
"position": [
180,
-120
],
"parameters": {
"color": 7,
"width": 820,
"height": 720,
"content": "## 2. Keep Secure by Preventing Raw SQL Statements\n[Read more about the PostgreSQL Node](https://docs.n8n.io/integrations/builtin/app-nodes/n8n-nodes-base.postgres/)\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": "0187fb3f-4c31-461d-84e9-4a4a0bf4188d",
"name": "스티키 노트2",
"type": "n8n-nodes-base.stickyNote",
"position": [
-1000,
-560
],
"parameters": {
"width": 440,
"height": 1320,
"content": "## Try It Out!\n### This n8n demonstrates how to build a simple PostgreSQL MCP server to manage your PostgreSQL database such as HR, Payroll, Sale, Inventory and More!\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/postgres\n\n### How it works\n* A MCP server trigger is used and connected to 5 tools: 2 postgreSQL and 3 custom workflow.\n* The 2 postgreSQL tools are simple read-only queries and as such, the postgreSQL 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 standard PostgreSQL node 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 PostgreSQL MCP server allows any compatible MCP client to manage a PostgreSQL database by supporting select, create and update operations. You will need to have a 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 help me check if Alex has an entry in the users table. If not, please help me create a record for her.\"\n * \"What was the top selling product in the last week?\"\n * \"How many high priority support tickets are still open this morning?\"\n\n### Requirements\n* PostgreSQL for database. This can be an external database such as Supabase or one you can host internally.\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": "bc4e427f-f6fd-4243-844a-8edf2dc1a0e9",
"name": "스티키 노트3",
"type": "n8n-nodes-base.stickyNote",
"position": [
-520,
-240
],
"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
}
],
"pinData": {},
"connections": {
"bdc60aa8-9ab1-4bbd-8b9e-89c968d54043": {
"main": [
[
{
"node": "4a71d42a-99a5-489e-b449-09c3c5081505",
"type": "main",
"index": 0
}
],
[
{
"node": "dd7e28fb-b2c7-4084-bc9b-9aa3e0187682",
"type": "main",
"index": 0
}
],
[
{
"node": "cdb5b556-3638-4fa5-94c6-bff0c03f6c89",
"type": "main",
"index": 0
}
]
]
},
"8ffeefb9-357c-41bc-8239-0c07c706be97": {
"ai_tool": [
[
{
"node": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"type": "ai_tool",
"index": 0
}
]
]
},
"324503c0-117b-45ec-97dd-7074eb1db22e": {
"ai_tool": [
[
{
"node": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"type": "ai_tool",
"index": 0
}
]
]
},
"0c49141e-128c-424e-afdf-ea131b7a3dd8": {
"ai_tool": [
[
{
"node": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"type": "ai_tool",
"index": 0
}
]
]
},
"4a71d42a-99a5-489e-b449-09c3c5081505": {
"main": [
[]
]
},
"dd7e28fb-b2c7-4084-bc9b-9aa3e0187682": {
"ai_tool": [
[
{
"node": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"type": "ai_tool",
"index": 0
}
]
]
},
"9263fc78-321e-4c83-90d3-890dd87d6aed": {
"ai_tool": [
[
{
"node": "ac3d9b98-8f1e-4abd-972c-1725aac1ad1e",
"type": "ai_tool",
"index": 0
}
]
]
},
"efcf7ff3-976e-448a-9d47-47a98f3b0fcb": {
"main": [
[
{
"node": "bdc60aa8-9ab1-4bbd-8b9e-89c968d54043",
"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?
중급 - 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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46 노드Jimleuk
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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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