You will get a secure MCP server that lets AI agents safely query and update Postgres
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Project details
Model Context Protocol (MCP) is the open standard that lets AI agents connect to external systems. Most Postgres MCP servers are read-only — because letting an agent modify a production database is genuinely risky.
This one writes safely. Every insert, update, and delete runs first inside a rolled-back transaction, so you see the exact number of affected rows before anything commits. Writes above a threshold you choose pause for human approval. Every action lands in an append-only audit log you can query.
You run it against your own database using setup scripts I provide. I never receive your credentials, your connection string, or your data — only a schema dump.
Works with any MCP client, including Claude Desktop, Claude Code, Cursor, VS Code, and ChatGPT.
Every tier includes full source code, setup scripts, configuration for your tables, and a recorded handoff walkthrough.
This one writes safely. Every insert, update, and delete runs first inside a rolled-back transaction, so you see the exact number of affected rows before anything commits. Writes above a threshold you choose pause for human approval. Every action lands in an append-only audit log you can query.
You run it against your own database using setup scripts I provide. I never receive your credentials, your connection string, or your data — only a schema dump.
Works with any MCP client, including Claude Desktop, Claude Code, Cursor, VS Code, and ChatGPT.
Every tier includes full source code, setup scripts, configuration for your tables, and a recorded handoff walkthrough.
AI Algorithms
Large Language ModelAI Applications
AI-Generated Code, AIOpsAI Models
ChatGPT, GPT-4What's included
| Service Tiers |
Starter
$100
|
Standard
$300
|
Advanced
$900
|
|---|---|---|---|
| Delivery Time | 2 days | 4 days | 7 days |
Number of Revisions | 1 | 2 | 3 |
AI Model Integration | |||
Batch Normalization | - | - | - |
Database Integration | |||
Detailed Code Comments | |||
Image Upscaling | - | - | - |
MLOps | - | - | |
Model Deployment | - | - | |
Model Documentation | |||
Model Monitoring | - | - | |
Model Testing & Optimization | - | ||
Model Tuning | - | - | - |
Natural Language Processing | - | - | - |
NLP Tokenization | - | - | - |
Pre-Training | - | - | - |
Prompt Engineering | - | - | - |
Setup File | |||
Source Code |
Optional add-ons
You can add these on the next page.
Additional Revision
+$100
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TT
Tim T.
Jan 7, 2026
Revised canned demo for v15
Juan is incredibly talented, and always produces rock-solid code for us.
TT
Tim T.
Nov 29, 2023
Create an AI-powered customer support chatbot
TT
Tim T.
Nov 29, 2023
Create a Current Utilization Widget
TT
Tim T.
Nov 29, 2023
Revised canned demo for v14
TT
Tim T.
Nov 29, 2023
Modify IR product demo
About Juan Pablo
AI-powered Full Stack Engineer
100%
Job Success
Rio Cuarto, Argentina - 12:08 pm local time
I offer specialized services in AI integration. I have experience hosting and deploying custom fine-tuned LLM models for production environments. I am currently building custom MCP servers and specialized agents/workflows.
Steps for completing your project
After purchasing the project, send requirements so Juan Pablo can start the project.
Delivery time starts when Juan Pablo receives requirements from you.
Juan Pablo works on your project following the steps below.
Revisions may occur after the delivery date.
Schema review
I review your schema dump and confirm the read/write table scope with you.
Configuration
I build your allowlist config, write-path rules, and approval thresholds.