Emulating Dr. Jordan B. Peterson's style in providing life advice and insights.
🚀 MCP-Powered Streamlit Dashboard with Ollama + PostgreSQL
A modern data analysis tool that lets you:
- Query your PostgreSQL database with natural language
- Run SQL manually or generate it using LLMs (Ollama)
- Analyze data with charts, statistics, and export to CSV
🧠 Prompt-to-SQL Flow
graph TD
A[🧑 User types a data question] --> B[Streamlit sends prompt to Ollama API]
B --> C[Ollama generates SQL query as text]
C --> D[Streamlit extracts the SQL]
D --> E[Streamlit sends SQL to MCP server]
E --> F[MCP executes query on PostgreSQL]
F --> G[Results returned to Streamlit]
G --> H[📊 Results shown + Chart + CSV Export]
📦 Architecture
- Streamlit – UI + charting
- MCP (FastMCP) – Tools/resources for SQL query and table listing
- PostgreSQL – Stores your company data
- Ollama – LLM that translates natural language prompts to SQL
📌 Features
✅ Natural language → SQL
✅ Charting (bar/line/time series)
✅ CSV download
✅ Statistical summary
✅ Prompt explainability with raw output
✅ Auto-detect date/time fields
✅ LLM integration with llama3 (configurable)
🛠️ Getting Started
git clone <this-repo>
cd postgres-mcp-server
docker-compose up --build
- Access UI: http://localhost:8501
- MCP API: http://localhost:3333/mcp
⚙️ Env Configuration
MCP_API_URL=http://mcp-server:3333/mcp
OLLAMA_URL=http://ollama:11434/api/generate
📤 Prompt Example
“List departments with average salary > 50000”
👉 Translated to SQL:
SELECT department, AVG(salary) FROM employees GROUP BY department HAVING AVG(salary) > 50000;
Why is this a good use case for MCP?
🔗 MCP makes it dead simple to expose structured tools like SQL queries to LLMs. 🎯 Agents can discover and call your tools without hardcoding logic. 💬 You get the best of both worlds — interpretability, flexibility, and control.
Whether you're building internal tools, research dashboards, or intelligent agents — this pattern is reusable, secure, and 100% local.
📄 License
MIT
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Reviews
2
(5)
user_AN1bW5aK
2025-04-23
As a dedicated user of mcp-ollama-postgres, I can confidently say that this tool has been a game-changer for my database management tasks. Created by rajeevchandra, its seamless integration with PostgreSQL and user-friendly interface have significantly boosted my productivity. The initial setup was straightforward, and the welcome information provided clear guidance. Highly recommend this for efficient database handling!
user_htYF6BE7
2025-04-23
I've been using the mcp-ollama-postgres app by rajeevchandra and I am thoroughly impressed. The seamless integration with PostgreSQL and the intuitive design have significantly boosted my productivity. The welcome information is clear and helpful, making the initial setup a breeze. Overall, a fantastic tool for any developer working with PostgreSQL databases. Highly recommend!
user_hY4FVtD0
2025-04-23
As a dedicated user of mcp-ollama-postgres, I am thoroughly impressed with this tool. It seamlessly integrates PostgreSQL with Ollama, significantly enhancing my database management workflows. Rajeevchandra has crafted an intuitive and user-friendly experience, making complex operations straightforward. Highly recommended for anyone looking to streamline their database tasks.
user_JCkvnTQd
2025-04-23
As a loyal user of the mcp-ollama-postgres application, I am genuinely impressed by its robust integration and efficiency. Developed by rajeevchandra, this tool seamlessly connects Postgres databases for optimal performance and management. It simplifies complex processes and provides intuitive navigation through its well-designed interface. It's truly an indispensable asset for database administrators and developers alike.
user_7hh85nC3
2025-04-23
As a dedicated user of the mcp-ollama-postgres application, I am thoroughly impressed by its seamless integration and robust functionality. Developed by rajeevchandra, this tool has significantly optimized my database management tasks. The user-friendly interface and reliable performance make it an essential asset for anyone working with PostgreSQL. Highly recommended!