Alternatives
Products that do what AI-Driven Index Tuning With Postgres MCP Server does
Hey HN, Postgres Pro is an open source Model Context Protocol (MCP) server built to support every stage of the development process. It does a lot more than help generate and run SQL—it helps you make sure your application and database actually run well. Features: - Industrial-strength tuning algorithms similar to those in MS SQL Server - “What if?” tool to evaluate LLM-generated index suggestions - Works with Cursor, etc., to make changes in ORM code - Ensures safe SQL execution with restricted mode - Includes health checks to stay ahead of production problems
- 1CR
Hey HN, I built pg-mcp, a Model Context Protocol (MCP) server for PostgreSQL that provides structured schema inspection and query execution for LLMs and agents. It's multi-tenant and runs over HTTP/SSE (not stdio) Features - Supports multiple database connections from multiple agents - Schema Introspection: Returns table structures, types, indexes and constraints; enriched with descriptions from pg_catalog. (for well documented databases) - Read-Only Queries: Controlled execution of queries via MCP. - EXPLAIN Tool: Helps smart agents optimize queries before execution. - Extension…
2025 · github.com
- 2PI
This is a Postgres extension that can determine if a query should have an index. For example, for this table: create table book( id int primary key, title text not null ); You can run `index_advisor()` to see if there should be an index on a select statement: select * from index_advisor('select book.id from book where title = $1'); And it will return (summarized): {"CREATE INDEX ON public.book USING btree (title)"} It works particularly well with pg_stat_statements[0] which tracks execution statistics of all SQL statements executed on your Postgres database. It leans heavily on HypoPG[1], an…
2024 · github.com
- 3PN
We've been hard at work for a few weeks and thought it's time for another update. In case you missed our first post, PostgresML is an end-to-end machine learning solution, running alongside your favorite database. This time we have more of a suite offering: project management, visibility into the datasets and the deployment pipeline decision making. Let us know what you think! Demo link is on the page, and also here: https://demo.postgresml.org
2022 · postgresml.org
- 4BP
Hi HN! We're Evgeny and Arjun, and we’re building a better way to do analytics with Postgres. We love Postgres for its simplicity, power, and rich ecosystem. But engineers have to still get bogged down with heavyweight and expensive OLAP systems when connecting an analytics data stack. Postgres is amazing at OLTP queries, but not for OLAP queries (large data scans and aggregations). Even in this case, we’ve still heard from countless scaling startups that they still try to use only a read replica to run analytics workloads since they don’t want to deal with the data engineering complexity of…
2024 · github.com
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- 7PE
Last summer we faced a conundrum at my company, Tiger Data, a Postgres cloud vendor whose main business is in timeseries data. We were trying to grow our business towards emerging AI-centric workloads and wanted to provide a state-of-the-art hybrid search stack in Postgres. We'd already built pgvectorscale in house with the goal of scaling semantic search beyond pgvector's main memory limitations. We just needed a scalable ranked keyword search solution too. The problem: core Postgres doesn't provide this; the leading Postgres BM25 extension, ParadeDB, is guarded behind AGPL; developing our…
Mar 2026 · github.com
- 8PA
Hi HN. This is a project I've been building for the last month. It's a macOS postgres client that uses your OpenAI key to generate and immediately execute queries against your database locally on your machine. I imagine the user being someone familiar with SQL and able to identify errors in the generated code, but regularly needs to write queries to answer relatively simple questions. This is my first software project I'm intending on selling myself and would love feedback on the product and landing page. I'd also love ideas on how to market it to users, as I'm very new to this. In the near…
2023 · pgmagic.app
- 9PS
Hey HN! Lev and Justin here, authors of PgDog (https://pgdog.dev/), a connection pooler, load balancer and database sharder for PostgreSQL. If you build apps with a lot of traffic, you know the first thing to break is the database. We are solving this with a network proxy that works without requiring application code changes or database migrations. Our post from last year: https://news.ycombinator.com/item?id=44099187 The most important update: we are in production. Sharding is used a lot, with direct-to-shard queries (one shard per query) working pretty much…
Feb 2026 · github.com
- 10PA
Sep 2025 · github.com
- 11PS
Hey HN! Lev here, author of PgDog (https://github.com/pgdogdev/pgdog). I’m scaling our favorite database, PostgreSQL. PgDog is a new open source proxy, written in Rust, with first-class support for sharding — without changes to your app or needing database extensions. Here’s a walkthrough of how it works: https://www.youtube.com/watch?v=y6sebczWZ-c Running Postgres at scale is hard. Eventually, one primary isn’t enough at which point you need to split it up. Since there is currently no good tooling out there to do this, teams end up breaking their apps…
2025 · github.com
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- 13MS
For the past 10 years at Timescale (now Tiger Data), I've been been watching developers make mistakes in database design: forgetting to index foreign keys, creating case-sensitive email lookups, using arbitrary VARCHAR limits. And I've seen the pain and frustration when there is major downtime and botched migrations fixing things. AI coding could have made this better but is only making things worse. It's infuriating. So, I (along with my awesome team at Tiger Data) built an MCP server that auto-injects Postgres best practices into AI context to help. The biggest innovation: our…
Oct 2025 · github.com
- 14P2
Mar 2026 · github.com
- 15PA
- 16OS
Large Language Models (LLMs) are powerful, but they’re limited by fixed context windows and outdated knowledge. What if your AI could access live search, structured data extraction, OCR, and more—all through a standardized interface? We built the JigsawStack MCP Server, an open-source implementation of the Model Context Protocol (MCP) that lets any AI model call external tools effortlessly. Here’s what it unlocks: - Web Search & Scraping: Fetch live information and extract structured data from web pages. - OCR & Structured Data Extraction: Process images, receipts, invoices, and handwritten…
2025
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- 18PP
Hey! I'm Andrei. I got frustrated by how people tend to build overcomplicated backend systems, being "motivated" by big tech case studies and popular books. So, I started exploring lean architecture, and building my digital garden of ideas, approaches and data that align with this direction. Here I want to present one of the tools – Sizing tool for PostgreSQL. I've benchmarked PostgreSQL on different EC2 instances and disks, with different initial data sets to see performance that these instances can give you. And I've built a tool to visualize this data, which I welcome you to explore. So,…
Jul 2026 · postgres.saneengineer.com
- 19DP
Hi HN, Over the past few months I've been building DB Pro with my co-founder. DB Pro is a modern desktop database GUI client designed to make working with Postgres, MySQL, SQLite, libSQL and other engines feel fast, visual, and enjoyable. Our focus has been on the dev-experience. We wanted to absolutely nail the UX and look and feel as we believe most db clients aren't friendly to work with. Some features: Visual change review – See pending inserts/updates/deletes before committing them. Inline data editing – Edit table rows directly without clunky modal dialogs. Raw SQL editor – A…
Nov 2025 · dbpro.app
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- 21PA
2024 · github.com
- 22PN
pg_netstat is a Postgres extension to monitor database network traffic. It uses libpcap to capture packets and aggregates at user-specified interval.
2022 · github.com
- 23PP
2022 · github.com
- 24AM
Hey all - I work at Vantage, a FinOps platform. I know AI is peak hype right now. But it has definitely changed some of our dev workflows already. So we wanted to find a way to let our customers experiment with how they can use AI to make their cloud cost management work more productive. The MCP Server acts as a connector between LLMs (right now only Claude, Cursor support it but ChatGPT and Google Gemini coming soon) and your cost and usage data on Vantage which supports 20+ cloud infra providers including AWS, Datadog, Mongo, etc. (You have to have a Vantage account to use it since it's…
2025
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