EnrichMCP – A Python ORM for Agents
I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your data model using SQLAlchemy, APIs, or custom logic, and EnrichMCP turns it into a type-safe, introspectable interface that agents can discover, traverse, and invoke. It auto-generates tools from your models, validates all I/O with Pydantic, handles relationships, and…
EnrichMCP – A Python ORM for Agents launched on June 19, 2025 with 133 votes, #311 of 7,999 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 1 year on.
In plain words
EnrichMCP is an open-source Python ORM framework that enables AI agents to interact with data in a structured, semantic way. Built on the Model Context Protocol, it lets developers define data models using SQLAlchemy, APIs, or custom logic, then auto-generates type-safe tools that agents can discover and use. The framework validates input and output with Pydantic, handles data relationships, and supports schema discovery. It is designed for teams building AI systems that need to query databases, call APIs, apply business logic, or integrate machine learning models.
written from the facts on this page · September 2026
From the sources
EnrichMCP is a python framework for building data driven MCP servers - featureform/enrichmcp
In the maker’s words, at launch
I've been working with the Featureform team on their new open-source project, [EnrichMCP][1], a Python ORM framework that helps AI agents understand and interact with your data in a structured, semantic way. EnrichMCP is built on top of [MCP][2] and acts like an ORM, but for agents instead of humans. You define your…
Does a similar job
all alternatives →
PylarDec 2025 · pylar.ai · ▲502Hey HN! We're Hoshang & Vishal, the team behind Pylar - a governed access layer between databases and LLMs. We previously led data and AI and we kept seeing the same problem across teams using LLMs internally: agents are great with unstructured data, but the moment you want them touching your actual systems of record — Snowflake, Postgres, CRMs, product DBs — everything becomes fragile, risky, or outright unsafe. Two issues show up every single time: 1. Agents over-querying They don’t understand cost. They’ll happily generate queries that blow up your warehouse bill. 2. Accidental data…

Agent M - Powered by Floatbot.AI2023 · floatbot.ai · ▲268Generative AI powered Master Agent Developer Framework

- PTPolymcp – Turn Any Python Function into an MCP Tool for AI AgentsJan 2026 · ▲23
I built Polymcp, a framework that allows you to transform any Python function into an MCP (Model Context Protocol) tool ready to be used by AI agents. No rewriting, no complex integrations. Examples Simple function: from polymcp.polymcp_toolkit import expose_tools_http def add(a: int, b: int) -> int: """Add two numbers""" return a + b app = expose_tools_http([add], title="Math Tools") Run with: uvicorn server_mcp:app --reload Now add is exposed via MCP and can be called directly by AI agents. API function: import requests from polymcp.polymcp_toolkit import expose_tools_http def…
Pydantic – Data validation using Python 3.6 type hinting2017 · pydantic-docs.helpmanual.io · ▲120Documentation for the Pydantic stack. Validate data with Pydantic Validation, build production AI agents with Pydantic AI, and monitor LLM calls, agent behavior, and costs with Pydantic Logfire.
More ai this month
the category →



Paintings by AI models: programs run through a simulation of oil paint.
AI · 20d ago · stillwet.art

PixVerse R2▲381A real-time world model you can explore and change
AI · 28d ago · world.pixverse.video
Source: Show HN post ↗ · launch text quoted in part
Launched alongside, June 2025
the whole month →- IM
Hey HN! Pilots everywhere are required to keep a logbook of all their flying hours, aircraft, airports, and so on. Since I track everything digitally (some people still just use paper logbooks!), I put together some data visualizations and a few 3D globes to show my flying history. This globe is probably my favourite so far: https://jameshard.ing/pilot/globes/all If you’ve got ideas for other graphs or ways to show this kind of data, I’d love to hear them!
Life & fun · 2025 · jameshard.ing

Stunning presentations with AI. No design skills required.
AI · 2025 · chroniclehq.com

Build native mobile apps for iOS and Android without code.
Dev tools · 2025 · bble.io


All your connections, across all your socials.
AI · 2025 · pally.com

I was the main contributor to workout.lol, an open-source fitness app to easily build a workout routine. The project had traction (1.4k GitHub stars, 95 forks, ~20K visits/month), but was eventually sold due to video licensing hurdles. The new owner stopped maintaining it, and the repo went abandoned. Over the next 9 months, I sent 15 emails to try to save it : no replies. Feature requests & issues were ignored. The community was left with a "broken" tool let's say. I couldn't just let it die So I built the new version from scratch with the same open-source spirit, but a better…
Dev tools · 2025 · github.com