Implementing MCP Servers in Python: An AI Shopping Assistant with Gradio

Tiny Agents in Python: a MCP-powered agent in ~70 lines of code

Connect the dots: Build with built-in and custom MCPs in Studio

Connect enterprise data to your AI applications with reusable connectors, direct tool calling, and human-in-the-loop approval controls.

Five Big Improvements to Gradio MCP Servers

Building a Multi-Agent System in Python

An introduction to multi-agent systems The post Building a Multi-Agent System in Python appeared first on Towards Data Science .

MCP for Research: How to Connect AI to Research Tools

Tiny Agents: an MCP-powered agent in 50 lines of code

Learning to Configure Agentic AI Systems

The paper introduces ARC, a lightweight hierarchical policy that learns to configure LLM‑based agent systems on a per‑query basis by treating each configuration as a temporally extended option in a semi‑Markov decision process. Unlike fixed templates or hand‑tuned heuristics, ARC dynamically selects workflows, tools, token budgets, and prompts tailored to the difficulty of each query. Experiments on reasoning, tool‑use, and agentic benchmarks show that ARC outperforms budget‑matched tool‑augmented LLMs, boosting reasoning accuracy by 31.3%, tool‑use accuracy by 13.95%, and doubling success on the τ‑Bench Airline Pass task from 9.0% to 18.0%.

Orchard: An open framework for scalable agentic AI

Orchard is an open-source framework for the research community to train and evaluate AI agents across task types. It reduces complexity while supporting strong performance from smaller models by enabling researchers to reuse the same infrastructure.

Introducing the Stateful Runtime Environment for Agents in Amazon Bedrock

Stateful Runtime for Agents in Amazon Bedrock brings persistent orchestration, memory, and secure execution to multi-step AI workflows powered by OpenAI.

MCP Explained: How Modern AI Agents Connect to the Real World

from custom integrations to a universal standard for tool access The post MCP Explained: How Modern AI Agents Connect to the Real World appeared first on Towards Data Science .

Buy it in ChatGPT: Instant Checkout and the Agentic Commerce Protocol

We’re taking first steps toward agentic commerce in ChatGPT with new ways for people, AI agents, and businesses to shop together.

Netomi’s lessons for scaling agentic systems into the enterprise

How Netomi scales enterprise AI agents using GPT-4. 1 and GPT-5.