A developer discovered that FastMCP, a popular Python framework for building Model Context Protocol servers, generates contradictory tool schemas for optional parameters, listing null as the default w…
A developer demonstrates how to use MCP's Resource primitive to synchronize knowledge graphs across concurrent LangGraph agent conversations, preventing context loss in support bots. The approach defi…
The Model Context Protocol (MCP) is moving toward a stateless protocol model, allowing requests to reach any server instance without sticky routing or shared session state. A developer recently migrat…
A developer's blog post argues that AI agents have undone twenty years of API curation by re-selecting tools at runtime instead of design time, and proposes a 'capabilities' layer to restore curation.…
A developer wired three MCP servers into an agent and found that tool schemas consume about 7,000 tokens per turn, and because LLM API calls are stateless, those tokens are re-sent on every turn, lead…
Remarc, a free and open-source macOS app, lets users provide structured, contextual feedback to AI coding agents by selecting text, annotating screenshots, or commenting on web elements, with each com…
Manthan, a Model Context Protocol (MCP) server for storing concept cards with prerequisite links, was released on Hacker News. The tool lets users create decks of concept cards that show prerequisite …
A developer's hands-on comparison found that switching from a standard chat-based AI workflow to a native agentic workflow reduced a legacy Express.js middleware migration from four hours to 12 minute…
LoreKit released a free, open-source local and remote memory system for coding agents, installable with one command and no signup. The system stores memories as plain files on the user's disk, with an…
A developer detailed a local-first AI architecture that prioritizes on-device computation with cloud APIs as fallback, citing projects like OpenWork that cut API spend by 87% and improved response tim…
A developer argues that small businesses should not expose every available tool to their AI agents, but instead provide a narrow, task-specific set to reduce ambiguity and errors. The post recommends …
A developer recounts spending three hours debugging an AI agent that repeatedly read the same files due to a state-management failure, and says the fix required moving memory from the LLM's prompt int…
A developer rebuilt the Cerebras knowledge base as an MCP server that exposes raw, LLM-free retrieval tools for external agents like Claude Code. The server makes zero model calls, instead handing rec…
Companies across different industries are converging on the same challenge: how to make large language models (LLMs) perform repeatable, trustworthy work in software development, according to Yusuf Ay…
An engineer building an MCP server for a customer-service platform with a REST API shares four mistakes made when wiring tools directly to the service layer. The developer emphasizes routing all tool …
Developer Rehan30g built Conduit, a Python-based approval tool that lets AI coding agents request permission to run system commands via a popup dialog, eliminating the need to alt-tab to a terminal. T…
PyScrappy, an AI-native web scraping toolkit that converts websites into structured, LLM-ready data, has been released as a Python library and MCP server, featuring self-healing selectors, JS renderin…
A developer shipped an open-source MCP server for code review with zero marketing budget and gained 650+ PyPI installs and listings in five directories within a month. The playbook highlights director…
An engineer at MCP explains the key differences between the stdio and Streamable HTTP transports for the Model Context Protocol, noting that the HTTP+SSE transport from the 2024-11-05 revision has bee…
A developer detailed a postmortem of an agentic AI system built with LangGraph and MCP that failed when the Google Maps API changed its response format, causing the agent to loop indefinitely. The dev…