MCP Server Prompt Bloat
Adding relative date support to an MCP server required about four new tool calls with detailed descriptions, increasing prompt tokens to over a thousand and highlighting a tradeoff between agentic AI …
Adding relative date support to an MCP server required about four new tool calls with detailed descriptions, increasing prompt tokens to over a thousand and highlighting a tradeoff between agentic AI …
Developer Michal Piszczek released a suite of 12 free AI economics calculators at piszczek.pl/tools, designed to quantify AI costs, energy use, and agent verification. The tools include a token cost c…
A developer created MCP Radar, a tool that groups MCP servers by lifecycle status to help users identify maintained projects. The catalog lists 1,080 active servers, 95 at risk, 9 abandoned, and 1 not…
SerpApi and Anthropic's Claude Code can be used to build an AI event discovery agent that finds conferences, meetups, and webinars matching user preferences and generates a Markdown report with Google…
A developer reports greater success and enjoyment using agentic AI with small local models, such as Gemma 4 E4B via llama-cpp and an MCP server, for disliked tasks like website management, compared to…
A developer created a local MCP server in Rust to run commonly-needed commands via an AI agent, arguing that the approach offers error correction, command chaining, and an improved browser-based UI ov…
Developers have built specialized Codex integrations including BeatFlow, which composes multi-track MIDI files from musical briefs by converting them into Python composition plans with explicit timing…
Neleto's block-based visual page builder and MCP server integration let users build a landing page in 11 minutes by hand or 90 seconds via AI prompt. A developer built the same page twice, finding the…
The developer rewrote their MCP server to use Stdio input and output instead of HTTP, reducing code from 300 lines to about 60 lines using the Rust crate RMcp. The Stdio MCP server functions as a cons…
A developer created a simple MCP server for local LLMs to call Rust-coded tools, but encountered CORS errors. The llama-cpp feature ui-mcp-proxy, passed as an argument to llama-server, sets up a proxy…
A developer created a local MCP server to extend llama-cpp's tool capabilities, finding that models like Gemma 4 12B reliably call MCP-provided tools. The server, written first in Python then Rust, of…
A developer built a failure library for their MCP server that allows AI agents to learn from crashes and share fixes. The JSON-based cache logs errors and verified solutions, enabling agents to avoid …
Medusa v2.18 was released on July 23, 2026, with new features, developer experience improvements, and bug fixes, including community contributions that doubled unique monthly contributors from about 1…
Manifold Security disclosed on July 21 that hidden HTML comments in Azure DevOps pull-request descriptions can inject instructions into AI agents using Microsoft's official MCP server, enabling cross-…
Val Town, the social programming environment, announced support for AGENTS.md files, allowing agents like Townie to read per-val, per-user, and per-org instructions. The feature is available to all ag…
An engineer at Vinkius argues that developers should stop writing custom API wrappers for Anthropic and instead use the Model Context Protocol (MCP) server, which turns the Messages API into a set of …
A developer built a 4-stage stock screening funnel using the EODHD Screener API and Claude, filtering over 3,000 US-listed stocks down to 10 based on profitability, liquidity, and earnings yield. The …
Teams should stop building full AI apps for every idea and instead build MCP servers that expose capabilities as tools, resources, and prompts, leveraging existing AI clients like Claude or OpenAI. Th…
Framesmith 1.8 introduces structured human feedback for AI-driven UI design, allowing users to click on elements and attach comments that are stored as git-diffable data. This closes the gap between m…
SaaS products are shifting from embedding dashboards for human users to exposing customer-facing MCP servers that AI agents can query directly, driven by customer demand for agent-native data access. …