Tech News
← Home  ·  All topics

Mcp

25 GoKawiil briefs on this topic

Datamimic Community Edition offers open-source engine for synthetic test data

Datamimic has released a Community Edition of its data engine as an open-source, MIT-licensed, Python-native tool that generates deterministic synthetic datasets and pseudonymizes PII in staging or QA exports. The CE version runs standalone across databases and file formats like PostgreSQL, MongoDB, CSV and JSON, while a paid Enterprise Platform adds governed workflows, PII scanning, access controls, audit logging and scheduling for regulated industries.

Paper2Agent tool converts research papers into interactive AI agents

Stanford researchers led by James Zou built a system called Paper2Agent that automatically transforms a scientific paper's text, code and data into an AI agent acting as a stand-in for its corresponding author. The tool deposits a paper's materials onto an MCP server, has AI agents build tools that apply the paper's methods to new data, and lets scientists query the resulting agent in plain language via any large language model. In one test, it built an agent for the AlphaGenome paper in about 45 minutes for $14, and that agent answered genetics questions with near-perfect accuracy.

Paper2Agent turns research papers into AI agents via Claude Code pipeline

Researchers built Paper2Agent, a system that converts a scientific paper and its accompanying codebase into a functional MCP server accessible through an AI agent interface. It uses a multi-agent architecture built on Claude Code's agent SDK, with a central orchestrator directing specialized sub-agents through a six-step process covering repository discovery, environment setup, tutorial scanning, and execution auditing.

Meta launches WhatsApp Business Tools MCP for AI agent-driven setup

Meta introduced a new MCP (Model Context Protocol) server called WhatsApp Business Tools MCP, letting AI coding agents like Claude, Cursor, Codex, or ChatGPT directly configure WhatsApp Business accounts. Instead of manually navigating the Developer Console, Business Manager, and API references, businesses can now simply describe what they need to an AI agent, which handles account creation, phone verification, Cloud API registration, and template management.

OpenAI launches Agents API built on Codex harness

OpenAI has released an Agents API that gives developers programmatic access to its Codex agent harness, handling session management, orchestration, context compaction and recovery on OpenAI's servers. Applications supply tools and choose an execution environment, including an OpenAI-hosted sandbox where agents can run code, edit files, and connect to MCP servers. Billing follows standard model, tool, and container rates, and OpenAI has published sample use cases like incident-response bots and GitHub issue investigators.

New CLI tool 'geiger' audits every AI agent and MCP server on a computer

A developer released geiger, a free command-line utility that scans a machine for installed AI agents, harnesses, MCP servers, plugins and extensions, then reports in plain language what each one can access. It runs via npx with no installation or account required, only reads configuration files and directories, and writes nothing to disk unless a JSON export is explicitly requested.

Engrim launches as local-first SQLite memory layer for AI coding agents

A new open-source tool called Engrim gives AI coding assistants persistent, project-level memory stored in a local SQLite database rather than tied to any single vendor's cloud. It lets developers switch between tools like Claude Code, Cursor, Windsurf and Google Antigravity mid-project while retaining architectural decisions and constraints, using a hybrid search combining SQLite FTS5 keyword search with lightweight vector embeddings. The creator reports it was validated over 105 sessions on a 50,000-line trading codebase with zero regressions and no loss of context across model switches.

Applied Compute launches AC2, a cloud platform for training open-weight AI models

Applied Compute has introduced Agent Cloud (AC2), a platform designed to give researchers a unified environment for training, running inference on, and continually updating open-weight AI models. The system includes a CLI, SDK, and MCP server, letting developers set it up through coding agents like Claude Code, Cursor, or Codex, or manually via a quickstart guide.

Robotics engineer finds LLM coding assistants struggle with visual debugging tasks

A robotics developer describes attempting to offload the tedious process of visually debugging robot code to an LLM coding assistant equipped with an image encoder and MCP server access to a visualizer tool. The experiment largely failed: the assistant lacked an intuitive sense of what correct robot behavior looks like and struggled to navigate the debugging GUI, taking minutes to reach a viewpoint the developer could reach in seconds.

Hacker News thread seeks real-world production users of Anthropic's MCP protocol

A Hacker News 'Ask HN' post questions whether Anthropic's Model Context Protocol, despite early hype, is actually being deployed in production systems. The poster asks respondents to share specific use cases and explain what benefits MCP offers over traditional APIs, direct tool integrations, or CLI-based workflows.

Keenable launches SELECT, an MCP agent that runs SQL queries over live web data

Keenable has released SELECT, an MCP server that lets an agent query the web using DuckDB SELECT statements instead of clicking through search results. The tool combines web search and fetch operators with semantic extraction functions inside SQL, filtering pages with exact WHERE clauses before sending only surviving rows to an LLM for field extraction. Each generated report links to the full trajectory of queries, tool calls, and result sets used to build it.

Opslane launches self-hosted tool that auto-detects and fixes user-facing bugs

Opslane is a new open-source platform that records user sessions to catch bugs beyond crash reports, including silent UX failures like unresponsive buttons or abandoned forms. It ranks issues by how many users are affected, investigates the highest-impact ones, and automatically opens verified pull requests when it can confirm a fix works in a sandbox environment. The system integrates with coding agents via an MCP server and delivers a daily Slack digest summarizing what broke and what's ready to merge.