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A detailed look at MCP that turned my scattered tool definitions into a stable, discoverable server The post The Protocol That Cleaned Up Our Agent Architecture appeared first on Towards Data Science.
Read full articleClaude Code is a layered agentic coding tool, not a single chat prompt. This guide breaks down 25 features, from CLAUDE.md, skills, subagents, and hooks to MCP and Auto Mode. It includes a comparison table, working code examples, real use cases, and an interactive demo you can try. The post Claude Code Guide 2026: 25 Features with Examples + Demo appeared first on MarkTechPost.
30M smart accounts set the stage as MetaMask adds $10k protection and Base opens MCP. DeFi’s next risk layer is authorization, not yield.
Model Context Protocol (MCP) has gained considerable momentum as a standard connector between LLM-powered tools and local systems, internal and external APIs, and data sources. From major clouds to devops tools, MCP servers are enabling powerful, AI-powered development and operations capabilities through natural language commands. Nowhere is this more true than in the world of databases. Most major database platforms now support agentic access through MCP servers. Using an MCP server for databases, you and your AI agent proxies can perform lookups, create and update data, and perform administrative tasks without you having to write SQL by hand. The MCP server could also guide your LLMs to write new code or build automations that align with your database schema, like its tables, structure, and fields, as well as embeddings, indexes, and metadata. It could also aid debugging by enabling faster queries to surface data issues or misconfigurations, along with plenty of other possible use ca
Kimi Code CLI is Moonshot AI's open-source terminal coding agent, written in TypeScript with subagents and MCP configuration. The post Moonshot AI Releases Kimi Code CLI: A Terminal AI Coding Agent Built in TypeScript for Next-Gen Agents appeared first on MarkTechPost.
By Liam Reid, Senior Product Manager, Legatics. Most law firms now have at least one generative AI tool in production. Many have several. The frontier ...
Enterprises using the lightweight, open-source Flowise platform to power self-hosted AI workloads now have a new near-max-severity issue to worry about. Researchers at Obsidian Security have detailed a one-click remote code execution (RCE) vulnerability affecting self-hosted Flowise deployments through its implementation of Model Context Protocol (MCP) stdio servers. The problem is essentially a sandboxing failure of attacker-controlled MCP configurations, leading to server-side code execution. “Post-auth RCE in Flowise can be triggered with a single click via a malicious chatflow import before any save or run,” the researchers said in a blog post. “The official patch relies on input validation that is trivially bypassed and fails to address the root cause.” Flowise is commonly used to develop internal AI assistants, retrieval-augmented generation (RAG) applications, customer-facing chatbots, and autonomous agents connected to business systems. The flaw does not affect Flowise Cloud, a
Nous Research's Hermes Agent adds Tool Search to fix MCP context bloat using BM25 progressive schema disclosure. The post Hermes Agent Ships Tool Search for MCP: Anthropic Evals Show 49% to 74% Accuracy Gain on Opus 4 appeared first on MarkTechPost.
Base launches Base MCP, letting ChatGPT and Claude agents connect to Base Accounts for swaps, transfers, portfolios, and app access. The post Base launches MCP to connect ChatGPT and Claude agents to onchain wallet actions appeared first on Crypto Briefing.
