mcp

codebase-memory-mcp is a tool written in pure C that parses the entire codebase into a knowledge graph, supports 158 programming languages, is compatible with 11 AI coding agent tools, greatly improving AI's understanding of project structure and reducing token consumption.

MetaHarness converts any GitHub repository into a custom AI agent harness with CLI, MCP service, memory, and signing, allowing deployment on multiple agent platforms.

AMD has released GAIA 0.21.2, introducing gaia-bash, an AI-powered bash scripting assistant for writing, reviewing, testing, and debugging shell scripts on AMD hardware. It supports multiple interfaces including TUI, CLI, pipe mode, REST API, and MCP stdio server.

The Enterprise-Managed Authorization extension for MCP is now stable, allowing organizations to centrally manage authorization for MCP servers and enabling zero-touch OAuth for end-users. Adopted by Anthropic, Microsoft, and Okta.

Atomic Mail launches an API-first email service that gives AI agents their own inboxes, supporting integration with popular agents like Claude Desktop and Cursor via MCP or Agent Skill, and includes Proof-of-Work + reputation to combat spam.

Slackbot's MCP Client enables working across 20+ apps in Slack with multiplayer collaboration, integrating the Model Context Protocol for enhanced AI-powered workflows.

This article from Google Developers discusses architectural patterns for combining Agent-to-User Interface (A2UI) and Model Context Protocol (MCP) Apps to build secure agentic workflows without iframe lag, balancing native rendering with custom iframe flexibility.

Cua Driver is now available on Linux, enabling background computer-use for any AI agent via CLI or MCP, with support for real Linux desktop apps.

Firecrawl launches Keyless mode, allowing free trials without an API Key. It supports real-time web scraping, interactions, and PDF parsing, with 1000 free Credits monthly. Suitable for Agent frameworks like Claude Code and Cursor.

Shared a case library containing 16 Codex hands-on examples, covering PPT generation, MCP, browser automation, knowledge base, and other functions, with screenshots and step-by-step guides.

Google released a free 50-page guide on AI Agent tools and interoperability, covering open protocols such as MCP, A2A, A2UI, AP2, and UCP.

Hugging Face and collaborators launch Agentic Resource Discovery (ARD), an open specification for dynamically discovering tools, skills, and agents at runtime, moving beyond static installation.

Nexus Memory is an MCP-native memory server that allows AI agents to share context via a unified protocol, enabling persistent and coordinated memory across different agents without custom integration.

The author built a Healthy Food MCP server and learned that agents perform better with many narrow, constrained tools rather than one flexible tool, emphasizing the need for a boring tool surface to reduce LLM hallucination.

A developer built Theodosia, a tool that uses a state machine as an MCP adapter to enforce legal transitions in agent workflows, preventing incorrect completions and providing a hash-chained ledger of steps.

Blender-MCP is an open-source tool that uses the MCP protocol to enable Claude AI to automatically generate Blender 3D scenes from natural language descriptions. Users don't need to learn the interface or keyboard shortcuts, greatly boosting modeling efficiency.

Reasonix (formerly named DeepSeek-Reasonix) is an AI coding agent CLI tool developed in Go, supporting features like skills, memory, Hooks, MCP, etc., and can replace OpenCode.

This article details how to build an automated information collection pipeline using Codex CLI, including AGENTS.md configuration, MCP integration, Skill usage, and three practical scenarios (customer research, policy tracking, US stock monitoring), helping users automate repetitive information gathering tasks.

A new open-source tool called codebase-memory-mcp indexes entire codebases like the Linux kernel in minutes using AST knowledge graphs, achieving massive efficiency gains for AI agents with 99% token reduction and 83% answer quality.

A tutorial on building a WhatsApp AI agent using Claude and Zernio's MCP server, allowing automated responses to inbound messages with human handoff when needed.