Model Context Protocol (MCP)

Supabase has open sourced supabase/evals, an Apache-2.0 benchmark and framework that runs coding agents including Claude Code, Codex and OpenCode against real Supabase tasks — building schemas, debugging Edge Functions, fixing RLS policies — inside containerized stacks, then scores them with deterministic checks and LLM-as-a-judge.

Nous Research has released Hermes Agent support for Buzz, Block's open source, self-hostable Nostr workspace where humans and AI agents share the same channels. Three integration paths cover Desktop runtime, relay bridge, and a native gateway platform that preserves Hermes memory, skills, approvals, and cron delivery.

Meta Superintelligence Labs released Muse Spark 1.1 on July 9, 2026, alongside a public preview of the Meta Model API. It is a multimodal reasoning model built for agentic tasks, with a 1,000,000-token context window the model actively compacts, zero-shot generalization to new tools and MCP servers, and multi-agent delegation across parallel subagents. Meta's own launch table shows it leading tool use while trailing Opus 4.8 and GPT-5.5 on coding.

We look at Gemini-SQL2, the text-to-SQL capability Google Research announced on June 12, 2026. Powered by Gemini 3.1 Pro, it posted 80.04% execution accuracy on the BIRD single-model leaderboard. We explain what the score measures, how the leaderboard stacks up, and what Google has not yet disclosed. We also cover use cases and a schema-grounded implementation pattern.

The Hermes Agent dashboard now builds complete agent profiles in one flow, replacing multi-step CLI setup for users.

Kimi Code CLI is Moonshot AI's open-source terminal coding agent, written in TypeScript with subagents and MCP configuration.

Nous Research's Hermes Agent adds Tool Search to fix MCP context bloat using BM25 progressive schema disclosure.

As MCP crosses 97 million monthly SDK downloads and AI agents move into production workflows, authentication has become the most critical infrastructure decision teams face. This guide ranks the eight leading platforms — WorkOS, Stytch, Auth0 by Okta, Composio, Nango, Arcade, TrueFoundry, and Cloudflare — on spec compliance, enterprise identity depth, integration breadth, and real-world fit for 2026 deployments.

Perplexity has open-sourced Bumblebee, an internal security tool it uses to protect the developer systems behind its search product, Comet, and Computer. Bumblebee is a read-only inventory collector for macOS and Linux developer endpoints. It scans npm, PyPI, Go modules, MCP configs, editor extensions, and browser extensions — without invoking any package manager or running any code.

In this tutorial, we build a fully functional MCP-style routed agent system from scratch, combining tool discovery, intelligent routing, structured planning, and execution into...

Abhigyan Patwari's GitNexus has quietly crossed 19,000 GitHub stars by solving a problem every AI-assisted developer has hit but rarely named — agents that edit code they don't actually understand.

In this tutorial, we build an advanced, hands-on tutorial around Google's newly released colab-mcp, an open-source MCP (Model Context Protocol) server that lets any...

In recent times, many developments in the agent ecosystem have focused on enabling AI agents to interact with external tools and access domain-specific knowledge...

Liquid AI has released LFM2-24B-A2B, a model optimized for local, low-latency tool dispatch, alongside LocalCowork, an open-source desktop agent application available in their Liquid4All...

Building AI agents is the new gold rush. But every developer knows the biggest bottleneck: getting the AI to actually communicate to your data....

Google is officially turning Chrome into a playground for AI agents. For years, AI 'browsers' have relied on a messy process: taking screenshots of...

In this tutorial, we build a clean, advanced demonstration of modern MCP design by focusing on three core ideas: stateless communication, strict SDK-level validation,...

In this part of the Interview Series, we’ll look at some of the common security vulnerabilities in the Model Context Protocol (MCP) — a...

Agents that use the Model Context Protocol MCP have a scaling problem. Every tool definition and every intermediate result is pushed through the context...

In this tutorial, we explore the Advanced Model Context Protocol (MCP) and demonstrate how to use it to address one of the most unique...

Kong has open-sourced Volcano, a TypeScript SDK that composes multi-step agent workflows across multiple LLM providers with native Model Context Protocol (MCP) tool use....

Google has open-sourced a Model Context Protocol (MCP) server that exposes read-only access to the Google Ads API for agentic and LLM applications. The...

Table of contentsComparison TableStrengths and LimitsSecurity and GovernanceEcosystem Signals (Portability/Adoption)Decision Rules (When to Use Which)References: MCP (Model Context Protocol): Open, transport-agnostic protocol that standardizes discovery...

AWS released an open-source Model Context Protocol (MCP) server for Amazon Bedrock AgentCore, providing a direct path from natural-language prompts in agentic IDEs to...

Table of contentsOverviewWhat MCP standardizes?Normative authorization controlsWhere MCP supports security engineering in practice ?Case study: the first malicious MCP serverUsing MCP to structure red-team...

Delinea released an Model Context Protocol (MCP) server that let AI-agent access to credentials stored in Delinea Secret Server and the Delinea Platform. The...

Google released a Model Context Protocol (MCP) server for Data Commons, exposing the project’s interconnected public datasets—census, health, climate, economics—through a standards-based interface that...

Google has released a public preview of “Chrome DevTools MCP,” a Model Context Protocol (MCP) server that lets AI coding agents control and inspect...

Microsoft has released a public preview that enables Azure Logic Apps (Standard) to run as Model Context Protocol (MCP) servers, exposing Logic Apps workflows...

Model Context Protocol (MCP) has become the “USB-C” for agent/tool integrations, giving frontend teams a standard way to wire design specs, repos/PRs, deploy targets,...

Coral Protocol has released Coral v1 of its agent stack, aiming to standardize how developers discover, compose, and operate AI agents across heterogeneous frameworks....

OpenAI has just introduced a major upgrade to ChatGPT’s developer mode by adding full support for Model Context Protocol (MCP) tools. Until now, MCP...

In this tutorial, we are walking through the process of building an advanced MCP (Model Context Protocol) Agent that runs smoothly inside Jupyter or...

Table of contentsThe Registry as DNS for AI ContextWhy the Federated Model Works ?Architecture, Moderation, and Open Source FoundationSummaryFAQs The Model Context Protocol (MCP) team...

Modern software development is shifting from static workflows to dynamic, agent-driven coding experiences. At the center of this transition is the Model Context Protocol...

OAuth 2.1 is the officially mandated authorization standard in the Model Context Protocol (MCP) specifications. According to the official documentation, authorization servers must implement...

Modern large language models (LLMs) have moved far beyond simple text generation. Many of the most promising real-world applications now require these models to...

Welcome to a new era of AI interoperability, where the Model Context Protocol (MCP) stands ready to do for agents and AI assistants what...

Model Context Protocol (MCP) has rapidly emerged as a universal standard for connecting AI models to diverse applications, systems, and tools—imagine “USB-C for AI...

Vizro is an open-source Python toolkit by McKinsey that makes it easy to build beautiful, production-ready data visualization apps. With just a few lines...

The explosive growth of artificial intelligence, particularly large language models (LLMs), has revolutionized how businesses operate, from automating customer service to enhancing data analysis....

In this tutorial, we walk through building an advanced AI agent using the mcp-agent and Gemini. We start by setting up a robust environment...

As Model Context Protocol evolves into the “USB-C port for AI applications,” connecting AI agents to the world’s tools and data, these authoritative blogs...

Table of contentsIntroductionWhat Is MCP- RL?ART: The Agent Reinforcement TrainerCode Walkthrough: Specializing LLMs with MCP- RLExplanation:Under the Hood: How MCP- RL GeneralizesReal-World Impact and...

The Model Context Protocol (MCP) has rapidly become a foundational standard for connecting large language models (LLMs) and other AI applications with the systems...

The Model Context Protocol (MCP) is changing how intelligent agents interact with backend services, applications, and data. A successful MCP implementation project hinges on much more...

Model Context Protocol (MCP) servers have fast become a backbone for scalable, secure, and agentic application integrations, especially as organizations seek to expose their...

Table of contents1. MCP Overview & Ecosystem2. AWS: MCP at Cloud Scale3. Microsoft Azure: MCP in Copilot & AI Foundry4. Google Cloud: MCP Toolbox...

Google has released the MCP Toolbox for Databases, a new open-source module under its GenAI Toolbox aimed at simplifying the integration of SQL databases...

The development and deployment of advanced AI systems increasingly depend on flexible, robust orchestration layers that bridge diverse models, tools, and resources. IBM’s MCP...

What is Model Context Protocol (MCP)? The Model Context Protocol (MCP), introduced by Anthropic in November 2024, establishes a standardized, secure interface for AI models...

The Desktop Commander MCP Server is a powerful tool that brings all your development operations into one chat interface. Built on top of the...

The Model Context Protocol (MCP) has rapidly become a cornerstone for integrating AI models with the broader software ecosystem. Developed by Anthropic, MCP standardizes...

The Model Context Protocol (MCP) represents a powerful paradigm shift in how large language models interact with tools, services, and external data sources. Designed...

Hugging Face has released a free/open-source course on the Model Context Protocol (MCP), an open approach developed by Anthropic to facilitate the integration of...

In this tutorial, we will learn how to deploy a fully functional Model Context Protocol (MCP) server using smithery as the configuration framework and...

MCP-Use is an open-source library that lets you connect any LLM to any MCP server, giving your agents tool access like web browsing, file...

AgentQL allows you to scrape any website with unstructured data by defining the exact shape of the information you want. It gives you consistent,...

The Model Communication Protocol (MCP) is an emerging open standard that allows AI agents to interact with external services through a uniform interface. Instead...

Before MCP, LLMs relied on ad-hoc, model-specific integrations to access external tools. Approaches like ReAct interleave chain-of-thought reasoning with explicit function calls, while Toolformer...

In this hands-on tutorial, we’ll learn how to seamlessly connect Claude Desktop to real-time web search and content-extraction capabilities using Tavily AI’s Model Context...

In this tutorial, we'll build an MCP server that integrates Airbnb and Excel, and connect it with Cursor IDE. Using natural language, you'll be...

In this tutorial, we’ll learn how to harness the power of the Model Context Protocol (MCP) alongside Zapier AI to build a responsive email...

In this tutorial, we’ll learn how to harness the power of the exa-mcp-server alongside Claude Desktop to access any LinkedIn page programmatically. The exa-mcp-server...

In this tutorial, we will be implementing a custom Model Context Protocol (MCP) Client using Gemini. By the end of this tutorial, you will...

Managing context effectively is a critical challenge when working with large language models, especially in environments like Google Colab, where resource constraints and long...

A Knowledge Graph Memory Server allows Claude Desktop to remember and organize information about a user across multiple chats. It can store things like...

Reliable evaluation of large language model (LLM) outputs is a critical yet often complex aspect of AI system development. Integrating consistent and objective evaluation...

Serverless computing has significantly streamlined how developers build and deploy applications on cloud platforms like AWS. However, debugging and managing complex architectures—comprising services such...

In this Colab‑ready tutorial, we demonstrate how to integrate Google’s Gemini 2.0 generative AI with an in‑process Model Context Protocol (MCP) server, using FastMCP....

FastAPI-MCP is a zero-configuration tool that seamlessly exposes FastAPI endpoints as Model Context Protocol (MCP) tools. It allows you to mount an MCP server...

The integration of Large Language Models (LLMs) with external tools, applications, and data sources is increasingly vital. Two significant methods for achieving seamless interaction...

AI systems are becoming increasingly dependent on real-time interactions with external data sources and operational tools. These systems are now expected to perform dynamic...

Model Context Protocol makes it incredibly easy to integrate powerful tools directly into modern IDEs like Cursor, dramatically boosting productivity. With just a few...

In this hands-on tutorial, we’ll build an MCP (Model Context Protocol) server that allows Claude Desktop to fetch stock news sentiment and daily top...