#MCP
516 related articles
Teaching AI Agents to Understand Earnings Calls: A Hands-On MCP Toolchain Walkthrough
A hands-on walkthrough of the Equibles MCP toolchain: how AI agents locate earnings calls, read tone and themes, search within documents, and cite with timestamps JPMorgan's Q3 2026 call response on AI-agent risk.
Integrating Netflix Earnings Data for AI Agents with an MCP Server
Learn how to integrate Netflix investor relations data—IR calendar, guidance history, call transcripts, and presentations—for AI agents via an MCP server to streamline earnings prep.
Giving AI Agents a Black Box: Decision Auditing Across 19,683 States
agent-audit-mcp encodes each AI Agent decision as a nine-dimensional ternary state (3⁹ = 19,683 enumerable states), using Hamming distance and red-line rules for OK/WATCH/ALERT/BLOCK auditing—fully local and deterministic.
MCP in Practice: Replacing Static Emergency Plans with Executable Protocols
Explore how MCP connectors transform static emergency plans into executable, auditable intelligent workflows, covering core tools like generate_access_protocol and the security governance of the MCPFusion architecture.
GitHub-Viral REA Hands-On: AI Reverse Engineers Any Software—Are Developer Moats Dead?
The open-source REA project gained nearly 8,000 GitHub stars in one day, letting AI agents reverse engineer native binaries, APKs, and closed-source software via MCP. We break down its tech, real-world tests, legal and security risks, and its true impact on software moats.
InboxWall: How a Local MCP Server Blocks Email Prompt Injection
InboxWall is an open-source local-first MCP server that sanitizes email HTML before the LLM reads it, stripping hidden CSS text, zero-width Unicode, and nested instructions to block prompt injection at the source. This article analyzes its sanitization pipeline, security boundary design, and deployment trade-offs.
REA: Reverse-Engineer Any App with a Single AI Agent Command
REA is an open-source MCP server that gives AI coding agents like Claude Code, Cursor, and Codex access to Ghidra, IDA, and other reverse-engineering tools. Supports binaries, APKs, Electron, and firmware—runs locally with one-command setup.
SAP CAP Embraces AI: A Practical Analysis of MCP and Agent Plugins
SAP CAP's AI-era plugin ecosystem: MCP adapter exposes business data with four characters, Agent plugin embeds agents in apps, CQL replaces CQN to boost LLM query accuracy, n8n plugin enables declarative workflow triggers.
Building and Deploying MCP Servers on Azure: A Python Hands-On and Security Guide
Based on KMC Technologies Group's developer guide, this article explains how to build and deploy MCP servers on Microsoft Azure: four-tool Python design, Container Apps vs. Functions deployment paths, Entra ID authentication, approval workflows, CI negative testing, and a 90-day rollout roadmap.
Can AI Agents Delete Postgres Data? Te…
Can AI Agents Delete Postgres Data? Testing MCP Read-Only Mode
Two real MCP servers tested with AI agents on PostgreSQL: read-only mode can be turned off by the session, missing permissions are the real defense; prompt injection can still leak data. Three safeguards inside.
GitHub Copilot in Practice: Agents, MCP, and Parallel Development with Worktrees
Microsoft MVP demo of GitHub Copilot Agent mode: set rules with instruction files, fill UI test gaps via Playwright and custom MCP services, enable parallel development with git worktree, and boost delivery with sub-agents, skills, and scheduled automation.
Connecting AI Coding Assistants to Real-Time Web Access with an MCP Server
Learn how to connect AI coding assistants like Claude Code and Cursor to real-time web scraping via an MCP server, covering XCrawl MCP tools, hosted and local configuration, and practical tips for controlling token usage.
AI Reverse Engineering Tool REA Tops GitHub: Deconstructing Apps Without Source Code
REA open-source tool tops GitHub, connecting AI coding agents to reverse engineering toolchains via MCP server for binaries, Electron, APK, and network capture analysis—all local, no data upload. Learn features, limits, and compliant use.
I Tested 12 MCP Servers for a Month — Only These 6 Made the Cut
After testing 12 MCP servers for a month, only 6 remain: Filesystem, Git, GitHub, Playwright, Context7, Fetch. Capabilities, context costs, install commands, and why Sequential Thinking and Memory got cut — plus four security rules.
NitroStack: The All-in-One MCP Server Development Platform That Topped Product Hunt
NitroStack is an all-in-one MCP server development platform offering open-source TypeScript/Python SDKs, visual Studio, Workflow orchestration, Cloud deployment, and a Chat frontend.
Building a Production-Grade AI Agent from Scratch: A Practical Guide to RAG and MCP
Based on the Edureka hands-on tutorial, this guide explains the complete build process for a production-grade AI Agent: four-layer architecture design, RAG retrieval-augmented generation, MCP protocol tool calling, ChromaDB vector database, model selection, and cost optimization, with local deployment verification steps.
Building Multi-Tenant MCP Servers with OAuth: Secure Integration for Claude and ChatGPT
Learn how to build an OAuth-enabled multi-tenant MCP server to securely connect SaaS products to Claude and ChatGPT, covering authentication, token security, and tenant isolation.
Is MCP Becoming the Universal Foundation for Intelligent Decentralized Search?
Is MCP becoming the universal foundation for intelligent decentralized search? This article breaks down the core disagreements in the Hacker News discussion, analyzes MCP's true position at the protocol layer, and the unsolved challenges of trust, incentives, and routing in decentralized search.
AI Agent Logs Blowing Up Your Context? Replace Markdown with a Rust Database
AppSec engineer builds PentaCore in Rust, an MCP server using encrypted SQLite instead of Markdown as AI agent state storage, solving context window blowup from logs.
Why MCP Retrieval Service Citations Get Lost: A Deep Dive into CSR Benchmarking
A CSR benchmark built on FastAPI docs reveals citation format drift vs. genuine loss in MCP retrieval; the OpenAI Agents SDK's default Responses API causes 40% of answers to ignore citation format, and server-side short IDs can fix it.