#MCP
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MCP and CLI in Tandem: Best Practices for AI Data Analysis Workflows
Explore how MCP and CLI divide responsibilities in AI data analysis: use MCP to inspect schemas and validate SQL in conversation, then use CLI to solidify queries into repeatable scripts, with cross-entry task handoff and result retrieval.
The Battle for AI Agent Control: Who Owns Identity, Rules, and Budget?
Google, Workday, and OpenAI drew AI Agent boundaries within a week. We analyze the fight over Agent identity, permissions, and budget, with MCP, CERT-In advisories, and the European supermarket attack, plus an enterprise checklist and lab test methods.
What's Your MCP Server Stack? A 2026 Practitioner Discussion
A 2026 practitioner discussion on MCP server stacks: stdio vs HTTP transport, agent tool visibility control, tool call budgets and rate-limiting patterns, and which MCP servers are truly useful rather than demos.
Zero-Cost Guide to Deploying MCP Servers on Cloudflare Workers
Step-by-step guide to deploying a Remote MCP server on Cloudflare Workers at zero cost: Streamable HTTP transport, Durable Objects session management, Zod validation, Bearer auth, MCP Inspector debugging, plus free-tier and KV quota pitfalls.
Custom MCP Servers: Giving LLMs Secure Access to Private Data and Tools
A deep dive into Anthropic's Model Context Protocol (MCP): client-server architecture, the three primitives, building custom MCP servers in TypeScript, local vs. remote deployment, and production security best practices.
jev-tools: Letting AI Coding Agents Verify Their Work with Repository Evidence
jev-tools is NomenAK's open-source toolkit for AI coding agents. Six tools like jev_ask and jev_check_diff let agents verify conclusions with repository evidence, with MCP and doc consistency checks.
After Ditching the Pricing Calculator, We Built a Memory Engine for AI Coding Assistants Using a Graph Database
How a failed pricing calculator became Banana: a FalkorDB graph database giving Claude Code and Cursor code-relationship memory, Edmonds-Karp max-flow token budgeting, and 17.4ms three-hop traversal.
The Complete Guide to Vibe Coding: Benefits, Pitfalls, and Security Practices
What is vibe coding? This article explains its mechanics, use cases, six typical failure modes, eight security practices, and MCP tool recommendations to help you enjoy speed without fragile code.
Building a Company Brain with a Graph Database: HandsOnRepo's Practice with FalkorDB
HandsOnRepo turned a GitHub org into a queryable company brain graph with FalkorDB—21k nodes answering who should review, why a rollback happened, and who is a risk to lose.
Guardrails Fail: MCP File Leaks, Copilot RCE, and Multilingual Agent Guard Blind Spots
This week's AI security research reveals systematic guardrail failures: 16.4% of MCP servers exhibit filesystem capability laundering, Visual Studio Copilot has an indirect prompt injection to RCE CVE, small guard models drift under multilingual input, and the INFUSE benchmark quantifies indirect injection risk.
How Do AI Agents Orchestrate Multiple Tools? MCP and Dynamic Discovery Explained
Former AWS architect Raj explains how AI agents orchestrate multiple tools: MCP protocol dynamic discovery, ReAct loop decision-making, and vector retrieval to optimize context bloat.
12,000 Repos Reveal: No Middle Class in the MCP Ecosystem—Winner Takes All
Full analysis of 12,534 MCP server and Agent Skill repos: the top 1% take 47.5% of Stars, median is just 64, 62.8% of servers have under 100 Stars, and 70% of install paths are broken.
ChatGPT MCP Events: Trigger Tasks from Gmail, Slack, and GitHub
Explaining ChatGPT MCP Events: how to trigger Work tasks from Gmail, Slack, GitHub, and custom MCP server events, key points for signed Webhook configuration, and how the 30-runs-per-hour quota affects workflow design.
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.