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DIRECTORY HUB

Model Context Protocol (MCP) Server Directory

Curated directory of production-ready Model Context Protocol (MCP) servers, custom tools, and database connectors built for Cursor, Claude Desktop, and autonomous AI agents.

Deep Dive AI Tools

Build a Google Workspace MCP Server: Expose Gmail, Drive, Calendar & Docs to AI Agents

Google opened the Workspace MCP server to public developer preview in May 2026, giving agents governed access to Gmail, Drive, Calendar, and Docs through remote MCP endpoints. This guide builds a production FastMCP Python server with nine curated tools, JSON Schema definitions, Claude Desktop and Cursor wiring, and a full OAuth 2.0 plus admin-scoping security model.

Deepak Bagada Deepak Bagada
15m read
Deep Dive AI Tools

Build an x402 Agentic Payments MCP Server: Let AI Agents Pay Per API Call

x402 (x402.org) lets agents pay per API call through HTTP 402 challenges and payTo, with a defined MCP transport for pay-per-use tools. This guide builds a Python FastMCP wallet server with service discovery, 402 resolution, and signed paid-call tools, plus agent-tools-mcp discovery, spending caps, per-agent wallets, and Claude/Cursor wiring.

Deepak Bagada Deepak Bagada
14m read
Deep Dive AI Tools

Build a Kong MCP Registry Server for Enterprise Tool Governance & Shadow AI Control

Kong launched MCP Registry in Konnect in February 2026 to register, discover, and govern MCP servers and tools so agents only reach approved resources. This guide builds a portable TypeScript FastMCP registry with register, search, approve, allowlist, and audit tools, plus RBAC, approval gates, version pinning, OAuth 2.0/mTLS, and Claude Desktop plus Cursor wiring.

Deepak Bagada Deepak Bagada
16m read
Deep Dive AI News

UAE Launches Two-Year Plan to Move 50% of Federal Operations onto Agentic AI

On August 10, 2026, the UAE federal government launched the strategic track of its national agentic AI project, committing to convert 50% of federal operations, services, and tasks into agentic AI-driven models within two years. The kickoff workshop in Dubai brought together more than 100 federal officials to define delivery across ministries, with orchestration, security, and workforce change named as the hardest problems.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI News

Meta Ships Muse Code: A Terminal Coding Agent That Plans Across Large Repos

On August 6, 2026, Meta launched Muse Code, a beta terminal-based AI coding agent that plans changes, writes code, and validates results across large repositories, powered by its Muse Spark coding model and installable with a single command. For big projects it spins up its own helper agents in parallel, positioning it squarely against Claude Code and Cursor-style agents.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI News

Alibaba's Qwen3.8-Max Hits General Availability at $2/$6 per Million Tokens

On August 3, 2026, Alibaba's Qwen team moved its Qwen3.8-Max flagship from preview to general availability, pricing production API access at $2 per million input tokens and $6 per million output tokens. Open weights are promised but were not yet published at GA, while BenchLM's August 2026 verified-frontier table ranks the model #6 — making it the cheapest top-10 frontier model on the board.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Workflows

Build a Large-Repo Coding Agent Swarm with Meta Muse Code & Parallel Helper Agents

Meta's Aug 6 2026 Muse Code beta turns a terminal coding agent into a small team: a Muse Spark orchestrator plans changes and fans out disposable helper agents that implement, test, and validate in parallel across a large monorepo. This article builds that swarm end to end — contract-first schemas, an MCP repo-intelligence layer, a parallel dispatcher, conflict convergence, checkpointed retries, and a validator gate that outranks human review.

Deepak Bagada Deepak Bagada
13m read
Deep Dive AI Workflows

Progressive Rollout Runbooks for Agent-Driven Releases: Prod 10 → 50 → 100 with Claude Code

Octopus's Aug 7 2026 tutorial answers the agent-release question that matters most: how much damage can a misbehaving agent do before you catch it? This productionized implementation covers the runbook set (Prod 10 → 50 → 100 on LIFO rings), a Claude Code agent that categorizes commits as feature/security/refactor/release-blocker, per-category validation gates reading production telemetry, staged-promotion rules, and first-class rollback runbooks with a documented retry ladder.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Sovereign Multi-Agent Orchestration for 50% Federal Operations: A UAE-Style Government Agentic AI Platform

The UAE's Aug 10 2026 kickoff — 100+ federal officials in Dubai, a two-year clock, and a 50% conversion of government operations to agentic AI — is won or lost on architecture discipline. This workflow designs the sovereign platform behind it: a three-band execution model (autonomous / supervised / gated), ABAC policy-as-code before any inference, dual-control HITL for irreversible acts, sovereign identity and data-residency boundaries, an immutable chained audit ledger, and a four-wave change-management rollout with per-service reversibility.

Deepak Bagada Deepak Bagada
12m read
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