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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 Workflows

Build a Robotaxi Fleet Operations & Safety Monitoring Workflow with LangGraph

Uber and Pony.ai are preparing to put more than 2,000 robotaxis on European roads, per August 14, 2026 reporting. Operating a fleet that size is a multi-agent problem: dispatch, telemetry, safety monitoring, and incident response all need to coordinate in real time. This workflow builds a LangGraph fleet operations layer with hard safety gates between autonomous action and human escalation.

Deepak Bagada Deepak Bagada
14m read
Deep Dive AI Workflows

Build an Autonomous Vulnerability Detection & Remediation Workflow with CyberGym-Style Evals

Z.ai unveiled GLM-5.3 on August 14, 2026 — an open-weights model scoring 84.5% on the CyberGym vulnerability-detection benchmark, above the 83.8% it cited for Anthropic's Mythos 5. Open-weight security capability at this level changes the build equation for defensive teams. This workflow builds a LangGraph pipeline, vuln-guard, that ingests scan results, detects and classifies vulnerabilities, triages by exploitability, generates patches, and runs them through an automated verification gate before a human approves deployment.

Deepak Bagada Deepak Bagada
15m read
Deep Dive AI Tools

Build an EU AI Act Compliance MCP Server for High-Risk Agentic Systems

On August 2, 2026 the EU AI Act's remaining obligations started applying — including the transparency rules and the high-risk regime that classifies much of multi-agent orchestration in high-impact sectors. This guide builds a FastMCP Python server, eu-ai-act-mcp, that helps builders audit their agentic systems against the obligations: risk classification, transparency disclosures, documentation generation, and conformity-assessment evidence tracking.

Deepak Bagada Deepak Bagada
15m read
Deep Dive AI Tools

Build an Autodesk Fusion MCP Server for Agentic CAD & AEC Workflows

Autodesk has been shipping MCP servers across its platform — Fusion MCP servers that run locally and let agents model and execute Fusion commands, plus a read-only Product Help MCP server and Autodesk Platform Services MCP connectors. This guide builds a production FastMCP Python gateway, fusion-mcp, that wraps Fusion design automation and Platform Services into typed agent tools — model query, parameter editing, geometry export, and design-task execution — with OAuth 2.0, session isolation, and a design-change approval gate.

Deepak Bagada Deepak Bagada
15m read
Deep Dive LLMs

Google Cloud's 2026 AI Agent Trends: The 5 Trends Reshaping Production Agents

Google Cloud's 2026 AI Agent Trends Report forecasts 2026 as the year AI agents fundamentally reshape business, and the five trends come with real customer data: Telus saving 40 minutes per AI interaction, Suzano cutting query time 95%, Danfoss automating 80% of transactional decisions, Macquarie Bank cutting false positives 40%. The trends, analyzed with the evidence.

Deepak Bagada Deepak Bagada
9m read
Deep Dive LLMs

ServiceNow AI Control Tower: Governing Every AI Agent in the Enterprise

ServiceNow expanded its AI Control Tower — with general availability expected in August 2026 — to discover, observe, govern, secure, and measure AI deployed across any system in the enterprise. It is the clearest productized statement yet of the agent-governance thesis: the enterprise control plane for AI agents is becoming a product category.

Deepak Bagada Deepak Bagada
9m read
Deep Dive AI Workflows

Build an Autonomous Cloud Operations Agent Workflow with Nutanix Prism & MCP

Nutanix released an open-source MCP server on August 10, 2026 that lets AI assistants — including GitHub Copilot — interact with Nutanix Cloud Platform through Prism V4 APIs. This workflow builds the agent layer on top: a LangGraph autonomous operations agent that monitors cluster health, diagnoses anomalies against Prism telemetry, executes safe remediation actions, and escalates risky changes to humans.

Deepak Bagada Deepak Bagada
14m read
Deep Dive LLMs

Big Tech AI Commitments Near $1.5 Trillion: The Capital Supercycle

Big Tech's AI purchase commitments are approaching $1.5 trillion, per August 14, 2026 reporting, as the AI boom enters a more consequential phase — a global contest for chips, data centers, energy, autonomous systems, cybersecurity, and the capital to fund it all. This is the capital supercycle underneath the agent economy.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Workflows

Build a Price-Aware Model Routing Workflow for the 2026 Inference Price War

On August 14, 2026, the AI economics story inverted overnight: OpenAI and Anthropic cut prices on flagship models while DeepSeek raised V4 Pro API pricing by as much as 1,100%. Static routing tables went stale the same day. This workflow builds a LangGraph router that consumes live model price feeds, re-prices every task against the current cost surface, and routes each subtask to the cheapest capable model with quality gates intact.

Deepak Bagada Deepak Bagada
14m read
Deep Dive AI Workflows

Build an MCP Server Observability & Governance Workflow with LangGraph

SnapLogic's August 13, 2026 release elevated MCP from a feature into infrastructure: a dedicated MCP Metrics page now tracks traffic, error rates, tool calls, and P99 latency across every deployed server, and a token-exchange rule implements RFC 8693 so inbound agent tokens swap for narrowly scoped downstream credentials. This workflow builds the same operational layer with LangGraph — an observability pipeline that ingests MCP server telemetry, detects degradation before users do, and enforces scoped-credential exchange on every agent tool call.

Deepak Bagada Deepak Bagada
15m read
Deep Dive Coding

Uber & Pony.ai: 2,000+ Robotaxis Head to European Roads — The Ops Test

Uber and Pony.ai are preparing to put more than 2,000 robotaxis on European roads, per August 14, 2026 reporting. It is the largest commercial-scale autonomous fleet move yet in Europe — and it turns the conversation from whether robotaxis work to how a fleet that size gets operated safely, reliably, and within regulation.

Deepak Bagada Deepak Bagada
9m read
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