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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 Coding

Open-Weights Week: The Announced-Is-Not-Shipped Problem

The week of August 13-16, 2026 was the biggest open-weights news week of the year: Gemini 3.7 Flash and GLM-5.3 launched, Qwen3.8-27B surfaced with no repo, Muse Spark 1.2 weights stayed unpublished, and DeepSeek moved to peak/off-peak pricing. The takeaway is discipline: announced is not shipped.

Deepak Bagada Deepak Bagada
8m read
Deep Dive AI Tools

Build a Warehouse MCP Server for Agentic Inventory & Fulfillment

Agents belong on the warehouse floor in 2026. warehouse-mcp is a production FastMCP Python server giving AI agents six governed tools — item lookup, stock levels, order picking, restock triggers, supplier status, low-stock alerts — with inputSchema, mcpServers config, OAuth 2.0/API-key security, and retry rules for unreliable WMS backends.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Tools

Build a Cost-Aware Model Router MCP Server for Peak/Off-Peak

DeepSeek's Aug 16, 2026 peak/off-peak rate card made time-of-day a first-class LLM cost input. This guide builds cost-router-mcp, a FastMCP Python server that routes agent calls to the cheapest eligible model — with a routing engine, cost-table JSON, provider config, token-budget caps, fallback retries, and OAuth 2.0/API-key security.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Build a Power-Aware AI Workload Scheduler with LangGraph

AI compute now follows power, not the other way around. This LangGraph workflow watches live energy prices and grid carbon intensity, holds training for cheap windows, gates expensive runs behind human approval, and carries a power-shutdown safety rail for interruptible-tariff campuses.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Multi-Coding-Agent Orchestrator: Cost Routing & Unified Evals

Teams run Cursor, Claude Code, and terminal agents — but nobody decides which agent runs which ticket. This LangGraph orchestrator decomposes work, routes subtasks to the cheapest capable agent via a live cost table, reviews every diff, and refuses to merge until a unified SWE-bench-style eval gate and a human sign-off.

Deepak Bagada Deepak Bagada
11m read
Deep Dive AI Workflows

Coding-Agent Benchmarking with SWE-Bench Regression Gates

Agent quality is a moving target — a model update can shift pass rates overnight. This LangGraph workflow builds a golden task suite, runs agents in parallel Map-Reduce style, scores pass rates and cost per task, diffs against a pinned baseline, and ends in a hard go/no-go promotion gate.

Deepak Bagada Deepak Bagada
11m read
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