Model Context Protocol (MCP) Server Directory

Ship trustworthy agents by measuring what matters: a CLEAR-based evaluation harness that runs your agent dozens of times, computes pass@k consistency, and gates deploys on reliability scores.

Architect a self-updating market intelligence pipeline where Firecrawl MCP scrapes the web, LangGraph orchestrates analyst agents, and Qdrant vector memory prevents redundant re-research across weekly sweeps.

Learn how to build a production-grade Model Context Protocol (MCP) server for Shopify Admin using FastMCP, enabling Claude and Cursor to autonomously manage inventory, process orders, and generate real-time e-commerce analytics.

Build a hyper-efficient, edge-native AI architecture where TinyML models detect local anomalies, triggering cloud-based LangGraph agents via MQTT to dynamically reconfigure IoT fleets and deploy self-healing patches.

Deploy a real-time, event-driven multi-agent system that ingests global supply chain data via Apache Flink, predicts disruptions using LLMs, and autonomously negotiates alternate sourcing with suppliers via CrewAI.

Architect a robust, self-healing automated QA testing pipeline using multi-agent architectures to intelligently navigate DOM changes, dynamically generate assertions, and validate complex UI flows with zero human intervention.

The MCP Tasks extension (SEP-2663) finally lets tools return a taskId while a job runs in the background. Build a server that queues, polls, and reports long-running jobs to Claude Desktop and Cursor - durable and stateless-friendly.

Microsoft shipped the Azure DevOps Remote MCP server in general availability on Aug 5, 2026. Here is how to build and secure a production-grade Azure DevOps MCP server with Entra OAuth 2.0.

AutoGen is headed into maintenance mode. Migrate to the Microsoft Agent Framework or LangGraph: comparison tables, a step-by-step migration path, code examples, and the ROI of moving.

Agents can finally render UI: buttons, forms, cards, charts. Here is the developer's comparison of MCP Apps vs OpenAI Agent Plugins - syntax, permission models, and the dual-emit decision framework.

MCP is for verbs (it does something), Skills are for nouns (things the model knows). This is the decision framework: a comparison table, a concrete decision flow, code for both, and the build-vs-run ROI math.

OpenAI crushed GPT-5.6 Luna input pricing to $0.20 per 1M tokens on July 30 - a 4x cut. Here is the unit-cost model, cost-per-agent-run formulas, and the ROI math your fleet should adopt this quarter.