#MCP
516 related articles
Turning APIs into MCP Servers with Cognipeer Console: A Practical Guide to Tool Exposure for AI Agents
Convert OpenAPI specs into MCP servers with Cognipeer Console, making your APIs discoverable and callable by AI Agents. Full walkthrough: server creation, tool inspection, Hub publishing, and monitoring.
Agentic AI and MCP Explained: From Generative AI to Autonomous Agents
A college workshop breaks down Agentic AI, Generative AI, and MCP (Model Context Protocol), with a live n8n RAG chatbot demo and tool picks like Cursor AI and Claude Code.
Fuse AI: Rebuilding the GTM Tech Stack with One SDK and One MCP
Fuse AI proposes unifying the entire GTM stack with one SDK and one MCP interface, covering web automation, data enrichment, multi-channel outreach, and AI agents — benchmarking against OpenRouter, Apollo, Clay, and Zapier.
Build Your First AI Agent from Scratch: Using MCP to Break the LLM Knowledge Cutoff
A hands-on guide to building your first AI Agent using MCP and FastMCP, with a live stock price example covering JSON-RPC, stdio vs HTTP transport, tools, resources, and security guardrails.
codebase-memory-mcp: Giving AI Agents a Memory for Large Codebases
codebase-memory-mcp is an open-source MCP server that decouples memory logic from AI agents, helping them navigate large codebases without losing context or writing hundreds of lines of brittle glue code.
MCP and Multi-Agent Systems: The USB-C Standard for AI's Connection to the World
A deep dive into MCP and multi-agent systems: how MCP becomes AI's USB-C standard, the TRP primitives, Orchestrator-Worker architecture, and real-world costs including 15x token spend and security risks.
Pydantic AI + MCP in Practice: Building Type-Safe Agents
Step-by-step guide to connecting Pydantic AI to MCP (Model Context Protocol): tool discovery, invocation, output validation, error handling, and remote connection security.
Use MCP to Let AI Build n8n Automation Workflows Directly (For Free)
Use MCP to connect AI directly to n8n and build automation workflows with natural language. Generate triggers, Google Sheets nodes, email steps, and more — free with n8n's self-hosted community edition.
Umbral OS Adds MCP Support: Giving AI Agents Their Own Dedicated Computer
Umbral OS adds MCP server support, letting AI agents like Claude Code and Codex connect to home devices, run a full OS, and operate with precise permission controls.
Why MCP Tool Descriptions Determine Whether AI Agents Pick the Right Tool
In MCP, LLMs rely solely on tool names and descriptions to decide which tool to call. Research shows most descriptions are poor quality, causing agents to pick wrong tools or stall entirely.
Building Your Own WhatsApp AI Agent with the API: A Practical MCP Guide
Learn how to build a custom WhatsApp AI agent using the Wassenger API and MCP server — covering message sending, webhooks, decision logic, and Anthropic/OpenAI integration.
Open-Source MCP Management Platform: Putting a Safety Leash on Autonomous AI Agents
A self-hosted open-source platform manages AI agents via MCP with task tracking, human approval for sensitive ops, and local deployment for data privacy — at zero cost.
MCP Parallel Web Search Agent: From SERP Rankings to AI Brand Mentions
When users ask AI directly, Google #1 isn't enough. Learn how an MCP-based parallel search Agent, typed JSON schemas, and a two-phase dry run turn brand mention rate into a measurable metric.
Laravel MCP 1.0 Stable Release: Turn Your App Into an AI Toolbox
Laravel MCP 1.0 is stable. One composer command turns any Laravel app into an AI toolbox for Claude, ChatGPT, and other agents — with searchable tool catalogs, fine-grained permissions, and stricter OAuth.
MCP Protocol Explained: From Core Concepts to Building a Weather Service
A complete guide to MCP (Model Context Protocol): core concepts, three-layer architecture, two transport mechanisms, and a hands-on Python weather service tutorial with Claude Desktop.
Fabric IQ MCP Server: Query Power BI Semantic Models with Natural Language
How Fabric IQ MCP Server lets AI agents like Copilot access Power BI reports and semantic models via read-only delegated auth, with RLS/OLS enforcement and DAX query support.
MCP Server Security: The Overlooked Risks in AI Agent Connectivity
MCP servers are becoming the universal bridge for AI agents connecting to enterprise systems, but security is rarely discussed. Learn why MCP security matters and how to get started.
MCP Events Are Here: Let the World Trigger Your AI Agents
OpenAI backs MCP events spec, enabling servers to proactively trigger AI agent workflows. A deep dive into the shift from user-initiated to event-driven agents.
MCP Protocol Explained: How AI Tools Are Finally Getting a Universal Standard
MCP (Model Context Protocol) is the USB-C of AI tools — a unified standard interface that replaces the chaos of custom integrations. Learn how it works and why it matters.
MCP Tool Poisoning: The Overlooked Attack Surface in Agentic AI and How to Defend Against It
MCP tool poisoning is an emerging attack surface for agentic AI. This article dissects how tool descriptions can be weaponized, analyzes the information gap and data exfiltration chain, and presents layered defenses including whitelist registries, hash pinning, least privilege, and chain-level policies.