#MCP
506 related articles
OneSignal MCP Agent: Automating Push Notifications with the Model Context Protocol
OneSignal MCP Agent automates push notifications via Model Context Protocol, using typed JSON schemas and two-phase dry runs for safety, while redefining brand visibility beyond SERP rankings.
AI Agent Tool-Call Security Gateway: The Evolution and Blind Spots of Aegotrax v0.2.4
Aegotrax v0.2.4 adds server-side intent validation, SSRF/IMDS protection, MCP schema pinning, and a real blocking approval flow for LLM Agent tool calls.
Connecting Claude AI via MCP Protocol: A Configuration Guide for Automated Drawing in Revit and AutoCAD
Learn how to connect Claude AI to Revit and AutoCAD via the MCP protocol for conversational, automated drafting. Full guide covering environment setup, plugin deployment, and config files for smarter BIM workflows.
MCP Protocol Explained: How AI Connects to Any Tool or Data Source
MCP (Model Context Protocol) is the open standard that lets AI connect to GitHub, databases, and APIs. Learn how it works and why it matters for AI agents.
Hands-On Tutorial: Building an AI Agent on TongAgent Platform with MCP Server
Learn how to build an AI agent on TongAgent using MCP Server — covering LLM setup, AMAP MCP tools, template assembly, testing, and publishing. No heavy coding required.
REA in Action: Let AI Agents Reverse Engineer Any App
REA (Reverse Engineer Anything) is a free, open-source MCP server and CLI tool that lets AI agents like Claude Code reverse-engineer closed-source apps and explain how features work.
Atlassian MCP in Action: How an AI Agent Compresses Half a Day of Onboarding Into a Single Prompt
Atlassian's MCP server demo shows how an AI agent aggregates Confluence, Jira, Bitbucket, and Loom into a sourced onboarding brief from a single prompt.
Running and Inspecting an MCP Server: Hands-On Debugging for Agentic AI Development
Learn how to run and inspect a FastMCP dev server for Agentic AI: verify tool/resource/prompt exposure, test calculation logic, handle validation failures, and trace logs.
The Truth About Meta Muse: It Won't Run Your Ads Directly
Meta Muse is a consumer AI assistant, not an ad management tool. Learn which Meta AI systems actually run ads and how to connect Muse to your ad account via MCP.
MCP's Three Primitives Explained: How Tools, Resources, and Prompts Each Play a Role
What roles do Tools, Resources, and Prompts play in MCP? Using database queries, schemas, and analysis guides as examples, this article explains a clear three-way rule to help developers correctly assign component responsibilities in Agentic AI apps.
Connecting to a Web Fetch Server with MCP: Letting AI Scrape Webpages Without a Browser
Learn how to connect a Web Fetch server via MCP for browserless web scraping in Agentic AI. Covers stdio init, tool discovery, HTML-to-Markdown, and Pydantic validation.
Getting Started with Claude Code: Using MCP to Take AI Beyond the Codebase
A beginner's guide to MCP (Model Context Protocol) in Claude Code: how it lets AI reach beyond the codebase, interact with your tech stack, and how to build your own MCP server using the SDK.
FastMCP: The Open-Source Tool for Building MCP Servers Fast with Python
FastMCP is a fast-rising open-source Python tool for building MCP servers and clients locally. With 27K+ GitHub stars, it offers privacy-first, zero-cost AI tool integration.
Handing Your Network to an AI Agent: Deploying Remote MCP Servers on Cloud Run
Step-by-step guide to deploying an MCP server on Google Cloud Run and connecting it to CrewAI Agents to control Cisco Catalyst Center network devices with natural language.
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.