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News, resources, and updates about MCP Explorer

MCP Introduction

MCP is an open protocol that standardizes how applications provide context to LLMs. Think of MCP like a USB-C port for AI applications. Just as USB-C provides a standardized way to connect your devices to various peripherals and accessories, MCP provides a standardized way to connect AI models to different data sources and tools.

For Server Developers

Get started building your own server to use in Claude for Desktop and other clients. In this tutorial, we’ll build a simple MCP weather server and connect it to a host, Claude for Desktop. We’ll start with a basic setup, and then progress to more complex use cases.

For Client Developers

Get started building your own client that can integrate with all MCP servers. In this tutorial, you’ll learn how to build a LLM-powered chatbot client that connects to MCP servers. It helps to have gone through the Server quickstart that guides you through the basic of building your first server.

For Claude Desktop Users

Get started using pre-built servers in Claude for Desktop. In this tutorial, you will extend Claude for Desktop so that it can read from your computer’s file system, write new files, move files, and even search files.

Example Servers

A list of example servers and implementations This page showcases various Model Context Protocol (MCP) servers that demonstrate the protocol’s capabilities and versatility. These servers enable Large Language Models (LLMs) to securely access tools and data sources.

Example Clients

A list of applications that support MCP integrations This page provides an overview of applications that support the Model Context Protocol (MCP). Each client may support different MCP features, allowing for varying levels of integration with MCP servers.

FAQs

Explaining MCP and why it matters in simple terms What is MCP? MCP (Model Context Protocol) is a standard way for AI applications and agents to connect to and work with your data sources (e.g. local files, databases, or content repositories) and tools (e.g. GitHub, Google Maps, or Puppeteer).

Building MCP with LLMs

Speed up your MCP development using LLMs such as Claude! This guide will help you use LLMs to help you build custom Model Context Protocol (MCP) servers and clients. We’ll be focusing on Claude for this tutorial, but you can do this with any frontier LLM.

Debugging

A comprehensive guide to debugging Model Context Protocol (MCP) integrations Effective debugging is essential when developing MCP servers or integrating them with applications. This guide covers the debugging tools and approaches available in the MCP ecosystem.

Inspector

In-depth guide to using the MCP Inspector for testing and debugging Model Context Protocol servers The MCP Inspector is an interactive developer tool for testing and debugging MCP servers. While the Debugging Guide covers the Inspector as part of the overall debugging toolkit, this document provides a detailed exploration of the Inspector’s features and capabilities.

Core architecture

Understand how MCP connects clients, servers, and LLMs The Model Context Protocol (MCP) is built on a flexible, extensible architecture that enables seamless communication between LLM applications and integrations. This document covers the core architectural components and concepts.

Resources

Expose data and content from your servers to LLMs Resources are a core primitive in the Model Context Protocol (MCP) that allow servers to expose data and content that can be read by clients and used as context for LLM interactions.

Prompts

Create reusable prompt templates and workflows Prompts enable servers to define reusable prompt templates and workflows that clients can easily surface to users and LLMs. They provide a powerful way to standardize and share common LLM interactions.

Tools

Enable LLMs to perform actions through your server Tools are a powerful primitive in the Model Context Protocol (MCP) that enable servers to expose executable functionality to clients. Through tools, LLMs can interact with external systems, perform computations, and take actions in the real world.

Sampling

Let your servers request completions from LLMs Sampling is a powerful MCP feature that allows servers to request LLM completions through the client, enabling sophisticated agentic behaviors while maintaining security and privacy.

Roots

Understanding roots in MCP Roots are a concept in MCP that define the boundaries where servers can operate. They provide a way for clients to inform servers about relevant resources and their locations.

Transports

Learn about MCP’s communication mechanisms Transports in the Model Context Protocol (MCP) provide the foundation for communication between clients and servers. A transport handles the underlying mechanics of how messages are sent and received.

What's New

The latest updates and improvements to MCP 2025-04-10 Java SDK 0.9.0 released Version 0.9.0 of the MCP Java SDK has been released. Refactored logging system to use exchange mechanism Custom Context Paths Server Instructions CallToolResult Enhancement