URGENT: Revolutionize with AI Agent MCP!

● Why You Need To Learn About MCP Right Now (Urgent!)

mCP Server Construction and AI Ecosystem Innovation Trends

A detailed explanation of mCP, a hot topic in AI and server development recently. mCP, or Model Context Protocol, is a standard interface developed by Anthropic that connects AI apps with external systems and data sources. This article chronologically covers the concept of mCP, implementation methods, and specific examples of integration with AI apps (CLA, csor). As a result, it naturally includes top SEO keywords such as economy, technology, data, server development, and AI, helping readers grasp the core content immediately.

1. What is mCP?

mCP stands for Model Context Protocol.

Developed by Anthropic, it provides a standardized interface for AI applications to connect with external systems and data.

Previously, each developer implemented it individually, but the introduction of mCP is expected to greatly improve compatibility and productivity.

2. Structure and Basic Operation of mCP Server

The basic configuration is divided into two parts.

The first is the server side: It exposes various elements such as data, tools (functions), and prompts.

The second is the client side: AI applications (CLA, csor, etc.) connect to the server and utilize the provided resources.

Tools operate like execution requests (POST), while resources receive data like GET requests.

Prompts provide templates to allow users to make clear requests to the AI.

3. mCP Server Construction Process (Chronological Order)

① Installing the Python SDK and Creating a Basic Server

– Install the Python SDK for mCP, import the fast_mCP class, create a server instance, and run it.

② Adding Resources to the Server

– For example, write a dummy function that informs whether the stock market is open and decorate it with the mCP resource decorator.

③ Implementing Tools

– Create functions that perform stock buying and selling functions and decorate them with the mCP tool decorator to enable interaction with AI applications.

④ Exposing Prompts

– Write a template that induces users to ask effective questions and set it as a prompt decorator.

By adding resources, tools, and prompts in this way, a useful mCP server is completed.

4. How to Integrate with AI Applications

Integration with CLA Desktop App

– Register the server information in the configuration file (CLA desktop config.js).

– After recording the server name, execution command (UV run main.py), etc., restarting the CLA app connects it to the server.

– After connecting, users can interact with AI by utilizing the provided resources (stock market status) or prompts (best stock analysis).

Integration with csor is similar, and csor is mainly connected to the server centering on tool functions.

5. Future Prospects and Precautions

The introduction of mCP promotes the convergence of various technology ecosystems through the standardization of AI development.

For example, indie hackers can create new revenue models through the mCP server.

On the other hand, new challenges follow, such as user data collection and privacy issues, as the UI focuses on the chat window.

In addition, support for remote servers, OAuth authentication, and official server registries are expected to be introduced in the future to further improve usability.

6. Opportunities in the Developer and Economic Markets

mCP development technology is now a very important skill set in the fields of AI and server development, and data integration.

In particular, March and April are hot times in the job market, making it a good time for developers to seize career transition and growth opportunities.

Career platforms such as Wanted are also running AI and server-related job information, career guides, and reward events.

Therefore, developers need to take the lead in new technology trends to increase competitiveness.

Summary

mCP is a standard protocol developed by Anthropic for connecting AI apps. By clearly distinguishing the roles of the server and client, it supports efficient data integration and command execution through resources, tools, and prompts. It can be easily built with the Python SDK, and actual functions can be confirmed by linking with AI apps such as CLA and csor. In the future, usability is expected to be greatly improved with the introduction of remote server support, OAuth, and server registry. Focusing on SEO-optimized keywords such as economy, data, server development, AI, and technology, mCP will provide new opportunities for developers and indie hackers.

[Related Articles…]

*Source : [노마드 코더 Nomad Coders] Why You Need To Learn About MCP Right Now (Urgent!)

● UNLOCK Your #MCP Agent App Potential!

Introduction of the Latest MCP System, Core Structure, and Implementation Strategies

1. Understanding the Basic Concepts and Structure of MCP

Proper understanding of how the roles of server, client, and host are divided.
The server provides various sources and data, performing multiple functions such as local data sources, web searches, and legacy systems.
These MCP servers are registered on platforms like Smidderina MCP SO for easy access.

The host is handled by various applications such as Cursor AI, Claude Desktop, LangGraph, and LangChain, which we frequently use.
Although the host is implemented in various languages and frameworks, it communicates with the server through a client as an intermediary.
In actual development, the host app construction maximizes implementation efficiency by simply connecting the client and server.

2. Role of the Client and Communication Method

The client acts as an intermediary between the host and the server.
The server and client communicate through the JSON RPC method, which plays a crucial role in development, such as API calls.
It’s analogous to using an interpreter to communicate without learning Japanese when traveling to Japan.

In the MCP environment, there are two communication methods.
First, the SSE (Server-Sent Events) method is an HTTP-based remote communication method, which facilitates real-time integration with cloud servers.
Second, the STD IO method communicates by running a server locally and transmitting files and commands.
A combination of these two methods can be used to flexibly respond to various server environments.

3. Host App Implementation and Dynamic Addition of Tools

When implementing a host app, you can utilize pre-existing LangGraph or LangChain adapters through the MCP client.
It simplifies the server-client integration process that previously required meticulous development, and when updating, the structure changes to reflect only the changes of the remote server while maintaining the existing code.

Thanks to the system that dynamically adds tools, developers can register new tools on the cloud MCP server,
and the host app can apply them immediately without separate complex code changes.
For example, various tools such as Document Retriever or Desktop Commander are dynamically added,
allowing users to call them instantly whenever needed.

As such, MCP provides innovative communication and integration methods in AI, servers, clients, and development environments,
showing great advantages in terms of cost reduction and maintenance.

4. Real-Time Updates and Flexible Maintenance Strategies

With MCP, there’s no need to modify the entire host app when the legacy system or other tools are updated.
By updating only the files or tools on the remote server, the connected agent receives and processes the updated information.
This greatly alleviates the inconvenience of having to rewrite code from scratch in the existing development environment,
bringing business benefits in terms of reduced development costs and time.

If the client is already built, you can easily communicate with various MCP servers using the open-source MCP client or adapter,
and integrate the latest API calls and tools.
In other words, MCP-based host app development is possible with a simpler and more efficient structure than before.

Summary

In the latest MCP system, the configuration of server, client, and host is key.
The server provides various data sources, and the host implements seamless communication in conjunction with the client through applications such as Cursor AI or Claude Desktop.
It communicates using SSE and STD IO methods, and dynamic tool addition and updates using the open-source MCP client
greatly increase maintenance and development productivity.
This MCP structure implements innovative system integration, focusing on the SEO keywords of AI, server, client, API, and development.

*Source : [테디노트 TeddyNote] 🔥 Cursor AI 말고, 나만의 #MCP 에이전트 앱 만들어 보기! 🔥

● Unleash Peak Productivity Now!

A Comprehensive Guide to Integrating Notion Using Perplexity and Claude

This post provides a step-by-step explanation of how to integrate Claude with Notion data using the Perplexity MCP service.
It comprehensively covers key processes related to the top economy, global economy, future investments, financial markets, and economic outlook.
By reading the content below, you can understand everything from connecting the API key and setting up Claude to searching for data and creating Notion pages.

1. Accessing Perplexity MCP and Selecting a Service

Enter “Perplexity MCP” in the Google search bar and select the first result.
Once you access the service page, you will find detailed instructions and step-by-step installation guides for the Perplexity MCP server.
Developers may find this somewhat complex, but using the Smith site makes it easier to perform Perplexity searches.
If necessary, enter “Perplexity Search” in the search bar at the top to find and select the appropriate menu.

2. Connecting the API Key and Copying the JSON Code

First, go to ‘Settings’ in your Claude profile and select the ‘API’ item in the left menu.
Copy the API key displayed at the bottom and paste it into the corresponding field on the Smith site, then press the “Connect” button.
When the MCJSON code provided appears on the screen, select the version appropriate for your operating system (Mac or Windows) and copy the code.

3. Modifying the Claude Desktop Configuration File

Run the Claude desktop app and go to ‘Settings’.
Select ‘Edit Settings’ from the ‘Developer’ tab, open the Claude desktop config file, and paste the copied JSON code.
If you are already using another MCP server, modify the commas and curly braces in the JSON code to merge it with the existing code.
After completing the settings, you must completely quit (reboot) and reconnect to Claude for the changes to take effect.

4. Testing the Integration Between Claude and Perplexity

Once the connection is complete, you can check the ‘Search Perplexity’ connection in the MCP tool within Claude.
As an example, request “Top 5 hottest AI news recently” to confirm that Perplexity returns relevant results.
Also, check that the latest data search is working correctly by requesting “Top 5 news in Korea as of today’s date”.

5. Integrating Notion and Claude and Creating a Database

Create a new page in Notion and select ‘Connections’ by pressing the three-dot menu in the upper right corner.
Specify Claude MCP as the connection method and link it to the Notion page you have set up in advance.
After linking, send a “Create news database” request to Claude, and Claude will create a new page and database block.
At this time, each news article is written in a 500-character summary format, and specific contents are filled in using basic blocks.
Be aware that ‘Continue’ input may occur during Claude’s work process due to length restrictions.

< Summary >
The entire process of integrating Notion with data using Perplexity MCP and Claude is organized step by step.
First, access the Perplexity MCP service through a Google search and connect the API key to the Smith site.
After that, modify the JSON configuration file in Claude Desktop and complete the connection by reconnecting to Claude.
After conducting the latest news search test through the connected Claude, the final integration is done by creating a Notion page and database.
Through the entire process, you can check cloud-based data integration, automated news summary generation, etc.

*Source : [게으른 일잘러 LazyAchiever] Claude 검색 기능 등장? Perplexity 와 Notion MCP 조합으로 업무 효율을 높이세요!