MCP-Server

0011Ashwin/MCP-Server

3.2

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The Model Context Protocol (MCP) Server is a system designed to facilitate communication between client applications and server-side functionalities, often leveraging language models and external APIs.

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MCP Server

MCP.png

Let's understand how it works....

  1. I/P (Input):This represents the input provided to the system. In the context of a "CHATBOT," this would be the user's query or message.

  2. Application (CHATBOT / LLM MCP Client):This is the core of the client-side application. CHATBOT: Indicates that the primary function is a conversational agent. LLM (Large Language Model): Suggests that the chatbot likely leverages an LLM for its conversational capabilities (understanding input, generating responses).MCP Client: This application acts as a client that communicates using the "MCP Protocol." This implies it sends requests to and receives responses from an MCP Server.

  3. MCP Protocol:This is a custom communication protocol used between the "Application (MCP Client)" and the "MCP Server." The diagram shows bidirectional arrows, indicating that both request and response flow through this protocol.

  4. MCP Server:This is the server-side component responsible for processing requests from the MCP Client. Functionality: It's shown connecting to external services or performing specific operations: Add, Multiplication: This might represent basic computational tasks or a generic example of functions the server can execute. Weather Call API: This indicates the server can integrate with external APIs, such as a weather service, to retrieve real-time data.

  5. Transport:This section describes the underlying methods for carrying the MCP Protocol messages. stdio: Standard input/output, which could mean communication over a local pipe or console for testing/debugging. http: Hypertext Transfer Protocol, a standard protocol for communication over the internet. This suggests the MCP Protocol can be layered on top of HTTP for network communication.

  6. Tools:This section lists tools or frameworks related to the development or implementation of this system. ā‘  MCP Server [langchain]: MCP Server: Confirms that the server is a key component being developed or utilized. [langchain]: This is a significant detail. LangChain is a framework for developing applications powered by language models. Its presence here strongly suggests that the MCP Server, or at least parts of its functionality (like orchestrating calls to different tools/APIs), are built using LangChain. This aligns with the "Add, Multiplication" and "Weather Call API" functions, as LangChain is designed to connect LLMs with various tools and data sources. ā‘” MCP Client: This indicates that the client-side component also involves specific tools or development efforts. stdio: Reiterates stdio as a communication method, likely for testing. http: Reiterates http as a communication method, likely for production deployment. Overall Flow:

A user provides Input to the Application (CHATBOT / LLM MCP Client). The MCP Client processes this input, potentially using an LLM, and then formulates a request using the MCP Protocol. This request is sent over a chosen Transport method (stdio or http) to the MCP Server. The MCP Server, possibly leveraging LangChain, interprets the request and performs the necessary actions. These actions could involve: Executing internal functions (e.g., "Add, Multiplication"). Making calls to external APIs (e.g., "Weather Call API"). The MCP Server then sends a response back to the MCP Client via the MCP Protocol and the chosen Transport. The MCP Client receives the response and presents it back to the user as the chatbot's output.