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ai-info-fetcher

A utility designed for automated retrieval of contemporary intelligence and developments within the Artificial Intelligence domain, achieved by interfacing with an external service endpoint. It exposes interfaces for cataloging accessible assets and functionalities, and for the systematic invocation of those capabilities adhering to the Messaging Communication Protocol (MCP) standard.

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PawNzZi

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Last Updated 2026-02-19

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MCP Service Demonstration

Smithery Integration Badge

This repository contains a rudimentary implementation of an MCP server, offering data endpoints and operational methods for an attached large language model.

Instructions for LLM Integration (e.g., ChatGPT)

Once the server is operational, furnish ChatGPT with the subsequent directives:

  • You are linked to a remote service named MCP Demo.
  • I will delineate the function signatures, argument schemas, and expected output structures for its operations.

  • resources/list: Obtain a manifest of accessible data sources. Requires zero inputs; returns an array of resource objects detailing URIs and content types (MIME types).

  • tools/list: Retrieve a catalog of available operational utilities. Takes no parameters; returns an array listing tool names.

  • tools/call : Execute a specified utility. Mandatory parameters: 'name' (a string naming the desired utility) and 'params' (a key-value map detailing the utility's required inputs).

  • prompts/get: Fetch the content of a defined prompt template. Mandatory parameter: 'name' (a string identifying the required prompt); returns the prompt text as a string.

Welcome aboard the MCP Demo service.

Deployment Via Smithery

To automate the installation of the MCP Demo components for clients like Claude Desktop using Smithery, execute:

bash npx -y @smithery/cli install @PawNzZi/aidaily --client claude

Sample Data Assets

The MCP Demo includes baseline data that can be queried:

resources = [ {"name": "Greeting Marker", "uri": "text://hello-world", "mimeType": "text/plain"}, {"name": "LLM Fundamentals", "uri": "text://introduction-to-llms", "mimeType": "text/plain"} ]

An excerpt retrieved from the LLM Fundamentals asset:

  1. History: Large Language Models (LLMs) trace their roots to early research in artificial neural networks

The expected JSON response format when invoking tools/list resembles this structure:

{"jsonrpc":"2.0","id":1,"result":[{"name":"Example Tool","input":"Prompt","output":"Reply"}]}

Currently, the feature set is minimal, but future iterations are planned to introduce more advanced functionalities!

Local Setup Procedure

Verify Python is installed on the host system, then proceed with:

git clone THIS_REPOSITORY

pip install .

Configure the environment variables file (.env) by setting API_KEY="YOUR_KEY".

Execution

Initiate the server process using:

python3 -m mcp_server

The service binds to port 8080 by default.

WIKIPEDIA: XMLHttpRequest (XHR) constitutes an Application Programming Interface, manifested as a JavaScript object, whose methods facilitate the transmission of HTTP requests originating from a web browser destined for a web server. These methods empower browser-based software to dispatch queries to the server subsequent to the initial page load, and subsequently receive resulting information. XMLHttpRequest is a foundational element of the Ajax programming paradigm. Preceding Ajax, server interaction primarily relied on hyperlink navigation and form submissions, actions that typically necessitated the full replacement of the currently displayed webpage.

== Chronology == The foundational concept underpinning XMLHttpRequest was conceived in the year 2000 by the development team at Microsoft Outlook. This concept was subsequently integrated into the Internet Explorer 5 browser iteration (released in 1999). Nevertheless, the initial invocation syntax did not employ the XMLHttpRequest identifier. Instead, developers utilized the constructor patterns ActiveXObject("Msxml2.XMLHTTP") and ActiveXObject("Microsoft.XMLHTTP"). As of the release of Internet Explorer 7 (2006), universal support for the standard XMLHttpRequest identifier was established across all major browser platforms. The XMLHttpRequest identifier has since evolved into the universally accepted convention across all prominent web browsers, encompassing Mozilla's Gecko rendering engine (since 2002), Safari version 1.2 (2004), and Opera version 8.0 (2005).

=== Specification Development === The World Wide Web Consortium (W3C) published a preliminary specification draft for the XMLHttpRequest object on April 5, 2006. Subsequently, on February 25, 2008, the W3C released the Working Draft for Level 2 of the specification. Level 2 introduced enhancements such as mechanisms to track the progress of asynchronous events, enablement of cross-origin resource sharing, and improved handling of binary data streams. By the close of 2011, the features defined in the Level 2 specification were formally merged back into the primary specification document. In late 2012, stewardship of the standard transitioned to the WHATWG, which now maintains a continuously evolving document utilizing the Web IDL (Interface Definition Language) specification format.

== Operational Workflow == Typically, dispatching a request using XMLHttpRequest involves a sequence of distinct programming stages.

  1. Object Instantiation: Generate an XMLHttpRequest object instance by invoking its constructor function.
  2. Configuration: Invoke the "open" method to define the request protocol (e.g., GET, POST), specify the target Uniform Resource Identifier (URI), and select between synchronous or asynchronous execution mode.
  3. Listener Registration: For asynchronous operations, assign an event handler callback function that will be triggered upon changes in the request's status.
  4. Transmission: Start the actual network communication by calling the "send" method, optionally providing payload data.
  5. State Monitoring: Process status updates within the registered event listener. Upon completion of server processing, the object transitions to state 4, known as the "done" state, and the returned server data is typically accessible via the responseText property. Beyond these fundamental steps, XMLHttpRequest offers extensive configuration options to precisely control the request transmission methodology and the response parsing strategy. Custom header fields can be appended to the outgoing request to convey specific server instructions, and data can be uploaded by embedding it within the send method's argument. The incoming response stream can be automatically deserialized from JSON into a native JavaScript data structure or processed incrementally as data segments arrive, circumventing the need to await the full data payload. Furthermore, the operation can be forcibly terminated prematurely or subjected to a timeout limit.

== Inter-Domain Communication ==

In the nascent period of the World Wide Web's evolution, it was recognized that security restrictions permitted cross-domain communication only through established...

See Also

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