Xai MCP

The Xircuits MCP Component Library is a visual programming tool library for implementing Model Context Protocol (MCP) servers. It provides components for creating, configuring, and running MCP servers, and supports interactions with LLM applications through resources, tools, and prompt templates.

Artificial intelligence chatbots Developer tools #LLM Interaction #Protocol Server #Visual Programming .Python

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update time : 2025-04-28

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What is the Xircuits MCP Component Library?

This library helps you visually build servers that connect large language models (LLMs) with your data and tools. Using simple drag-and-drop components, you can create secure interfaces for AI applications without writing complex code.

How does it work?

The library provides color-coded components for different MCP functions: blue for tools (actions), green for resources (data), and purple for prompts (templates). You connect these components visually to define how your server should respond to LLM requests.

When should I use this?

Ideal when you want to: 1) Securely expose data to LLMs 2) Create custom AI tools 3) Standardize interactions with your AI applications 4) Build without deep coding knowledge

Key Features

Visual Server Builder

Drag-and-drop interface for designing MCP servers without writing code

Standard MCP Protocol

Implements the Model Context Protocol for secure, standardized LLM interactions

Pre-built Components

Ready-to-use components for tools, resources, prompts and server management

Server Lifecycle Control

Special components for startup and shutdown routines

Advantages

No coding required for basic implementations

Visual interface makes server logic easy to understand

Built-in support for MCP standards

Rapid prototyping of AI integrations

Limitations

Advanced customizations may still require Python knowledge

Currently only supports FastMCP server implementation

Limited to MCP protocol functionality

Getting Started

Install the Library

Install the component library through Xircuits or manually

Create a New Server

Drag the 'MCPCreateServer' component to your workflow

Add Capabilities

Drag start nodes (blue for tools, green for resources, purple for prompts) to define what your server can do

Connect Components

Link components to implement your server logic and set results

Run Your Server

Add the 'MCPRunServer' component to start your MCP server

Example Implementations

Calculator Tool

Create a simple addition tool for LLMs to use

Data Lookup Resource

Expose product information as queryable data

Standardized Prompt

Create a reusable customer service response template

Frequently Asked Questions

Do I need to know Python to use this?

Can I use this with any LLM?

How is this different from a regular API?

Can I deploy my server to production?

Additional Resources

Model Context Protocol Documentation

Official MCP specification and concepts

MCP Python SDK

Reference implementations and SDK

Xircuits Tutorials

Visual programming guides

Example MCP Servers

Sample implementations

🚀 Xircuits MCP Component Library

A Xircuits component library for implementing a Model Context Protocol (MCP) server. This library provides components that make it easy to create, configure, and run an MCP server using the Xircuits visual programming interface.

🚀 Quick Start

The Xircuits MCP Component Library simplifies the process of implementing a Model Context Protocol (MCP) server. With this library, you can leverage Xircuits' visual programming interface to create, configure, and run MCP servers efficiently.

✨ Features

What is the Model Context Protocol (MCP)?

Model Context Protocol (MCP) allows you to build APIs that expose data and functionality to large language model (LLM) applications in a secure and standardized way. Think of it as a Web API, but specifically designed for LLM interactions. An MCP server can:

Provide resources (similar to GET endpoints; used to load information into the LLM context).
Offer tools (similar to POST endpoints; used to execute code or produce side - effects).
Define prompts (reusable templates that define the LLM interaction pattern).
And more!

📦 Installation

Prerequisites

Python 3.8 or higher
Xircuits
MCP Python SDK

Installation Steps

To use this component library, make sure you have Xircuits installed, then run:

xircuits install https://github.com/xpressai/xai-mcp

Alternatively, you can manually copy the directory/clone or add it as a sub - module repository to your working Xircuits project directory, and then install the packages using the following command:

pip install -r requirements.txt

💻 Usage Examples

Components

This library provides components for implementing an MCP server, organized into the following categories:

Server Setup Components

MCPCreateServer: Creates a FastMCP server instance with a specified name and optional dependencies.
MCPRunServer: Starts the MCP server and keeps it running until interrupted.

Starting Node Components

These components serve as entry points for defining the functionality of the MCP server. You can drag them onto the canvas to respond to events:

MCPDefineTool(Royal Blue): Defines a tool for the MCP server, allowing the LLM to perform operations and calculations.
MCPDefineResource(Lime Green): Defines a resource for the MCP server, allowing the LLM to access data via URI patterns.
MCPDefinePrompt(Dark Orchid): Defines a prompt template for the MCP server, providing a reusable interaction pattern for the LLM.
MCPServerOnStart(Dark Orange): Defines the code to be executed when the MCP server starts.
MCPServerOnShutdown(Firebrick): Defines the code to be executed when the MCP server shuts down.