Xircuits MCP Component Library

@XpressAI

リポジトリ

基本情報

カテゴリ

開発者ツール

ライセンス

Apache-2.0

トランスポート

stdio

作者

XpressAI

Xircuits MCP Component Library について

A Xircuits component library for defining MCP servers.

#xai-mcp#mcp-servers#xircuits

Xircuits MCP Component Library の設定

標準の設定はありません

このサーバーの README には解析可能な MCP 設定ブロックが含まれていません。インストール手順はリポジトリをご確認ください。

リポジトリ

Xircuits MCP Component Library のツール

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ツールは README から自動的に抽出されます。メンテナーは ## Tools という見出しの下に記載することで、このタブに反映できます。

概要

What is Xircuits MCP Component Library?

The Xircuits MCP Component Library is a collection of visual programming components for building Model Context Protocol (MCP) servers using the Xircuits interface. It provides nodes to create, configure, and run MCP servers, enabling developers to expose data and functionality to LLM applications in a standardized way.

How to use Xircuits MCP Component Library?

Install the library via xircuits install https://github.com/xpressai/xai-mcp or manually clone the repository and run pip install -r requirements.txt. In a Xircuits workflow, drag components onto the canvas to define server capabilities such as tools, resources, and prompts, then connect them to implement logic and run the server.

Key features of Xircuits MCP Component Library

Server setup components: MCPCreateServer, MCPRunServer
Start nodes for defining tools, resources, and prompts
Result setting components for tool, resource, and prompt executions
Utility components for arguments, progress, images, and messages
Lifecycle management with on-start and on-shutdown nodes

Use cases of Xircuits MCP Component Library

Build an MCP server that exposes a calculator tool to LLM applications
Define resources that provide data through URI patterns
Create reusable prompt templates for consistent LLM interactions
Implement server startup and shutdown logic for resource initialization
Develop custom MCP servers entirely within a visual programming environment

よくある質問

What is the Model Context Protocol (MCP)?

MCP is a standard for building servers that expose data and functionality to LLM applications, similar to a web API but designed for LLM interactions. It supports Resources (data loading), Tools (code execution), and Prompts (interaction templates).

What are the prerequisites for using this library?

You need Python 3.8 or higher, Xircuits, and the MCP Python SDK.

How do I install the Xircuits MCP Component Library?

Run `xircuits install https://github.com/xpressai/xai-mcp` in your Xircuits environment, or manually clone the repository and install the dependencies with `pip install -r requirements.txt`.

What components are included in the library?

The library includes server setup components (MCPCreateServer, MCPRunServer), start nodes for defining tools, resources, prompts, and lifecycle events, result setting components, and utility components for arguments, images, progress, and messages.

What license is the library under?

The library is licensed under the Apache License 2.0.

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