Xai MCP

Xircuits MCP组件库是一个用于实现模型上下文协议(MCP)服务器的可视化编程工具库,提供创建、配置和运行MCP服务器的组件,支持通过资源、工具和提示模板与LLM应用交互。
2分
11

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 BuilderDrag-and-drop interface for designing MCP servers without writing code
Standard MCP ProtocolImplements the Model Context Protocol for secure, standardized LLM interactions
Pre-built ComponentsReady-to-use components for tools, resources, prompts and server management
Server Lifecycle ControlSpecial components for startup and shutdown routines

Pros and Cons

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 ToolCreate a simple addition tool for LLMs to use
Data Lookup ResourceExpose product information as queryable data
Standardized PromptCreate 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
安装
复制以下命令到你的Client进行配置
注意:您的密钥属于敏感信息,请勿与任何人分享。
精选MCP服务推荐
Duckduckgo MCP Server
已认证
DuckDuckGo搜索MCP服务器,为Claude等LLM提供网页搜索和内容抓取服务
Python
972
4.3分
Firecrawl MCP Server
Firecrawl MCP Server是一个集成Firecrawl网页抓取能力的模型上下文协议服务器,提供丰富的网页抓取、搜索和内容提取功能。
TypeScript
4.1K
5分
Figma Context MCP
Framelink Figma MCP Server是一个为AI编程工具(如Cursor)提供Figma设计数据访问的服务器,通过简化Figma API响应,帮助AI更准确地实现设计到代码的一键转换。
TypeScript
6.8K
4.5分
Edgeone Pages MCP Server
EdgeOne Pages MCP是一个通过MCP协议快速部署HTML内容到EdgeOne Pages并获取公开URL的服务
TypeScript
324
4.8分
Exa Web Search
已认证
Exa MCP Server是一个为AI助手(如Claude)提供网络搜索功能的服务器,通过Exa AI搜索API实现实时、安全的网络信息获取。
TypeScript
1.9K
5分
Baidu Map
已认证
百度地图MCP Server是国内首个兼容MCP协议的地图服务,提供地理编码、路线规划等10个标准化API接口,支持Python和Typescript快速接入,赋能智能体实现地图相关功能。
Python
821
4.5分
Minimax MCP Server
MiniMax Model Context Protocol (MCP) 是一个官方服务器,支持与强大的文本转语音、视频/图像生成API交互,适用于多种客户端工具如Claude Desktop、Cursor等。
Python
901
4.8分
Context7
Context7 MCP是一个为AI编程助手提供实时、版本特定文档和代码示例的服务,通过Model Context Protocol直接集成到提示中,解决LLM使用过时信息的问题。
TypeScript
5.4K
4.7分
AIbase
智启未来,您的人工智能解决方案智库
简体中文