入门攻略
MCP提交
探索
MCP Zenml
概述
安装
内容详情
替代品
What is ZenML MCP Server?
The ZenML MCP Server acts as a bridge between AI applications and your ZenML platform, allowing AI models to query information about your ML pipelines, stacks, runs and other ZenML resources through a standardized protocol.How does it work?
The server implements the Model Context Protocol (MCP) standard which works like a 'USB-C port for AI applications'. AI clients like Claude or Cursor can connect to your ZenML data through this standardized interface.When to use it?
Use this when you want AI assistants to help analyze your ML pipeline status, investigate run results, or trigger new pipeline executions through natural language queries.Key Features
ZenML Data AccessRead access to pipelines, runs, stacks, artifacts and other ZenML resources
Pipeline ControlTrigger new pipeline runs from existing templates
Log AccessView step execution logs for cloud-based runs
Standard ProtocolUses MCP standard for consistent AI application integration
Pros and Cons
Advantages
Provides AI assistants with real-time access to your ML pipeline data
Standardized interface works with multiple AI clients
No need to build custom integrations for each AI tool
Secure access through ZenML API keys
Limitations
Currently in beta - some features may change
Requires ZenML Cloud account
Read-only for most resources (except pipeline triggering)
Artifact metadata only (not actual data files)
Setup Guide
Install prerequisitesInstall uv package manager and clone the repository
Create MCP configCreate a JSON configuration file with your ZenML server details and API key
Configure your AI clientAdd the config file to your preferred AI client (Claude Desktop or Cursor)
Example Use Cases
Pipeline AnalysisAsk your AI assistant to analyze recent pipeline runs
Triggering RunsStart new pipeline executions through natural language
Frequently Asked Questions
1
Do I need ZenML Cloud to use this?Yes, currently this requires access to a ZenML Cloud server.
2
Which AI clients support MCP?Currently Claude Desktop and Cursor are known to support MCP, with more clients likely to add support.
3
Is my data secure?Yes, the connection uses your ZenML API key and only accesses what your account permissions allow.
Additional Resources
MCP Protocol DocumentationLearn about the Model Context Protocol standard
ZenML WebsiteOfficial ZenML platform website
ZenML CloudSign up for ZenML Cloud
精选MCP服务推荐
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
2,956
5分
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
212
4.3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
6,102
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
88
4.8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
323
4.5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
1,429
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
364
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
4,853
4.7分
