What caused errors in Cline when using the MCP server?
Cline may log successful operations as errors to stderr; setting the log level to error resolved the issue.
MCP Tutorials
@kwonci
基本信息
关于 MCP Tutorials
Tutorial for mcp server
MCP Tutorials 配置
MCP Tutorials 工具
工具列表暂未提供
当前收录暂时没有可展示的工具列表，不代表服务没有工具。请查阅项目文档了解支持的能力。
工具是从 README 中自动提取的。维护者可以在 ## Tools 标题下列出工具,即可填充这部分内容。
概览
What is MCP Tutorials?
MCP Tutorials is a collection of notes and examples for setting up and using Model Context Protocol (MCP) servers with the Cline client. It covers resource discovery, prompt templates, image return, and the Python SDK, aimed at developers learning MCP.
How to use MCP Tutorials?
Follow the quickstart guide on modelcontextprotocol.io to create an MCP server. Use the server with Cline; if Cline reports errors, set the log level to error to suppress non-critical stderr output. Reinstall Python linter and formatter as ruff if needed.
Key features of MCP Tutorials
- Integrates MCP server with Cline client
- Covers resource discovery (direct and template URIs)
- Explains prompt discovery and usage APIs
- Demonstrates image return from MCP server
- Uses Python SDK for implementation
- Distinguishes between tools and resources abstractions
Use cases of MCP Tutorials
- Accessing filesystem data using MCP server tools
- Retrieving data via drive resources with URI templates
- Understanding how resources differ from tools (data vs operations)
- Creating reusable prompt templates for standardized LLM interactions
- Returning images from an MCP server to a client
常见问题
Does the MCP server avoid API requests?
No, API requests are still used. Each tool call generates two requests, costing approximately $0.05 and $0.03.
What is the difference between resources and tools in MCP?
Resources provide data (like GET), while tools provide operations (like POST). Both can achieve similar results but offer different abstractions.
How are resource read handlers defined?
Using the `@mcp.resource()` decorator with a URI string, or `@mcp.resource(uri_template)` for template‑based resources.
How are prompts defined in an MCP server?
Implement two APIs: prompts discovery (returns name, description, arguments) and prompts usage (returns dynamic prompts based on resources, possibly multiple).
其他 分类下的更多 MCP 服务器
Health by Dr Brad
Dr Brad StanfieldHealth by Dr Brad works out a health plan from your own results: which screening is due at your age, and evidence-based suggestions, each with the reason and the published guideline or study behind it. Your record is one
ICSS
chokcoco不止于 CSS
20.7K
Handl
Handl speaks the Model Context Protocol. Your whole billing operation — projects, invoices, clients, reports, approvals — as tools any AI assistant can call, inside your autonomy rules.
Klarix Intelligence Engine
KlarixB2B competitive intelligence, live sales battlecards, 5-axis ICP prospect fit scoring, and tech stack teardowns over MCP and REST with cited public-web evidence.
P
PickFu MCP
PickFu MCP is a Model Context Protocol (MCP) server that connects AI assistants, developers, marketers, product managers, and AI agents to PickFu's consumer research platform. It enables users to create surveys, conduct
评论