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A guide to advanced Model Context Protocol concepts, including reusable prompts, requests for text generation, resource roots, and communication transports. MCP is a standard for connecting AI assistants with tools and data.
Cursor rule Cursor
A guide to advanced Model Context Protocol concepts, including reusable prompts, requests for text generation, resource roots, and communication transports. MCP is a standard for connecting AI assistants with tools and data.
Cursor rule Cursor
A guide to the core architecture of the Model Context Protocol (MCP), a standard way for AI applications to connect with data sources and tools. It explains hosts, clients, servers, resources, tools, and other protocol concepts.
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A set of guidelines for building MCP clients—programs that connect to MCP servers to discover and use their tools, resources, and prompts.
Cursor rule Cursor
A guide to defining and exposing resources in MCP, a standard that lets AI assistants use data from connected servers. It covers resource addresses, content, metadata, permissions, listing, updates, and retrieval.
Cursor rule Cursor
A reference guide for building MCP servers, which are programs that let AI clients safely access data and run operations. It covers the Model Context Protocol, a standard way for these programs to communicate.
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A Chinese-language guide to defining and exposing tools through MCP, a standard way for AI clients to discover and call server-provided actions.
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A guide to managing Python dependencies and building packages with uv, a fast tool that installs and resolves Python packages. It focuses especially on projects published to PyPI, the main public index for Python packages.
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A project-structure guide for Python servers that use MCP, a standard for connecting AI assistants to tools. It recommends where to put source code, configuration, dependencies, tests, documentation, and related files.
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A set of coding rules for Python projects, based on Google’s Python Style Guide and common Python practices. It covers formatting, imports, naming, and related project conventions.
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A set of guidelines for writing comments in Python source code. It covers clarity, language, formatting, inline comments, and keeping comments accurate as code changes.
MCP server Claude CodeCodexCursor
MCP server "mcp-xhs-publisher" as configured in noveldig/mcp-xhs-publisher. Runs locally from the mcp-xhs-publisher Python package.