awesome-chatgpt-zh vs Awesome MCP Servers
Which should you use? A side-by-side look at what each one does, who it suits, what it costs, how hard it is to set up, and where each falls short.
Open source · MIT
A Chinese-language curated list of guides and resources for using ChatGPT and other AI tools.
Open source · MIT
A community-curated list of links to MCP (Model Context Protocol) servers, sorted by category.
The short answer
Choose awesome-chatgpt-zh if you need…
- Chinese-speaking users who want an organized starting point for ChatGPT and other AI tools
- People looking for prompt-writing guides in Chinese
- Developers scanning for AI application and agent resources
- Learners who want a map of the AI landscape with links to further reading
Choose Awesome MCP Servers if you need…
- Developers looking for an existing MCP server for a specific service such as a database or browser
- People exploring what kinds of tools AI assistants can be connected to
- Teams comparing options in a category like browser automation or databases before building their own
Side-by-side
| awesome-chatgpt-zh | Awesome MCP Servers | |
|---|---|---|
| Type | Curated list | Curated list |
| Price | Free and open source | Free and open source |
| Licence | MIT | MIT |
| GitHub stars | 11.8k | 97.2k |
| Setup difficulty | Beginner | Beginner |
| How you get it | See the README | Read it online |
| Main language | Python | — |
| Last code update | 4 days ago | 4 days ago |
What each one is
awesome-chatgpt-zh
This is a curated collection of links and guides, written mainly in Chinese, about ChatGPT and related large language models. It covers access methods, prompt writing, GPTs, developer resources, and newer topics such as DeepSeek, Claude Skills, MCP, and coding agents. It is a reading and reference list rather than a piece of software you run.
Awesome MCP Servers
This is a long, categorized list of servers that follow the Model Context Protocol, an open standard that lets AI models reach files, databases, and APIs through a common interface. It points to other projects rather than being a single program, so you browse it to find a server for a specific job. Each entry links to its repository and uses icons to mark language, whether it runs locally or in the cloud, and which operating systems it supports.
Best for
awesome-chatgpt-zh
- Chinese-speaking users who want an organized starting point for ChatGPT and other AI tools
- People looking for prompt-writing guides in Chinese
- Developers scanning for AI application and agent resources
- Learners who want a map of the AI landscape with links to further reading
Awesome MCP Servers
- Developers looking for an existing MCP server for a specific service such as a database or browser
- People exploring what kinds of tools AI assistants can be connected to
- Teams comparing options in a category like browser automation or databases before building their own
Strengths
awesome-chatgpt-zh
- Large, organized index of Chinese-language AI resources with a clear table of contents
- Covers both older ChatGPT material and newer topics such as MCP and agent tooling
- Open to contributions via issues and pull requests, and mirrored on GitLab for access in China
Awesome MCP Servers
- Very broad coverage, organized into many categories
- Icons make it quick to check language, local vs cloud, and OS support
- Maintained with a companion web directory that is synced with the repository
Not ideal for
awesome-chatgpt-zh
- People who need a software tool to install and run, since this repository is a list of links and documents
- English-only readers, because most of the content is in Chinese
- Readers who need verified, up-to-date technical accuracy for every linked resource, since the README does not state how entries are reviewed
Awesome MCP Servers
- Someone who wants a single ready-to-run app: this is only an index and installing any entry means following that project's own instructions
- Anyone needing a hosted server they can connect to by URL, since the README says that is covered by a separate list (awesome-remote-mcp-servers)
Trade-offs
awesome-chatgpt-zh
- It is a list of links, so quality and freshness depend on each linked resource, which the README does not verify in detail
- Much of the content is in Chinese, which limits use for English-only readers
- The README is truncated in this analysis, so the full scope of linked sections is not fully visible
Awesome MCP Servers
- It is a list of third-party projects, so quality and maintenance vary from entry to entry
- The README does not say how entries are vetted, so inclusion is not an endorsement
- Several entries are promotional or from commercial vendors, which the list does not fully explain
Getting started
awesome-chatgpt-zh
Clone the repository
git clone https://github.com/EmbraceAGI/awesome-chatgpt-zhAwesome MCP Servers
Clone the list locally (optional)
git clone https://github.com/punkpeye/awesome-mcp-serversFrequently asked questions
What is the difference between awesome-chatgpt-zh and Awesome MCP Servers?
awesome-chatgpt-zh: A Chinese-language curated list of guides and resources for using ChatGPT and other AI tools. Awesome MCP Servers: A community-curated list of links to MCP (Model Context Protocol) servers, sorted by category. awesome-chatgpt-zh suits chinese-speaking users who want an organized starting point for chatgpt and other ai tools, while Awesome MCP Servers suits developers looking for an existing mcp server for a specific service such as a database or browser.
Are awesome-chatgpt-zh and Awesome MCP Servers free?
awesome-chatgpt-zh: Free and open source. Awesome MCP Servers: Free and open source.
Is awesome-chatgpt-zh or Awesome MCP Servers more popular?
Awesome MCP Servers has more GitHub stars (97.2k) than awesome-chatgpt-zh (11.8k). Popularity isn't the same as fit — check which one matches your use case above.
Keep comparing
Built from our catalogue entries for both products: open-source details come from each project's README (AI-assisted, refreshed weekly) and GitHub data; AI-tool details are editorial. Spotted something wrong? Let us know from either product's page.