--- title: "awesome-mcp-servers vs ququ" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/punkpeye-awesome-mcp-servers-vs-yan5xu-ququ" tools: ["punkpeye-awesome-mcp-servers", "yan5xu-ququ"] --- # awesome-mcp-servers vs ququ *GraphCanon updated Aug 25, 2026* ## Verdict Pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration; pick ququ if ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. [awesome-mcp-servers](https://glama.ai/mcp/servers) reports 91k GitHub stars, 13k forks, and 2.6k open issues, last pushed Jul 4, 2026. [ququ](https://github.com/yan5xu/ququ) has 2.3k stars, 230 forks, and 51 open issues, last pushed Oct 8, 2025. Figures are from public GitHub metadata via [awesome-mcp-servers's repository](https://github.com/punkpeye/awesome-mcp-servers) and [ququ's repository](https://github.com/yan5xu/ququ). | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [ququ](/tools/yan5xu-ququ.md) | | --- | --- | --- | | Tagline | A collection of MCP servers | Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow | | Stars | 90,602 | 2,251 | | Forks | 12,821 | 230 | | Open issues | 2,557 | 51 | | Language | - | JavaScript | | Adopt for | awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. | ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. | | Persona | - | - | | Runtime | - | - | | License | MIT | Other | | Categories | Developer Tools | Developer Tools, Speech & Audio | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-mcp-servers](/tools/punkpeye-awesome-mcp-servers.md) | [ququ](/tools/yan5xu-ququ.md) | | --- | --- | --- | | Maintenance | Very active (96%) | Slowing (36%) | | Days since push | 6d | 295d | | Open issues (now) | 2.6k | 51 | | Full report | [trust report](/tools/punkpeye-awesome-mcp-servers/trust.md) | [trust report](/tools/yan5xu-ququ/trust.md) | ## Decision facts: awesome-mcp-servers - **Adopt for:** awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration. ## Decision facts: ququ - **Pricing:** freemium - Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects. - **Requirements:** Min 2 GB RAM - **Adopt for:** ququ is an open-source speech-to-text solution that focuses on privacy and Chinese-speaking users, integrating with FunASR for local processing and configurable large language models. ## Choose when ### Choose awesome-mcp-servers if… - License: awesome-mcp-servers is MIT, ququ is Other. - Tags unique to awesome-mcp-servers: ai, mcp, server-resources. - If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. ### Choose ququ if… - License: ququ is Other, awesome-mcp-servers is MIT. - Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects.. - Requirements: Min 2 GB RAM. - Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr. - Also covers Speech & Audio. - When you require a tool specifically tailored to the Chinese language in a desktop environment. ## When NOT to use awesome-mcp-servers - Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ## When NOT to use ququ - In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits. - When the project requires support for multiple languages beyond Chinese. - For integration into mobile apps, as ququ focuses on desktop workflows. ## Common questions ### What is the difference between awesome-mcp-servers and ququ? awesome-mcp-servers: A collection of MCP servers. ququ: Open-source free Wispr Flow alternative integrating FunASR local models and configurable large language models for next-generation Chinese desktop voice workflow. See the comparison table for live GitHub stats and shared categories. ### When should I choose awesome-mcp-servers over ququ? Choose awesome-mcp-servers over ququ when License: awesome-mcp-servers is MIT, ququ is Other; Tags unique to awesome-mcp-servers: ai, mcp, server-resources; If your project requires detailed resources and tools around MCP server capabilities for AI projects, awesome-mcp-servers is well-suited as it focuses solely on this niche area of technology. ### When should I choose ququ over awesome-mcp-servers? Choose ququ over awesome-mcp-servers when License: ququ is Other, awesome-mcp-servers is MIT; Pricing: Free to use with no paid options mentioned. Open-source license allows free modifications and distribution for privacy-focused projects.; Requirements: Min 2 GB RAM; Tags unique to ququ: ai-text-processing, chinese-speech-recognition, electron-app, funasr; Also covers Speech & Audio; When you require a tool specifically tailored to the Chinese language in a desktop environment. ### When should I avoid awesome-mcp-servers? Avoid using awesome-mcp-servers if your project does not involve utilizing or exploring the specific functionalities of MCP servers in relation to AI applications. ### When should I avoid ququ? In environments where real-time processing speed is prioritized over local model accuracy and privacy benefits. When the project requires support for multiple languages beyond Chinese. For integration into mobile apps, as ququ focuses on desktop workflows. ### Is awesome-mcp-servers or ququ more popular on GitHub? awesome-mcp-servers has more GitHub stars (90,602 vs 2,251). Stars measure visibility, not whether either tool fits your constraints. ### Are awesome-mcp-servers and ququ open source? Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, ququ: Other). ### Where can I find alternatives to awesome-mcp-servers or ququ? GraphCanon lists graph-backed alternatives at [awesome-mcp-servers alternatives](/tools/punkpeye-awesome-mcp-servers/alternatives) and [ququ alternatives](/tools/yan5xu-ququ/alternatives) ([awesome-mcp-servers markdown twin](/tools/punkpeye-awesome-mcp-servers/alternatives.md), [ququ markdown twin](/tools/yan5xu-ququ/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/punkpeye-awesome-mcp-servers-vs-yan5xu-ququ.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, awesome-mcp-servers or ququ? awesome-mcp-servers: Very active. ququ: Slowing. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for awesome-mcp-servers and ququ? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [awesome-mcp-servers trust report](/tools/punkpeye-awesome-mcp-servers/trust); [ququ trust report](/tools/yan5xu-ququ/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers`](/api/graphcanon/graph?tool=punkpeye-awesome-mcp-servers) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_