Comparison
awesome-mcp-servers vs ququ
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.
Markdown twin · awesome-mcp-servers alternatives · ququ alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-mcp-servers | ququ |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1mo · github_public_v1 | Slowing (295d since push) As of 3w · github_public_v1 |
| Provenance | Not a fork · Personal account As of 1mo · github_public_v1 | Not a fork · Personal account As of 3w · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of 1mo · osv@v1 | No published findings from this source as of 2026-07-11 As of 1mo · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- 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
Stars
- awesome-mcp-servers
- 91k
- ququ
- 2.3k
Forks
- awesome-mcp-servers
- 13k
- ququ
- 230
Open issues
- awesome-mcp-servers
- 2.6k
- ququ
- 51
Language
- awesome-mcp-servers
- -
- ququ
- JavaScript
Adopt for
- awesome-mcp-servers
- awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
- ququ
- 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
- awesome-mcp-servers
- -
- ququ
- -
Runtime
- awesome-mcp-servers
- -
- ququ
- -
License
- awesome-mcp-servers
- MIT
- ququ
- Other
Last pushed
- awesome-mcp-servers
- Jul 4, 2026
- ququ
- Oct 8, 2025
Categories
- awesome-mcp-servers
- Developer Tools
- ququ
- Developer Tools, Speech & Audio
Trust and health
Maintenance
- awesome-mcp-servers
- Very active (96%)
- ququ
- Slowing (36%)
Days since push
- awesome-mcp-servers
- 6d
- ququ
- 295d
Open issues (now)
- awesome-mcp-servers
- 2.6k
- ququ
- 51
OSV dependency advisories
- awesome-mcp-servers
- No lockfile (source not queried)
- ququ
- No published findings from this source as of 2026-07-11
Full report
- awesome-mcp-servers
- Trust report
- ququ
- Trust report
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.
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.
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 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.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (punkpeye/awesome-mcp-servers) · observed Jul 26, 2026
- GitHub forks (punkpeye/awesome-mcp-servers) · observed Jul 26, 2026
- Last push (punkpeye/awesome-mcp-servers) · observed Jul 4, 2026
- License file (MIT) · observed Jul 26, 2026
- Decision facts (enrichment) · observed Jul 15, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (yan5xu/ququ) · observed Jul 30, 2026
- GitHub forks (yan5xu/ququ) · observed Jul 30, 2026
- Last push (yan5xu/ququ) · observed Oct 8, 2025
- License file (Other) · observed Jul 30, 2026
- Decision facts (enrichment) · observed Jul 17, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-mcp-servers 91k · ququ 2.3k (synced Jul 26, 2026).
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 and ququ alternatives (awesome-mcp-servers markdown twin, ququ markdown twin), 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 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; ququ trust report.