Comparison
gpt_academic vs mcpproxy-go
Verdict
Pick gpt_academic when gpt_academic is primarily Python; mcpproxy-go is Go; pick mcpproxy-go when mcpproxy-go is primarily Go; gpt_academic is Python.
Markdown twin · gpt_academic alternatives · mcpproxy-go alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | gpt_academic | mcpproxy-go |
|---|---|---|
| Maintenance | Slowing (166d since push) As of today · github_public_v1 | Very active (0d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Personal account As of today · github_public_v1 | Not a fork · Organization account As of today · github_public_v1 |
| Security (OSV) | No lockfile As of today · none | No criticals As of today · osv@v1 |
Tagline
- gpt_academic
- 提供实用化交互接口，优化论文阅读/润色/写作体验
- mcpproxy-go
- Supercharge AI Agents, Safely
Stars
- gpt_academic
- 71k
- mcpproxy-go
- 285
Forks
- gpt_academic
- 8.3k
- mcpproxy-go
- 36
Open issues
- gpt_academic
- 329
- mcpproxy-go
- 14
Language
- gpt_academic
- Python
- mcpproxy-go
- Go
Adopt for
- gpt_academic
- gpt_academic专为增强与GPT/GLM等大语言模型的交互，优化论文写作、润色和阅读体验。它支持自定义模块、多种LLM接入，并且拥有PDF/LaTeX文档处理功能。
- mcpproxy-go
- -
Persona
- gpt_academic
- -
- mcpproxy-go
- -
Runtime
- gpt_academic
- -
- mcpproxy-go
- -
License
- gpt_academic
- 使用GPL-3.0许可证，这意味着你可以自由地运行、学习、分享和修改这个软件，但是如果你在分发含gpt_academic的程序时，你必须公开整个程序源代码且采用同为GPL许可证
- mcpproxy-go
- MIT
Last pushed
- gpt_academic
- Jan 25, 2026
- mcpproxy-go
- Jul 11, 2026
Categories
- gpt_academic
- Developer Tools, LLM Frameworks
- mcpproxy-go
- AI Agents, Developer Tools, LLM Frameworks
Trust and health
Maintenance
- gpt_academic
- Slowing (36%)
- mcpproxy-go
- Very active (96%)
Days since push
- gpt_academic
- 166d
- mcpproxy-go
- 0d
Open issues (now)
- gpt_academic
- 329
- mcpproxy-go
- 14
Owner type
- gpt_academic
- User
- mcpproxy-go
- Organization
Security scan
- gpt_academic
- No lockfile
- mcpproxy-go
- No criticals
Full report
- gpt_academic
- Trust report
- mcpproxy-go
- Trust report
Choose gpt_academic if…
- gpt_academic is primarily Python; mcpproxy-go is Go.
- License: gpt_academic is GPL-3.0, mcpproxy-go is MIT.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4.
- 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时
When NOT to use gpt_academic
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况
- 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意
- 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现）
- 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
Choose mcpproxy-go if…
- mcpproxy-go is primarily Go; gpt_academic is Python.
- License: mcpproxy-go is MIT, gpt_academic is GPL-3.0.
- Tags unique to mcpproxy-go: ai, ai-agents, audit-logging, bm25.
- Also covers AI Agents.
When NOT to use mcpproxy-go
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism.
- Developer Tools: A gateway is overkill when you're pinned to a single provider and model.
- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (binary-husky/gpt_academic) · observed Jul 11, 2026
- GitHub forks (binary-husky/gpt_academic) · observed Jul 11, 2026
- Last push (binary-husky/gpt_academic) · observed Jan 25, 2026
- License file (GPL-3.0) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- GitHub forks (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- Last push (smart-mcp-proxy/mcpproxy-go) · observed Jul 11, 2026
- License file (MIT) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: gpt_academic 71k · mcpproxy-go 285 (synced Jul 11, 2026).
Common questions
- What is the difference between gpt_academic and mcpproxy-go?
- gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.
- When should I choose gpt_academic over mcpproxy-go?
- Choose gpt_academic over mcpproxy-go when gpt_academic is primarily Python; mcpproxy-go is Go; License: gpt_academic is GPL-3.0, mcpproxy-go is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: academic, chatglm-6b, chatgpt, gpt-4; 需要使用GPT或GLM大语言模型进行高效的学术论文相关任务时.
- When should I choose mcpproxy-go over gpt_academic?
- Choose mcpproxy-go over gpt_academic when mcpproxy-go is primarily Go; gpt_academic is Python; License: mcpproxy-go is MIT, gpt_academic is GPL-3.0; Tags unique to mcpproxy-go: ai, ai-agents, audit-logging, bm25; Also covers AI Agents.
- When should I avoid gpt_academic?
- 主要任务不是围绕论文和学术资料处理时, 特别是不涉及到大语言模型的实际应用情况 不需要自定义快捷按钮与高级功能插件，且对通用的大语言模型交互界面已经满意 侧重于文本创作以外的开发流程优化（例如：性能调优或低层级编程实现） 只需要基本的数据翻译或总结工具，无需连接多个大语言模型来提升任务效率
- When should I avoid mcpproxy-go?
- AI Agents: Don't use an agent loop when a deterministic workflow would do; agents add latency, cost, and non-determinism. Developer Tools: A gateway is overkill when you're pinned to a single provider and model. LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- Is gpt_academic or mcpproxy-go more popular on GitHub?
- gpt_academic has more GitHub stars (71,056 vs 285). Stars measure visibility, not whether either tool fits your constraints.
- Are gpt_academic and mcpproxy-go open source?
- Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, mcpproxy-go: MIT).
- Where can I find alternatives to gpt_academic or mcpproxy-go?
- GraphCanon lists graph-backed alternatives at gpt_academic alternatives and mcpproxy-go alternatives (gpt_academic markdown twin, mcpproxy-go 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, gpt_academic or mcpproxy-go?
- gpt_academic: Slowing. mcpproxy-go: Very active. 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 gpt_academic and mcpproxy-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: gpt_academic trust report; mcpproxy-go trust report.