---
title: "gpt_academic vs ida-pro-mcp"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/binary-husky-gpt-academic-vs-mrexodia-ida-pro-mcp"
tools: ["binary-husky-gpt-academic", "mrexodia-ida-pro-mcp"]
---

# gpt_academic vs ida-pro-mcp

*GraphCanon updated Jul 11, 2026*

## Verdict

Pick gpt_academic when license: gpt_academic is GPL-3.0, ida-pro-mcp is MIT; pick ida-pro-mcp when license: ida-pro-mcp is MIT, gpt_academic is GPL-3.0.

[gpt_academic](https://github.com/binary-husky/gpt_academic/wiki/online) reports 71k GitHub stars, 8.3k forks, and 329 open issues, last pushed Jan 25, 2026. [ida-pro-mcp](https://plugins.hex-rays.com/mrexodia/ida-pro-mcp) has 10k stars, 1.2k forks, and 43 open issues, last pushed Jun 22, 2026. Figures are from public GitHub metadata via [gpt_academic's repository](https://github.com/binary-husky/gpt_academic) and [ida-pro-mcp's repository](https://github.com/mrexodia/ida-pro-mcp).

| | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [ida-pro-mcp](/tools/mrexodia-ida-pro-mcp.md) |
| --- | --- | --- |
| Tagline | 提供实用化交互接口，优化论文阅读/润色/写作体验 | AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP. |
| Stars | 71,056 | 10,029 |
| Forks | 8,350 | 1,187 |
| Open issues | 329 | 43 |
| Language | Python | Python |
| Adopt for | 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。 | - |
| Persona | - | - |
| Runtime | - | - |
| License | 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 | MIT |
| Categories | LLM Frameworks, Developer Tools | LLM Frameworks, AI Agents, Developer Tools |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [gpt_academic](/tools/binary-husky-gpt-academic.md) | [ida-pro-mcp](/tools/mrexodia-ida-pro-mcp.md) |
| --- | --- | --- |
| Maintenance | Slowing (36%) | Active (82%) |
| Days since push | 166d | 18d |
| Open issues (now) | 329 | 43 |
| Security scan | No lockfile | No MCP manifest |
| Full report | [trust report](/tools/binary-husky-gpt-academic/trust.md) | [trust report](/tools/mrexodia-ida-pro-mcp/trust.md) |

## Decision facts: gpt_academic

- **Pricing:** freemium
- **Requirements:** Min 8 GB RAM; 依赖Python环境
- **Adopt for:** 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。
- **License detail:** 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

## Choose when

### Choose gpt_academic if…

- License: gpt_academic is GPL-3.0, ida-pro-mcp is MIT.
- Requirements: Min 8 GB RAM; 依赖Python环境.
- Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, gpt-4.
- gpt_academic ships Docker support for self-hosted deployment.
- 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

### Choose ida-pro-mcp if…

- License: ida-pro-mcp is MIT, gpt_academic is GPL-3.0.
- Tags unique to ida-pro-mcp: binary-analysis, mcp-server, modelcontextprotocol, ai.
- Also covers AI Agents.

## 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

## When NOT to use ida-pro-mcp

- LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves.
- 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.

## Common questions

### What is the difference between gpt_academic and ida-pro-mcp?

gpt_academic: 提供实用化交互接口，优化论文阅读/润色/写作体验. ida-pro-mcp: AI-powered reverse engineering assistant that bridges IDA Pro with language models through MCP.. See the comparison table for live GitHub stats and shared categories.

### When should I choose gpt_academic over ida-pro-mcp?

Choose gpt_academic over ida-pro-mcp when License: gpt_academic is GPL-3.0, ida-pro-mcp is MIT; Requirements: Min 8 GB RAM; 依赖Python环境; Tags unique to gpt_academic: large-language-models, academic, chatglm-6b, gpt-4; gpt_academic ships Docker support for self-hosted deployment; 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 ida-pro-mcp over gpt_academic?

Choose ida-pro-mcp over gpt_academic when License: ida-pro-mcp is MIT, gpt_academic is GPL-3.0; Tags unique to ida-pro-mcp: binary-analysis, mcp-server, modelcontextprotocol, ai; 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 ida-pro-mcp?

LLM Frameworks: Avoid a framework for a single prompt-and-retrieve call; the abstraction can cost more than it saves. 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.

### Is gpt_academic or ida-pro-mcp more popular on GitHub?

gpt_academic has more GitHub stars (71,056 vs 10,029). Stars measure visibility, not whether either tool fits your constraints.

### Are gpt_academic and ida-pro-mcp open source?

Yes - both are open-source projects on GitHub (gpt_academic: GPL-3.0, ida-pro-mcp: MIT).

### Where can I find alternatives to gpt_academic or ida-pro-mcp?

GraphCanon lists graph-backed alternatives at [gpt_academic alternatives](/tools/binary-husky-gpt-academic/alternatives) and [ida-pro-mcp alternatives](/tools/mrexodia-ida-pro-mcp/alternatives) ([gpt_academic markdown twin](/tools/binary-husky-gpt-academic/alternatives.md), [ida-pro-mcp markdown twin](/tools/mrexodia-ida-pro-mcp/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/binary-husky-gpt-academic-vs-mrexodia-ida-pro-mcp.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.

### Which is better maintained, gpt_academic or ida-pro-mcp?

gpt_academic: Slowing. ida-pro-mcp: 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 ida-pro-mcp?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [gpt_academic trust report](/tools/binary-husky-gpt-academic/trust); [ida-pro-mcp trust report](/tools/mrexodia-ida-pro-mcp/trust).

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=binary-husky-gpt-academic`](/api/graphcanon/graph?tool=binary-husky-gpt-academic)
- 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/_
