Comparison
context7 vs jadx-ai-mcp
Verdict
Pick context7 when context7 is primarily TypeScript; jadx-ai-mcp is Java; pick jadx-ai-mcp when jadx-ai-mcp is primarily Java; context7 is TypeScript.
Markdown twin · context7 alternatives · jadx-ai-mcp alternatives
GraphCanon updated today
vs
Trust & integrity
| Signal | context7 | jadx-ai-mcp |
|---|---|---|
| Maintenance | Very active (0d since push) As of today · github_public_v1 | Steady (43d since push) As of today · github_public_v1 |
| Provenance | Not a fork · Organization account As of today · github_public_v1 | Not a fork · Personal account As of today · github_public_v1 |
| Security (OSV) | No MCP manifest As of today · mcp_manifest | No MCP manifest As of today · mcp_manifest |
Tagline
- context7
- Up-to-date code documentation for LLMs and AI code editors
- jadx-ai-mcp
- Plugin for JADX to integrate MCP server
Stars
- context7
- 59k
- jadx-ai-mcp
- 2.5k
Forks
- context7
- 2.8k
- jadx-ai-mcp
- 232
Open issues
- context7
- 28
- jadx-ai-mcp
- 8
Language
- context7
- TypeScript
- jadx-ai-mcp
- Java
Adopt for
- context7
- Context7 is a platform devoted to providing updated code documentation specifically tailored for LLMs (Large Language Models) and AI-based code editing tools. It uses TypeScript and operates under the MIT license.
- jadx-ai-mcp
- -
Persona
- context7
- -
- jadx-ai-mcp
- -
Runtime
- context7
- -
- jadx-ai-mcp
- -
License
- context7
- MIT
- jadx-ai-mcp
- Apache-2.0
Last pushed
- context7
- Jul 10, 2026
- jadx-ai-mcp
- May 28, 2026
Categories
- context7
- Developer Tools, LLM Frameworks
- jadx-ai-mcp
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- context7
- Very active (96%)
- jadx-ai-mcp
- Steady (60%)
Days since push
- context7
- 0d
- jadx-ai-mcp
- 43d
Open issues (now)
- context7
- 28
- jadx-ai-mcp
- 8
Owner type
- context7
- Organization
- jadx-ai-mcp
- User
Full report
- context7
- Trust report
- jadx-ai-mcp
- Trust report
Choose context7 if…
- context7 is primarily TypeScript; jadx-ai-mcp is Java.
- License: context7 is MIT, jadx-ai-mcp is Apache-2.0.
- Tags unique to context7: vibe-coding.
- When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency.
When NOT to use context7
- Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages.
- If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be更
Choose jadx-ai-mcp if…
- jadx-ai-mcp is primarily Java; context7 is TypeScript.
- License: jadx-ai-mcp is Apache-2.0, context7 is MIT.
- Tags unique to jadx-ai-mcp: ai, java, mcp-servers, mobile.
When NOT to use jadx-ai-mcp
- 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 (upstash/context7) · observed Jul 11, 2026
- GitHub forks (upstash/context7) · observed Jul 11, 2026
- Last push (upstash/context7) · observed Jul 10, 2026
- License file (MIT) · observed Jul 11, 2026
- Decision facts (enrichment) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zinja-coder/jadx-ai-mcp) · observed Jul 11, 2026
- GitHub forks (zinja-coder/jadx-ai-mcp) · observed Jul 11, 2026
- Last push (zinja-coder/jadx-ai-mcp) · observed May 28, 2026
- License file (Apache-2.0) · observed Jul 11, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: context7 59k · jadx-ai-mcp 2.5k (synced Jul 11, 2026).
Common questions
- What is the difference between context7 and jadx-ai-mcp?
- context7: Up-to-date code documentation for LLMs and AI code editors. jadx-ai-mcp: Plugin for JADX to integrate MCP server. See the comparison table for live GitHub stats and shared categories.
- When should I choose context7 over jadx-ai-mcp?
- Choose context7 over jadx-ai-mcp when context7 is primarily TypeScript; jadx-ai-mcp is Java; License: context7 is MIT, jadx-ai-mcp is Apache-2.0; Tags unique to context7: vibe-coding; When your project heavily relies on Large Language Models or AI-based code editors for enhancing development efficiency.
- When should I choose jadx-ai-mcp over context7?
- Choose jadx-ai-mcp over context7 when jadx-ai-mcp is primarily Java; context7 is TypeScript; License: jadx-ai-mcp is Apache-2.0, context7 is MIT; Tags unique to jadx-ai-mcp: ai, java, mcp-servers, mobile.
- When should I avoid context7?
- Avoid Context7 if your current project doesn't involve integration with Large Language Models or any AI-driven code editing utilities, as it will not offer significant advantages. If your team strictly adheres to a development workflow that does not benefit from having real-time documentation tailored for LLMs and AI code editors, opting for more general developer tools may be更
- When should I avoid jadx-ai-mcp?
- 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 context7 or jadx-ai-mcp more popular on GitHub?
- context7 has more GitHub stars (58,913 vs 2,463). Stars measure visibility, not whether either tool fits your constraints.
- Are context7 and jadx-ai-mcp open source?
- Yes - both are open-source projects on GitHub (context7: MIT, jadx-ai-mcp: Apache-2.0).
- Where can I find alternatives to context7 or jadx-ai-mcp?
- GraphCanon lists graph-backed alternatives at context7 alternatives and jadx-ai-mcp alternatives (context7 markdown twin, jadx-ai-mcp 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, context7 or jadx-ai-mcp?
- context7: Very active. jadx-ai-mcp: Steady. 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 context7 and jadx-ai-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: context7 trust report; jadx-ai-mcp trust report.