Comparison
awesome-mcp-servers vs jadx-ai-mcp
Verdict
Pick awesome-mcp-servers if awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration; pick jadx-ai-mcp if jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering.
Markdown twin · awesome-mcp-servers alternatives · jadx-ai-mcp alternatives
GraphCanon updated 3w
vs
Trust & integrity
| Signal | awesome-mcp-servers | jadx-ai-mcp |
|---|---|---|
| Maintenance | Very active (6d since push) As of 1mo · github_public_v1 | Steady (59d 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 lockfile (source not queried) 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
- jadx-ai-mcp
- Plugin for JADX to integrate MCP server
Stars
- awesome-mcp-servers
- 91k
- jadx-ai-mcp
- 2.6k
Forks
- awesome-mcp-servers
- 13k
- jadx-ai-mcp
- 232
Open issues
- awesome-mcp-servers
- 2.6k
- jadx-ai-mcp
- 9
Language
- awesome-mcp-servers
- -
- jadx-ai-mcp
- Java
Adopt for
- awesome-mcp-servers
- awesome-mcp-servers is a collection focused specifically on MCP servers with an emphasis on AI integration.
- jadx-ai-mcp
- jadx-ai-mcp is a Java-based plugin that extends JADX by integrating it with MCP servers to improve functionalities like AI-driven code analysis and reverse engineering.
Persona
- awesome-mcp-servers
- -
- jadx-ai-mcp
- -
Runtime
- awesome-mcp-servers
- -
- jadx-ai-mcp
- -
License
- awesome-mcp-servers
- MIT
- jadx-ai-mcp
- Apache-2.0
Last pushed
- awesome-mcp-servers
- Jul 4, 2026
- jadx-ai-mcp
- May 28, 2026
Categories
- awesome-mcp-servers
- Developer Tools
- jadx-ai-mcp
- Developer Tools, LLM Frameworks
Trust and health
Maintenance
- awesome-mcp-servers
- Very active (96%)
- jadx-ai-mcp
- Steady (60%)
Days since push
- awesome-mcp-servers
- 6d
- jadx-ai-mcp
- 59d
Open issues (now)
- awesome-mcp-servers
- 2.6k
- jadx-ai-mcp
- 9
Full report
- awesome-mcp-servers
- Trust report
- jadx-ai-mcp
- Trust report
Choose awesome-mcp-servers if…
- License: awesome-mcp-servers is MIT, jadx-ai-mcp is Apache-2.0.
- Tags unique to awesome-mcp-servers: 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 jadx-ai-mcp if…
- License: jadx-ai-mcp is Apache-2.0, awesome-mcp-servers is MIT.
- Tags unique to jadx-ai-mcp: java, llm, reverse-engineering.
- Also covers LLM Frameworks.
- Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP)
When NOT to use jadx-ai-mcp
- Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server
- Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities
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 (zinja-coder/jadx-ai-mcp) · observed Jul 27, 2026
- GitHub forks (zinja-coder/jadx-ai-mcp) · observed Jul 27, 2026
- Last push (zinja-coder/jadx-ai-mcp) · observed May 28, 2026
- License file (Apache-2.0) · observed Jul 27, 2026
- Decision facts (enrichment) · observed Jul 16, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
GitHub stars on cards: awesome-mcp-servers 91k · jadx-ai-mcp 2.6k (synced Jul 26, 2026).
Common questions
- What is the difference between awesome-mcp-servers and jadx-ai-mcp?
- awesome-mcp-servers: A collection of MCP servers. 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 awesome-mcp-servers over jadx-ai-mcp?
- Choose awesome-mcp-servers over jadx-ai-mcp when License: awesome-mcp-servers is MIT, jadx-ai-mcp is Apache-2.0; Tags unique to awesome-mcp-servers: 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 jadx-ai-mcp over awesome-mcp-servers?
- Choose jadx-ai-mcp over awesome-mcp-servers when License: jadx-ai-mcp is Apache-2.0, awesome-mcp-servers is MIT; Tags unique to jadx-ai-mcp: java, llm, reverse-engineering; Also covers LLM Frameworks; Use jadx-ai-mcp when you are working with JAVA applications requiring enhanced reverse engineering capabilities or AI-driven analysis specifically integrated through the Model Context Protocol (MCP).
- 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 jadx-ai-mcp?
- Avoid using jadx-ai-mcp if your development workflow does not involve JAVA or the use of an MCP server Do not opt for this plugin when your specific needs do not align with AI-driven analysis or reverse engineering tasks, as it is specifically tailored for these functionalities
- Is awesome-mcp-servers or jadx-ai-mcp more popular on GitHub?
- awesome-mcp-servers has more GitHub stars (90,602 vs 2,551). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-mcp-servers and jadx-ai-mcp open source?
- Yes - both are open-source projects on GitHub (awesome-mcp-servers: MIT, jadx-ai-mcp: Apache-2.0).
- Where can I find alternatives to awesome-mcp-servers or jadx-ai-mcp?
- GraphCanon lists graph-backed alternatives at awesome-mcp-servers alternatives and jadx-ai-mcp alternatives (awesome-mcp-servers 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, awesome-mcp-servers or jadx-ai-mcp?
- awesome-mcp-servers: 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 awesome-mcp-servers and jadx-ai-mcp?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-mcp-servers trust report; jadx-ai-mcp trust report.