Comparison
awesome-ai-sdks vs mcpproxy-go
Verdict
Pick awesome-ai-sdks if awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems; pick mcpproxy-go if mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI.
Markdown twin · awesome-ai-sdks alternatives · mcpproxy-go alternatives
GraphCanon updated Sep 20, 2026
11views this month
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Trust & integrity
| Signal | awesome-ai-sdks | mcpproxy-go |
|---|---|---|
| Maintenance | Steady (72d since push) As of Sep 20, 2026 · github_public_v1 | Very active (0d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · 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-ai-sdks
- A database of SDKs for AI agents creation and management
- mcpproxy-go
- Supercharge AI Agents, Safely
Stars
- awesome-ai-sdks
- 1.2k
- mcpproxy-go
- 375
Forks
- awesome-ai-sdks
- 399
- mcpproxy-go
- 50
Open issues
- awesome-ai-sdks
- 271
- mcpproxy-go
- 25
Language
- awesome-ai-sdks
- -
- mcpproxy-go
- Go
Adopt for
- awesome-ai-sdks
- awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems.
- mcpproxy-go
- mcpproxy-go is a Go-based proxy server designed to manage and secure AI agents, featuring audit logging, tool routing, and a web UI.
Persona
- awesome-ai-sdks
- -
- mcpproxy-go
- -
Runtime
- awesome-ai-sdks
- -
- mcpproxy-go
- -
License
- awesome-ai-sdks
- -
- mcpproxy-go
- mcpproxy-go is distributed under the MIT License, allowing for free use, modification, and distribution.
Last pushed
- awesome-ai-sdks
- Jul 9, 2026
- mcpproxy-go
- Sep 18, 2026
Categories
- awesome-ai-sdks
- AI Agents, Developer Tools
- mcpproxy-go
- AI Agents, Developer Tools
Trust and health
Maintenance
- awesome-ai-sdks
- Steady (60%)
- mcpproxy-go
- Very active (96%)
Days since push
- awesome-ai-sdks
- 72d
- mcpproxy-go
- 0d
Open issues (now)
- awesome-ai-sdks
- 271
- mcpproxy-go
- 25
Stars delta
- awesome-ai-sdks
- +10 (30d)
- mcpproxy-go
- +70 (30d)
Open issues delta
- awesome-ai-sdks
- +30 (30d)
- mcpproxy-go
- +10 (30d)
OSV dependency advisories
- awesome-ai-sdks
- No lockfile (source not queried)
- mcpproxy-go
- No published findings from this source as of 2026-09-18
Full report
- awesome-ai-sdks
- Trust report
- mcpproxy-go
- Trust report
Choose awesome-ai-sdks if…
- Tags unique to awesome-ai-sdks: agent, framework, langchain, llmops.
- When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource.
- More GitHub stars (1.2k vs 375) - visibility, not fit.
When NOT to use awesome-ai-sdks
- For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive.
- If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.
Choose mcpproxy-go if…
- Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee..
- Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS..
- Tags unique to mcpproxy-go: audit-logging, llm-tools, local-first, proxy-server.
- mcpproxy-go ships Docker support for self-hosted deployment.
- Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind.
When NOT to use mcpproxy-go
- Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments.
- Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (e2b-dev/awesome-ai-sdks) · observed Sep 20, 2026
- GitHub forks (e2b-dev/awesome-ai-sdks) · observed Sep 20, 2026
- Last push (e2b-dev/awesome-ai-sdks) · observed Jul 9, 2026
- License file (unknown) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 14, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (smart-mcp-proxy/mcpproxy-go) · observed Sep 20, 2026
- GitHub forks (smart-mcp-proxy/mcpproxy-go) · observed Sep 20, 2026
- Last push (smart-mcp-proxy/mcpproxy-go) · observed Sep 18, 2026
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: awesome-ai-sdks 1.2k · mcpproxy-go 375 (synced Sep 20, 2026).
Common questions
- What is the difference between awesome-ai-sdks and mcpproxy-go?
- awesome-ai-sdks: A database of SDKs for AI agents creation and management. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories.
- When should I choose awesome-ai-sdks over mcpproxy-go?
- Choose awesome-ai-sdks over mcpproxy-go when Tags unique to awesome-ai-sdks: agent, framework, langchain, llmops; When you are looking to compile and access various SDKs and libraries for AI agent development from one centralized resource; More GitHub stars (1.2k vs 375) - visibility, not fit.
- When should I choose mcpproxy-go over awesome-ai-sdks?
- Choose mcpproxy-go over awesome-ai-sdks when Pricing: mcpproxy-go is free and open-source, but additional services or support might be available for a fee.; Requirements: Min 1 GB RAM; mcpproxy-go can be installed on macOS and Windows using provided installers or via Homebrew on macOS.; Tags unique to mcpproxy-go: audit-logging, llm-tools, local-first, proxy-server; mcpproxy-go ships Docker support for self-hosted deployment; Use mcpproxy-go when you need a proxy server that supports audit logging and tool routing specifically for AI agents, as it is designed with these functionalities in mind.
- When should I avoid awesome-ai-sdks?
- For projects requiring a real-time or regularly updated list since the repository acknowledges it's based on their best knowledge and might not be comprehensive. If you specifically need production-ready tools. The repository contains links to alpha-stage projects like Chidori, which may not be suitable for immediate deployment.
- When should I avoid mcpproxy-go?
- Avoid mcpproxy-go if your project requires a proxy server that supports a wide range of languages beyond Go, as it is specifically built for Go environments. Do not use mcpproxy-go if you need a proxy server that does not have a local-first deployment model, as it prioritizes local management and security over cloud-based solutions.
- Is awesome-ai-sdks or mcpproxy-go more popular on GitHub?
- awesome-ai-sdks has more GitHub stars (1,223 vs 375). Stars measure visibility, not whether either tool fits your constraints.
- Are awesome-ai-sdks and mcpproxy-go open source?
- Yes - both are open-source projects on GitHub.
- Where can I find alternatives to awesome-ai-sdks or mcpproxy-go?
- GraphCanon lists graph-backed alternatives at awesome-ai-sdks alternatives and mcpproxy-go alternatives (awesome-ai-sdks 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, awesome-ai-sdks or mcpproxy-go?
- awesome-ai-sdks: Steady. 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 awesome-ai-sdks and mcpproxy-go?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: awesome-ai-sdks trust report; mcpproxy-go trust report.