--- title: "awesome-ai-sdks vs mcpproxy-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/e2b-dev-awesome-ai-sdks-vs-smart-mcp-proxy-mcpproxy-go" tools: ["e2b-dev-awesome-ai-sdks", "smart-mcp-proxy-mcpproxy-go"] --- # awesome-ai-sdks vs mcpproxy-go *GraphCanon updated Aug 21, 2026* ## 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 proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web. [awesome-ai-sdks](https://github.com/e2b-dev/awesome-ai-sdks) reports 1.2k GitHub stars, 361 forks, and 241 open issues, last pushed Jul 9, 2026. [mcpproxy-go](https://mcpproxy.app) has 305 stars, 43 forks, and 15 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [awesome-ai-sdks's repository](https://github.com/e2b-dev/awesome-ai-sdks) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go). | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Tagline | A database of SDKs for AI agents creation and management | Supercharge AI Agents, Safely | | Stars | 1,213 | 305 | | Forks | 361 | 43 | | Open issues | 241 | 15 | | Language | - | Go | | Adopt for | 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 is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI. | | Persona | - | - | | Runtime | - | - | | License | - | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [awesome-ai-sdks](/tools/e2b-dev-awesome-ai-sdks.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Maintenance | Steady (60%) | Very active (96%) | | Days since push | 42d | 0d | | Open issues (now) | 241 | 15 | | Stars delta | +6 (30d) | Unknown | | Open issues delta | +29 (30d) | Unknown | | Full report | [trust report](/tools/e2b-dev-awesome-ai-sdks/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | ## Decision facts: awesome-ai-sdks - **Adopt for:** awesome-ai-sdks offers an extensive directory of SDKs for AI agents, emphasizing its role in managing tools across different languages and ecosystems. ## Decision facts: mcpproxy-go - **Pricing:** freemium - mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs. - **Requirements:** Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use. - **Adopt for:** mcpproxy-go is a proxy server built for developers to enhance AI agents with functionality and security features through the Model Context Protocol (MCP). It supports tool routing, audit logging, and provides a web UI. ## Choose when ### Choose awesome-ai-sdks if… - Tags unique to awesome-ai-sdks: agent, ai-agents, framework, langchain. - 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 305) - visibility, not fit. ### Choose mcpproxy-go if… - Pricing: mcpproxy-go is free to use under the MIT license; however, premium support or advanced features may have associated costs.. - Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use.. - Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol. - mcpproxy-go ships Docker support for self-hosted deployment. - When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP. ## 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. ## When NOT to use mcpproxy-go - When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient. - If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities. ## 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, ai-agents, framework, langchain; 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 305) - 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 to use under the MIT license; however, premium support or advanced features may have associated costs.; Requirements: Min 2 GB RAM; The installation process varies by operating system and includes options for manual setup as well as automated installers for ease of use.; Tags unique to mcpproxy-go: audit-logging, context-window, local-first, model-context-protocol; mcpproxy-go ships Docker support for self-hosted deployment; When you need a Go-based solution that focuses specifically on enhancing AI functionalities using MCP. ### 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? When a simpler proxy solution that does not offer specialized AI-focused tools like MCP or advanced logging is sufficient. If your project is strictly frontend and does not require backend server enhancement features such as those provided by mcpproxy-go's tool-routing capabilities. ### Is awesome-ai-sdks or mcpproxy-go more popular on GitHub? awesome-ai-sdks has more GitHub stars (1,213 vs 305). 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](/tools/e2b-dev-awesome-ai-sdks/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([awesome-ai-sdks markdown twin](/tools/e2b-dev-awesome-ai-sdks/alternatives.md), [mcpproxy-go markdown twin](/tools/smart-mcp-proxy-mcpproxy-go/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/e2b-dev-awesome-ai-sdks-vs-smart-mcp-proxy-mcpproxy-go.md) 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](/tools/e2b-dev-awesome-ai-sdks/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks`](/api/graphcanon/graph?tool=e2b-dev-awesome-ai-sdks) - 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/_