--- title: "lazycodex vs mcpproxy-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/code-yeongyu-lazycodex-vs-smart-mcp-proxy-mcpproxy-go" tools: ["code-yeongyu-lazycodex", "smart-mcp-proxy-mcpproxy-go"] --- # lazycodex vs mcpproxy-go *GraphCanon updated Aug 11, 2026* ## Verdict Pick lazycodex if lazyCodex is an agent harness for AI-powered project memory and execution planning in complex codebases via AI agents like Codex; 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 UI. [lazycodex](https://lazycodex.ai) reports 3.2k GitHub stars, 198 forks, and 16 open issues, last pushed Aug 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 [lazycodex's repository](https://github.com/code-yeongyu/lazycodex) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go). | | [lazycodex](/tools/code-yeongyu-lazycodex.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Tagline | Agent harness for complex codebases with project memory and execution planning | Supercharge AI Agents, Safely | | Stars | 3,189 | 305 | | Forks | 198 | 43 | | Open issues | 16 | 15 | | Language | TypeScript | Go | | Adopt for | LazyCodex is an agent harness for AI-powered project memory and execution planning in complex codebases via AI agents like Codex. | 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 | MIT | | Categories | AI Agents, Developer Tools | AI Agents, Developer Tools | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [lazycodex](/tools/code-yeongyu-lazycodex.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Days since push | 1d | 0d | | Open issues (now) | 16 | 15 | | Owner type | User | Organization | | Full report | [trust report](/tools/code-yeongyu-lazycodex/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | ## Decision facts: lazycodex - **Adopt for:** LazyCodex is an agent harness for AI-powered project memory and execution planning in complex codebases via AI agents like Codex. ## 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 lazycodex if… - lazycodex is primarily TypeScript; mcpproxy-go is Go. - Tags unique to lazycodex: ai, ai-agents, claude-code, cli. - For developers managing large or complex projects where automated setup and installation through npx commands are beneficial ### Choose mcpproxy-go if… - mcpproxy-go is primarily Go; lazycodex is TypeScript. - 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 lazycodex - If you prefer not to rely on experimental features such as installing from a Codex marketplace, which may introduce additional setup complexity ## 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 lazycodex and mcpproxy-go? lazycodex: Agent harness for complex codebases with project memory and execution planning. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories. ### When should I choose lazycodex over mcpproxy-go? Choose lazycodex over mcpproxy-go when lazycodex is primarily TypeScript; mcpproxy-go is Go; Tags unique to lazycodex: ai, ai-agents, claude-code, cli; For developers managing large or complex projects where automated setup and installation through npx commands are beneficial. ### When should I choose mcpproxy-go over lazycodex? Choose mcpproxy-go over lazycodex when mcpproxy-go is primarily Go; lazycodex is TypeScript; 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 lazycodex? If you prefer not to rely on experimental features such as installing from a Codex marketplace, which may introduce additional setup complexity ### 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 lazycodex or mcpproxy-go more popular on GitHub? lazycodex has more GitHub stars (3,189 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are lazycodex and mcpproxy-go open source? Yes - both are open-source projects on GitHub (lazycodex: MIT, mcpproxy-go: MIT). ### Where can I find alternatives to lazycodex or mcpproxy-go? GraphCanon lists graph-backed alternatives at [lazycodex alternatives](/tools/code-yeongyu-lazycodex/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([lazycodex markdown twin](/tools/code-yeongyu-lazycodex/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/code-yeongyu-lazycodex-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, lazycodex or mcpproxy-go? lazycodex: Very active. 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 lazycodex and mcpproxy-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [lazycodex trust report](/tools/code-yeongyu-lazycodex/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=code-yeongyu-lazycodex`](/api/graphcanon/graph?tool=code-yeongyu-lazycodex) - 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/_