--- title: "langchainjs vs mcpproxy-go" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/langchain-ai-langchainjs-vs-smart-mcp-proxy-mcpproxy-go" tools: ["langchain-ai-langchainjs", "smart-mcp-proxy-mcpproxy-go"] --- # langchainjs vs mcpproxy-go *GraphCanon updated Aug 8, 2026* ## Verdict Pick langchainjs if langChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers; 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. [langchainjs](https://docs.langchain.com/langchain/) reports 18k GitHub stars, 3.3k forks, and 475 open issues, last pushed Aug 7, 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 [langchainjs's repository](https://github.com/langchain-ai/langchainjs) and [mcpproxy-go's repository](https://github.com/smart-mcp-proxy/mcpproxy-go). | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Tagline | The agent engineering platform | Supercharge AI Agents, Safely | | Stars | 18,020 | 305 | | Forks | 3,298 | 43 | | Open issues | 475 | 15 | | Language | TypeScript | Go | | Adopt for | LangChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers. | 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._ | | [langchainjs](/tools/langchain-ai-langchainjs.md) | [mcpproxy-go](/tools/smart-mcp-proxy-mcpproxy-go.md) | | --- | --- | --- | | Open issues (now) | 475 | 15 | | Full report | [trust report](/tools/langchain-ai-langchainjs/trust.md) | [trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust.md) | ## Decision facts: langchainjs - **Adopt for:** LangChain.js is a TypeScript-based tool designed for building AI agents. It simplifies the development process with its specific focus and ease of installation via popular package managers. ## 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 langchainjs if… - langchainjs is primarily TypeScript; mcpproxy-go is Go. - Tags unique to langchainjs: typescript. - - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### Choose mcpproxy-go if… - mcpproxy-go is primarily Go; langchainjs 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 langchainjs - - When the project or team lacks experience with TypeScript. Since LangChain.js is built on TypeScript, leveraging its full potential might be challenging without proficiency in this language. - - In scenarios requiring minimal dependencies where a lightweight setup is necessary. LangChain.js relies on specific installation methods and may not fit environments that restrict the use of package - managers like npm or yarn ## 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 langchainjs and mcpproxy-go? langchainjs: The agent engineering platform. mcpproxy-go: Supercharge AI Agents, Safely. See the comparison table for live GitHub stats and shared categories. ### When should I choose langchainjs over mcpproxy-go? Choose langchainjs over mcpproxy-go when langchainjs is primarily TypeScript; mcpproxy-go is Go; Tags unique to langchainjs: typescript; - You are working specifically with TypeScript projects, as LangChain.js leverages TypeScript's strong typing to enhance agent-building quality. ### When should I choose mcpproxy-go over langchainjs? Choose mcpproxy-go over langchainjs when mcpproxy-go is primarily Go; langchainjs 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 langchainjs? - When the project or team lacks experience with TypeScript. Since LangChain.js is built on TypeScript, leveraging its full potential might be challenging without proficiency in this language. - In scenarios requiring minimal dependencies where a lightweight setup is necessary. LangChain.js relies on specific installation methods and may not fit environments that restrict the use of package managers like npm or yarn ### 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 langchainjs or mcpproxy-go more popular on GitHub? langchainjs has more GitHub stars (18,020 vs 305). Stars measure visibility, not whether either tool fits your constraints. ### Are langchainjs and mcpproxy-go open source? Yes - both are open-source projects on GitHub (langchainjs: MIT, mcpproxy-go: MIT). ### Where can I find alternatives to langchainjs or mcpproxy-go? GraphCanon lists graph-backed alternatives at [langchainjs alternatives](/tools/langchain-ai-langchainjs/alternatives) and [mcpproxy-go alternatives](/tools/smart-mcp-proxy-mcpproxy-go/alternatives) ([langchainjs markdown twin](/tools/langchain-ai-langchainjs/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/langchain-ai-langchainjs-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, langchainjs or mcpproxy-go? langchainjs: 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 langchainjs and mcpproxy-go? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [langchainjs trust report](/tools/langchain-ai-langchainjs/trust); [mcpproxy-go trust report](/tools/smart-mcp-proxy-mcpproxy-go/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=langchain-ai-langchainjs`](/api/graphcanon/graph?tool=langchain-ai-langchainjs) - 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/_