Home/Compare/langchainjs vs mcpproxy-go

Comparison

langchainjs vs mcpproxy-go

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.

Markdown twin · langchainjs alternatives · mcpproxy-go alternatives

GraphCanon updated 2w

langchainjs logo

langchainjs

langchain-ai/langchainjs

18kpushed Aug 7, 2026
vs
mcpproxy-go logo

mcpproxy-go

smart-mcp-proxy/mcpproxy-go

305pushed Aug 2, 2026

Trust & integrity

Signallangchainjsmcpproxy-go
Maintenance
Very active (0d since push)
As of 2w · github_public_v1
Very active (0d since push)
As of 3w · github_public_v1
Provenance
Not a fork · Organization account
As of 2w · github_public_v1
Not a fork · Organization account
As of 3w · github_public_v1
OSV dependency advisories
No lockfile (source not queried)
As of 1mo · osv@v1
No published findings from this source as of 2026-07-11
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

langchainjs
The agent engineering platform
mcpproxy-go
Supercharge AI Agents, Safely

Stars

langchainjs
18k
mcpproxy-go
305

Forks

langchainjs
3.3k
mcpproxy-go
43

Open issues

langchainjs
475
mcpproxy-go
15

Language

langchainjs
TypeScript
mcpproxy-go
Go

Adopt for

langchainjs
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
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

langchainjs
-
mcpproxy-go
-

Runtime

langchainjs
-
mcpproxy-go
-

License

langchainjs
MIT
mcpproxy-go
MIT

Last pushed

langchainjs
Aug 7, 2026
mcpproxy-go
Aug 2, 2026

Categories

langchainjs
AI Agents, Developer Tools
mcpproxy-go
AI Agents, Developer Tools

Trust and health

Open issues (now)

langchainjs
475
mcpproxy-go
15

OSV dependency advisories

langchainjs
No lockfile (source not queried)
mcpproxy-go
No published findings from this source as of 2026-07-11

Full report

langchainjs
Trust report
mcpproxy-go
Trust report

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.

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

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 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.

Explore

Sources

Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.

GitHub stars on cards: langchainjs 18k · mcpproxy-go 305 (synced Aug 8, 2026).

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 and mcpproxy-go alternatives (langchainjs 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, 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; mcpproxy-go trust report.

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