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@langchain/anthropic

Skill Development Solid
Works inClaude Code
Solid Scanned — metadata only

Enables JavaScript teams to build AI-powered applications using Claude models within the LangChain framework, reducing integration complexity and acceleratin…

Anthropic integrations for LangChain.js

17,976 starsMIT (commercial OK)FreeQuick setup

Enables JavaScript teams to build AI-powered applications using Claude models within the LangChain framework, reducing integration complexity and accelerating development of language model features.

Node.js and JavaScript developers building production AI applications requiring reliable Claude model integrations.

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https://www.npmjs.com/package/@langchain/anthropic

By GitHub Actions

How to Get It

Option 1: Claude Desktop App (Code Mode)Click the + button next to the prompt box → PluginsAdd plugin. Search and click Install. Skills work in Claude Code only.
Option 2: Paste into Claude CodeCopy the command below and paste it into your conversation. Claude will install it.
Command
npx @langchain/anthropic

Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.

Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.

First thing to try

After installing, paste this into Claude:

Help me build AI-powered Node.js applications that chain multiple Claude API calls together efficiently
CostFree

Trust Signals Auto-scanned

Stars17,976Last updated2026-07-21LicenseMIT (OK for commercial use)Weekly downloads1,072,706Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-07-23 · scanner v1

Community Pulse New

No community discussions found yet. This doesn't mean the tool isn't good — it may be new or serve a niche use case.

Reviewer notes

Auto-scanned review. These are observations, not a security certification.

Scored from trust signals (evidence-eval-v1): 17,976 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

Things to check

  • Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.

How to evaluate tools before deploying →

Data shown here comes from public APIs and automated scanning. Reviewer notes reflect one person's experience. This is not a security certification or legal recommendation. Always evaluate tools according to your own organization's policies.

Evaluation

Ease of Use
4/5
Versatility
5/5
Reliability
3/5
Security
3/5
Overall score3.85 / 5.00 SolidEvaluatedJul 2026
Scored from trust signals (evidence-eval-v1): 17,976 GitHub stars; contributors unknown; last commit 2d ago; license MIT.

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