BrowseFull catalogOutcomesSolve a specific problemRolesStack by teamTrustFilter by risk tier
← Back to the Claude Observatory

langchain-mcp-tools-py

Connector Development Usable
Works inClaude Code Claude Cowork Claude Chat
Usable Scanned — metadata only

Enables seamless integration of Model Context Protocol servers into existing LangChain workflows, preventing vendor lock-in and expanding the functional capa…

MCP to LangChain Tools Conversion Utility / Python

29 starsMIT (commercial OK)FreeNo code needed
Usable rating — This tool is functional but has notable gaps. Review the evaluation notes below before deploying.

Enables seamless integration of Model Context Protocol servers into existing LangChain workflows, preventing vendor lock-in and expanding the functional capabilities of agentic frameworks without manual tool re-implementation.

AI engineers building agentic workflows that require interoperability between MCP-compliant services and LangChain ecosystems.

Claude Code Claude Cowork Claude Chat

https://github.com/hideya/langchain-mcp-tools-py

By hideya

How to Get It

Option 1: Claude Desktop AppOpen the Customize panel in the sidebar → browse connectors → search and add. Works in Claude Code, Claude Cowork, and Claude Chat.
Option 2: Paste into Claude CodeCopy the command below and paste it into a Claude Code conversation. Claude will run it for you.
Command
claude mcp add langchain-mcp-tools-py -- npx -y langchain-mcp-tools-py

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

Once it’s connected, paste this into Claude:

Help me convert Model Context Protocol servers into LangChain compatible tools
CostFree

Trust Signals Auto-scanned

Stars29Last updated2026-10-23LicenseMIT (OK for commercial use)Known CVEsNone foundSources: GitHub Advisory Database + OSV.dev · Scanned 2026-10-23 · scanner v1

Data & Access

Data processingPrompts sent to Anthropic API. Enterprise/Team plans exclude training.

Community Pulse Quiet

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): 29 GitHub stars; contributors unknown; last commit 0d 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
3/5
Versatility
2/5
Reliability
3/5
Security
3/5
Overall score2.75 / 5.00 UsableEvaluatedOct 2026
Scored from trust signals (evidence-eval-v1): 29 GitHub stars; contributors unknown; last commit 0d ago; license MIT.

← Back to the Claude Observatory

Rolling Claude out in your org? Let's talk.

Start a conversation →