langchain-mcp-client
🦜🔗 LangChain Model Context Protocol (MCP) Client
Install / Use
claude mcp add datalayer -- npx -y github:datalayer/langchain-mcp-clientIf the server publishes to npm under a different name, use that package instead — check the repo README.
MCP Server
Model Context Protocol server
Quality Score
Category
Development & EngineeringSupported Platforms
Tags
Our assessment of langchain-mcp-client
langchain-mcp-client scores 73/100 on our quality scale, 3759th of 4,645 Development & Engineering skills we index.
Its MCP Server is 2.6 KB long, well organised into 8 sections with 4 code examples: a solid amount of guidance for an agent.
It has 10 GitHub stars, so there is little community track record yet; judge it on its content.
Maintenance, license and trust
- The repository was last updated 43 days ago, so langchain-mcp-client is actively maintained.
- Our last check on 2026-10-22 found the source still online.
- No license is declared. By default that means all rights are reserved: you can read it, but reusing or redistributing it is not clearly permitted. Ask the author before building on it commercially.
- Its trust signals score 80/100, with 2 cautions from licensing, adoption, age or documentation. These come from repository metadata, not a code audit — read the skill file before letting an agent act on it.
Safety scan
No issues foundOur scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful.
AI review by kimi-k2.7-code on 2026-09-24. Automated pattern scan on 2026-09-24. It catches known dangerous patterns, not every risk — read a skill before letting an agent act on it.
langchain-mcp-client compared with similar skills
All 4 of these similar skills score higher than langchain-mcp-client; compare them before choosing.
| Skill | Score | Stars | Updated | Format |
|---|---|---|---|---|
| langchain-mcp-client (this skill)by datalayer | 73 | 10 | 43d ago | MCP Server |
| taste-skillby Leonxlnx | 100 | 111.4k | 2d ago | CLAUDE.md |
| Agent-Reachby Panniantong | 100 | 109.8k | 1d ago | CLAUDE.md |
| headroomby headroomlabs-ai | 100 | 79.1k | today | CLAUDE.md |
| ai-job-searchby ai-job-search-dev | 100 | 70.2k | 2d ago | CLAUDE.md |
Frequently asked questions
- How do I install langchain-mcp-client?
- Run
claude mcp add datalayer -- npx -y github:datalayer/langchain-mcp-client. The install tabs above show the steps for each supported agent. - Which AI agents does langchain-mcp-client work with?
- It is written for Claude Code and Claude Desktop, as a MCP Server file. Other agents that read the same format can often use it too.
- Is langchain-mcp-client safe to use?
- Our scan of the whole file found no instruction hijacking, hidden characters, credential access, data exfiltration or destructive commands. An AI review of the same text found nothing harmful. It declares no license and scores 80/100 on trust signals. Skills are instructions an agent will follow, so read the file before installing it and do not approve commands you do not understand.
- Is langchain-mcp-client still maintained?
- The repository was last updated 43 days ago, so langchain-mcp-client is actively maintained.
Skill content
View source on GitHub
🦜 🔗 LangChain MCP Client
This simple Model Context Protocol (MCP) client demonstrates the use of MCP server tools by LangChain ReAct Agent.
- 🌐 Seamlessly connect to any MCP servers.
- 🤖 Use any LangChain-compatible LLM for flexible model selection.
- 💬 Interact via CLI, enabling dynamic conversations.
Conversion to LangChain Tools
It leverages a utility function convert_mcp_to_langchain_tools(). This function handles parallel initialization of specified multiple MCP servers and converts their available tools into a list of LangChain-compatible tools (List[BaseTool]).
Installation
The python version should be 3.11 or higher.
pip install langchain_mcp_client
Configuration
Create a .env file containing all the necessary API_KEYS to access your LLM.
Configure the LLM, MCP servers, and prompt example in the llm_mcp_config.json5 file:
- LLM Configuration: Set up your LLM parameters.
- MCP Servers: Specify the MCP servers to connect to.
- Example Queries: Define example queries that invoke MCP server tools. Press Enter to use these example queries when prompted.
Usage
Below an example with a Jupyter MCP Server:
Check the llm_mcp_config.json5 configuration (commands depends if you are running on Linux or macOS/Windows).
# Start jupyterlab.
make jupyterlab
# Launch the CLI.
make cli
This is a prompt example.
create matplolib examples with many variants in jupyter
Credits
This initial code of this repo is taken from hideya/mcp-client-langchain-py (MIT License) and from langchain_mcp_tools (MIT License).
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Languages
Trust signals
From repository metadata: license, adoption, age and documentation. Not a code audit — see the Safety scan above for what the skill file itself contains.