langchain-mcp-server vs filesystem

Side-by-side comparison to help you pick between these two MCP servers.

	langchain-mcp-server by LiteObject	filesystem by modelcontextprotocol
Stars	★ 1	★ 85,748
30d uses	—	—
Score	33	77
Official	—	✓
Categories	AI / LLM ToolsDeveloper Toolsdocumentation	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

langchain-mcp-server · Summary

Dual-mode MCP server providing live LangChain documentation, API references, and code examples from official sources.

filesystem · Summary

A feature-rich MCP server for filesystem operations with dynamic directory access control.

langchain-mcp-server · Use cases

LangChain developers needing quick reference to documentation and API while working
AI assistants integrated with LangChain requiring up-to-date documentation access
Educational platforms teaching LangChain with real-time examples and references

filesystem · Use cases

Enable AI models to read and write project files during development
Allow Claude or other MCP clients to browse and analyze codebases
Provide secure sandboxed access to specific directories for content generation

langchain-mcp-server · Install

Installation

Using Docker (Recommended)

git clone https://github.com/LiteObject/langchain-mcp-server.git
cd langchain-mcp-server
docker-compose up --build

Local Development

pip install -r requirements.txt
python run.py mcp

Claude Desktop Configuration

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "langchain-docs": {
      "command": "python",
      "args": ["path/to/langchain-mcp-server/run.py", "mcp"],
      "env": {
        "PYTHONPATH": "path/to/langchain-mcp-server"
      }
    }
  }
}

filesystem · Install

Installation

Using NPX

{
  "mcpServers": {
    "filesystem": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-filesystem",
        "/path/to/allowed/directory"
      ]
    }
  }
}

Using Docker

{
  "mcpServers": {
    "filesystem": {
      "command": "docker",
      "args": [
        "run",
        "-i",
        "--rm",
        "--mount", "type=bind,src=/path/to/allowed/dir,dst=/projects/allowed/dir",
        "mcp/filesystem",
        "/projects"
      ]
    }
  }
}

VS Code Extension

Click the installation buttons in the README to install directly in VS Code.

Comparison generated from public README + GitHub signals. Last updated automatically.