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mcp-server-langfuse vs filesystem

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

mcp-server-langfuse
by langfuse
filesystem
by modelcontextprotocol
Stars★ 167★ 85,748
30d uses
Score4277
Official
Categories
AI / LLM ToolsDeveloper ToolsProductivity
File SystemDeveloper ToolsProductivity
LanguageTypeScriptTypeScript
Last commit15 mo agothis month

mcp-server-langfuse · Summary

MCP server for accessing and managing Langfuse prompts through the Model Context Protocol.

filesystem · Summary

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

mcp-server-langfuse · Use cases

  • Integrating Langfuse prompt management with AI assistants that support MCP
  • Accessing and deploying production prompts across different applications through MCP
  • Automating prompt management workflows using MCP tool calling

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

mcp-server-langfuse · Install

Install steps:

  1. Build the server:
npm install
npm run build
  1. Add to Claude Desktop by editing claude_desktop_config.json:
{
  "mcpServers": {
    "langfuse": {
      "command": "node",
      "args": ["<absolute-path>/build/index.js"],
      "env": {
        "LANGFUSE_PUBLIC_KEY": "your-public-key",
        "LANGFUSE_SECRET_KEY": "your-secret-key",
        "LANGFUSE_BASEURL": "https://cloud.langfuse.com"
      }
    }
  }
}

Replace environment variables with your actual Langfuse API keys.

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.