langfuse-mcp vs filesystem

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

	langfuse-mcp by avivsinai	filesystem by modelcontextprotocol
Stars	★ 87	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	AI / LLM ToolsMonitoringDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	this month	this month

langfuse-mcp · Summary

Langfuse MCP server for AI agents to query trace data, debug exceptions, and manage observability.

filesystem · Summary

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

langfuse-mcp · Use cases

Debugging failing agent runs by inspecting Langfuse traces and exception details
Analyzing slow generations and high-latency spans in production
Managing prompt versions, labels and datasets directly from AI workflows

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

langfuse-mcp · Install

Installation

**Using Claude Desktop (via project .mcp.json)**

{
  "mcpServers": {
    "langfuse": {
      "command": "uvx",
      "args": ["langfuse-mcp"],
      "env": {
        "LANGFUSE_PUBLIC_KEY": "pk-...",
        "LANGFUSE_SECRET_KEY": "sk-...",
        "LANGFUSE_HOST": "https://cloud.langfuse.com"
      }
    }
  }
}

**Using CLI**

# Claude Code
code mcp add \
  -e LANGFUSE_PUBLIC_KEY=pk-... \
  -e LANGFUSE_SECRET_KEY=sk-... \
  -e LANGFUSE_HOST=https://cloud.langfuse.com \
  langfuse -- uvx langfuse-mcp

# Codex CLI
codex mcp add langfuse \
  --env LANGFUSE_PUBLIC_KEY=pk-... \
  --env LANGFUSE_SECRET_KEY=sk-... \
  --env LANGFUSE_HOST=https://cloud.langfuse.com \
  -- uvx langfuse-mcp

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.