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filesystem vs beanquery-mcp

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

filesystem
by modelcontextprotocol
beanquery-mcp
by vanto
Stars★ 85,748★ 46
30d uses
Score7736
Official
Categories
File SystemDeveloper ToolsProductivity
FinanceAI / LLM ToolsDeveloper Tools
LanguageTypeScriptPython
Last committhis month14 mo ago

filesystem · Summary

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

beanquery-mcp · Summary

Experimental MCP server for AI assistants to query Beancount financial ledgers using BQL.

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

beanquery-mcp · Use cases

  • AI assistants analyzing personal finance patterns from Beancount ledgers
  • Automated financial report generation using BQL queries
  • Integration of financial data with other AI-powered productivity tools

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.

beanquery-mcp · Install

Installation

Prerequisites

  • Python 3.10 or later
  • [uv](https://docs.astral.sh/uv/) for managing Python projects

Running the Server

**Development Mode:**

mcp dev server.py

**Claude Desktop Integration:**

uv run mcp install server.py --with beancount --with beanquery

With environment variable:

uv run mcp install server.py -v BEANCOUNT_LEDGER=/path/to/your/ledger.bean --with beancount --with beanquery

In Claude Desktop configuration:

{
  "mcpServers": {
    "beancount": {
      "command": "uv",
      "args": ["run", "mcp", "install", "server.py"],
      "env": {
        "BEANCOUNT_LEDGER": "/path/to/your/ledger.bean"
      }
    }
  }
}
Comparison generated from public README + GitHub signals. Last updated automatically.