teslamate-mcp vs filesystem

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

	teslamate-mcp by cobanov	filesystem by modelcontextprotocol
Stars	★ 127	★ 85,748
30d uses	—	—
Score	46	77
Official	—	✓
Categories	AI / LLM ToolsDatabaseDeveloper Tools	File SystemDeveloper ToolsProductivity
Language	Python	TypeScript
Last commit	6 mo ago	this month

teslamate-mcp · Summary

TeslaMate MCP server provides AI assistants with secure access to Tesla vehicle data through 18 predefined queries and custom SQL.

filesystem · Summary

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

teslamate-mcp · Use cases

Tesla owners can query their vehicle's battery health and efficiency trends through AI assistants
AI assistants can analyze driving patterns and provide efficiency optimization recommendations
Users can get custom vehicle analytics by executing specific SQL queries against their Tesla data

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

teslamate-mcp · Install

Local Setup (Cursor/Claude Desktop)

git clone https://github.com/cobanov/teslamate-mcp.git
cd teslamate-mcp
cp env.example .env
# Edit .env with your DATABASE_URL
uv sync

Configure your MCP client:

{
  "mcpServers": {
    "teslamate": {
      "command": "uv",
      "args": ["--directory", "/path/to/teslamate-mcp", "run", "main.py"]
    }
  }
}

Remote Setup (Docker)

git clone https://github.com/cobanov/teslamate-mcp.git
cd teslamate-mcp
cp env.example .env
# Edit .env with your DATABASE_URL
docker-compose up -d

Server available at: http://localhost:8888/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.