bzm-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
bzm-mcp by Blazemeter | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 25 | ★ 85,748 |
| 30d uses | — | — |
| Score | 44 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsMonitoringOps & Infra | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
bzm-mcp · Summary
BlazeMeter MCP server enables AI-driven performance testing via natural language commands.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
bzm-mcp · Use cases
- Automating load test creation and execution through AI assistants
- Generating performance test reports via natural language requests
- Managing BlazeMeter test infrastructure programmatically using AI agents
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
bzm-mcp · Install
Installation Options
**Binary Installation (Recommended)**
- Download the binary for your OS from [Releases](https://github.com/BlazeMeter/bzm-mcp/releases)
- Place the binary in the same folder as your
api-keys.jsonfile - Run the binary to launch the interactive configuration tool
**Source Code Installation with uv**
{
"mcpServers": {
"BlazeMeter MCP": {
"command": "uvx",
"args": [
"--from", "git+https://github.com/BlazeMeter/bzm-mcp.git@v1.0.1",
"-q", "bzm-mcp", "--mcp"
],
"env": {
"BLAZEMETER_API_KEY": "/path/to/your/api-key.json"
}
}
}
}**Docker Installation**
{
"mcpServers": {
"BlazeMeter MCP": {
"command": "docker",
"args": [
"run",
"--pull=always",
"--rm",
"-i",
"-e", "API_KEY_ID=your_api_key_id",
"-e", "API_KEY_SECRET=your_api_key_secret",
"ghcr.io/blazemeter/bzm-mcp:latest"
]
}
}
}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.