mcp-streamable-http vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-streamable-http by invariantlabs-ai | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 129 | ★ 85,748 |
| 30d uses | — | — |
| Score | 42 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsCommunication | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 12 mo ago | this month |
mcp-streamable-http · Summary
Python and TypeScript MCP server examples implementing Streamable HTTP protocol for cross-language communication.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-streamable-http · Use cases
- Building cross-language MCP server implementations
- Creating HTTP-based MCP transport layer
- Developing weather information MCP services
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-streamable-http · Install
Installation
Python Example
git clone https://github.com/invariantlabs-ai/mcp-streamable-http.git
cd python-example/server
pip install .
python weather.pyTypeScript Example
cd typescript-example/server
npm install && npm run build
node build/index.jsClaude Desktop Integration
Add to Claude Desktop config.json:
"mcpServers": {
"streamable-http": {
"command": "node",
"args": ["/path/to/build/index.js"],
"env": {
"PORT": "8123"
}
}
}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.