kakuyomu-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
kakuyomu-mcp by 106- | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 2 | ★ 85,748 |
| 30d uses | — | — |
| Score | 34 | 77 |
| Official | — | ✓ |
| Categories | Web ScrapingMediaProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 8 mo ago | this month |
kakuyomu-mcp · Summary
An MCP server for accessing Japanese novel content from Kakuyomu, offering search, episode listing, and content retrieval tools.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
kakuyomu-mcp · Use cases
- Automatically summarize recent novels from Kakuyomu's top page
- Analyze the writing style and plot patterns of a specific author
- Cross-reference novel metadata across different Japanese platforms
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
kakuyomu-mcp · Install
Docker Installation (Recommended)
docker pull ubiq/kakuyomu-mcp:latestPython Installation
git clone https://github.com/106-/kakuyomu-mcp.git
cd kakuyomu-mcp
poetry installClaude Desktop Configuration
Add to your claude_desktop_config.json:
{
"mcpServers": {
"kakuyomu_mcp": {
"type": "stdio",
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"ubiq/kakuyomu-mcp:latest"
],
"env": {}
}
}
}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.