mcp-logseq vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
mcp-logseq by ergut | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 267 | ★ 85,748 |
| 30d uses | — | — |
| Score | 51 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphProductivityAI / LLM Tools | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 2 mo ago | this month |
mcp-logseq · Summary
An MCP server connecting Claude to LogSeq knowledge bases with read/write capabilities and optional vector search.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
mcp-logseq · Use cases
- Automate knowledge organization by creating summaries from recent notes and project updates
- Enhance research capabilities with cross-language semantic search across knowledge bases
- Streamline documentation workflows by generating meeting notes and task pages from existing content
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-logseq · Install
Step 1: Enable LogSeq API
- **Settings** → **Features** → Check "Enable HTTP APIs server"
- Click the **API button (🔌)** in LogSeq → **"Start server"**
- **Generate API token**: API panel → "Authorization tokens" → Create new
Step 2: Add to Claude (No Installation Required!)
Claude Desktop
Add to your config file (Settings → Developer → Edit Config):
{
"mcpServers": {
"mcp-logseq": {
"command": "uv",
"args": ["run", "--with", "mcp-logseq", "mcp-logseq"],
"env": {
"LOGSEQ_API_TOKEN": "your_token_here",
"LOGSEQ_API_URL": "http://localhost:12315"
}
}
}
}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.