llmwiki vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
llmwiki by lucasastorian | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 908 | ★ 85,748 |
| 30d uses | — | — |
| Score | 52 | 77 |
| Official | — | ✓ |
| Categories | AI / LLM ToolsKnowledge GraphProductivity | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | this month | this month |
llmwiki · Summary
LLM Wiki is an MCP server that indexes local documents and enables Claude to build and maintain a knowledge wiki.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
llmwiki · Use cases
- Academic research management and literature review synthesis
- Personal knowledge base building and concept mapping
- Automated documentation generation for project repositories
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
llmwiki · Install
# Clone and setup
git clone https://github.com/lucasastorian/llmwiki.git
cd llmwiki
cd api && python -m venv .venv && source .venv/bin/activate && pip install -r requirements.txt
cd .. && cd web && npm install && cd ..
# Initialize workspace
./llmwiki init ~/research
# Start servers
./llmwiki serve ~/research
# Generate Claude Desktop config
./llmwiki mcp-config ~/researchAdd the following to your claude_desktop_config.json:
{
"mcpServers": {
"llmwiki-research": {
"command": "python",
"args": ["-m", "llmwiki", "mcp", "~/research"]
}
}
}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.