atlas-mcp-server vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
atlas-mcp-server by cyanheads | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 475 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Knowledge GraphProductivityDeveloper Tools | File SystemDeveloper ToolsProductivity |
| Language | TypeScript | TypeScript |
| Last commit | 10 mo ago | this month |
atlas-mcp-server · Summary
A Neo4j-powered MCP server implementing three-tier project/task/knowledge management for LLM agents with deep research capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
atlas-mcp-server · Use cases
- Managing complex multi-agent workflows with project, task, and knowledge components
- Research and development teams tracking project dependencies and knowledge bases
- LLM applications that need structured task management with relationship tracking
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
atlas-mcp-server · Install
Installation
- Clone the repository:
git clone https://github.com/cyanheads/atlas-mcp-server.git
cd atlas-mcp-server- Install dependencies:
npm install- Configure Neo4j (start with Docker):
docker-compose up -dUpdate .env with Neo4j connection details.
- Build the project:
npm run buildClaude Desktop Configuration
Add to claude_desktop_config.json:
{
"mcpServers": {
"atlas": {
"command": "node",
"args": ["dist/index.js"],
"env": {
"NEO4J_URI": "bolt://localhost:7687",
"NEO4J_USER": "neo4j",
"NEO4J_PASSWORD": "yourpassword"
}
}
}
}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.