task-orchestrator vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
task-orchestrator by jpicklyk | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 183 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | Developer ToolsAI / LLM ToolsProductivity | File SystemDeveloper ToolsProductivity |
| Language | Kotlin | TypeScript |
| Last commit | this month | this month |
task-orchestrator · Summary
MCP server providing server-enforced workflow discipline for AI agents with persistent work items, dependency graphs, and actor attribution.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
task-orchestrator · Use cases
- Managing complex multi-agent AI development workflows
- Enforcing documentation requirements before implementation
- Tracking which AI agent made which changes across sessions
- Validating dependency ordering in complex projects
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
task-orchestrator · Install
Installation with Docker
# Pull the latest image
docker pull ghcr.io/jpicklyk/task-orchestrator:latest
# Register with Claude Code
claude mcp add-json mcp-task-orchestrator '{
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}'
# For MCP clients: add to .mcp.json
{
"mcpServers": {
"mcp-task-orchestrator": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-v", "mcp-task-data:/app/data",
"ghcr.io/jpicklyk/task-orchestrator:latest"
]
}
}
}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.