yandex-tracker-mcp vs filesystem
Side-by-side comparison to help you pick between these two MCP servers.
yandex-tracker-mcp by aikts | filesystem by modelcontextprotocol | |
|---|---|---|
| Stars | ★ 73 | ★ 85,748 |
| 30d uses | — | — |
| Score | 48 | 77 |
| Official | — | ✓ |
| Categories | ProductivityDeveloper ToolsCommunication | File SystemDeveloper ToolsProductivity |
| Language | Python | TypeScript |
| Last commit | 1 mo ago | this month |
yandex-tracker-mcp · Summary
An MCP server providing full Yandex Tracker API integration with OAuth2 support and caching capabilities.
filesystem · Summary
A feature-rich MCP server for filesystem operations with dynamic directory access control.
yandex-tracker-mcp · Use cases
- AI assistant managing Yandex Tracker issues through natural language commands
- Development team automating issue tracking workflows via AI
- Product managers querying ticket data and generating reports using AI
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
yandex-tracker-mcp · Install
Installation
- **Using uvx (Recommended)**
uvx yandex-tracker-mcp@latest- **Using Docker**
docker run --rm -i ghcr.io/aikts/yandex-tracker-mcp:latest- **Claude Desktop Configuration**
{
"mcpServers": {
"yandex-tracker": {
"command": "uvx",
"args": ["yandex-tracker-mcp@latest"],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here",
"TRACKER_ORG_ID": "your_org_id_here"
}
}
}
}Required Environment Variables
TRACKER_TOKEN- Your Yandex Tracker OAuth tokenTRACKER_IAM_TOKEN- IAM token (alternative)TRACKER_CLOUD_ORG_IDorTRACKER_ORG_ID- Your organization ID
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.