yandex-tracker-mcp vs memory

Side-by-side comparison to help you pick between these two MCP servers.

	yandex-tracker-mcp by aikts	memory by modelcontextprotocol
Stars	★ 73	★ 85,748
30d uses	—	—
Score	48	77
Official	—	✓
Categories	ProductivityDeveloper ToolsCommunication	Knowledge GraphAI / LLM 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.

memory · Summary

An MCP server implementing persistent memory using a local knowledge graph for AI models to remember user information across chats.

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

memory · Use cases

Personalizing AI assistant interactions by remembering user preferences, history, and relationships
Building context-aware chat applications that maintain conversation history
Creating knowledge bases that persist across AI model sessions

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 token
TRACKER_IAM_TOKEN - IAM token (alternative)
TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID - Your organization ID

memory · Install

Installation

Claude Desktop

Add to your claude_desktop_config.json:

{
  "mcpServers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

VS Code

Use one-click installation buttons or manually configure in .vscode/mcp.json:

{
  "servers": {
    "memory": {
      "command": "npx",
      "args": [
        "-y",
        "@modelcontextprotocol/server-memory"
      ]
    }
  }
}

Docker

{
  "mcpServers": {
    "memory": {
      "command": "docker",
      "args": ["run", "-i", "-v", "claude-memory:/app/dist", "--rm", "mcp/memory"]
    }
  }
}

Comparison generated from public README + GitHub signals. Last updated automatically.