by aikts
Yandex Tracker MCP Server with OAuth2 support
# Add to your Claude Code skills
git clone https://github.com/aikts/yandex-tracker-mcpGuides for using mcp servers skills like yandex-tracker-mcp.
Last scanned: 8/13/2026
{
"issues": [],
"status": "PASSED",
"scannedAt": "2026-08-13T05:41:01.471Z",
"npmAuditRan": true,
"pipAuditRan": true,
"promptInjectionRan": true
}See how yandex-tracker-mcp compares with popular alternatives.
yandex-tracker-mcp is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by aikts. Yandex Tracker MCP Server with OAuth2 support. It has 116 GitHub stars.
Yes. yandex-tracker-mcp passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.
Clone the repository with "git clone https://github.com/aikts/yandex-tracker-mcp" and add it to your Claude Code skills directory (see the Installation section above).
yandex-tracker-mcp is primarily written in Python. It is open-source under aikts on GitHub, so you can review or fork the full source.
Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh yandex-tracker-mcp against similar tools.
No comments yet. Be the first to share your thoughts!
Top skills in this category by stars
⚠️ Third-Party Software Notice
This skill is third-party open-source software developed and hosted independently on GitHub. SkillsLLM is an informational directory and does not control or maintain the underlying repository.
Any security checks, ratings, or warnings displayed by SkillsLLM are automated and limited in scope. They do not constitute a security certification or guarantee that the software is safe, error-free, or free from malicious code, vulnerabilities, compromised dependencies, or prompt-injection risks.
Review the source code, permissions, dependencies, and configuration before installing or running any third-party skill. Use is at your own risk. To the maximum extent permitted by applicable law, SkillsLLM is not liable for losses arising from third-party software.
mcp-name: io.github.aikts/yandex-tracker-mcp
A comprehensive Model Context Protocol (MCP) server that enables AI assistants to interact with Yandex Tracker APIs. This server provides secure, authenticated access to Yandex Tracker issues, queues, comments, worklogs, and search functionality with optional Redis caching for improved performance.
Documentation in Russian is available here / Документация на русском языке доступна здесь.
TRACKER_ENTITIES_ENABLED)Choose one of the following based on your Yandex organization type:
TRACKER_CLOUD_ORG_ID env var later for Yandex Cloud-managed organizationsTRACKER_ORG_ID env var later for Yandex 360 organizationsYou can find your organization ID in the Yandex Tracker URL or organization settings.
Yandex Tracker MCP Server can be one-click installed in Claude Desktop as and extension.
*.mcpb file from GitHub Releases.

The following sections show how to configure the MCP server for different AI clients. You can use either uvx yandex-tracker-mcp@latest or the Docker image ghcr.io/aikts/yandex-tracker-mcp:latest. Both require these environment variables:
TRACKER_TOKEN - Your Yandex Tracker OAuth tokenTRACKER_IAM_TOKEN - Your IAM tokenTRACKER_SA_KEY_ID, TRACKER_SA_SERVICE_ACCOUNT_ID, TRACKER_SA_PRIVATE_KEY - Service account credentialsTRACKER_CLOUD_ORG_ID - Your Yandex Cloud organization IDTRACKER_ORG_ID - Your Yandex 360 organization IDSet one of the two. Setting both makes every Tracker call fail with
Only one of org_id or cloud_org_id should be provided.The examples below useTRACKER_CLOUD_ORG_ID; on Yandex 360, replace that key withTRACKER_ORG_ID.
Configuration file path:
~/Library/Application Support/Claude/claude_desktop_config.json%APPDATA%\Claude\claude_desktop_config.jsonUsing uvx:
{
"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"
}
}
}
}
Using Docker:
{
"mcpServers": {
"yandex-tracker": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "TRACKER_TOKEN",
"-e", "TRACKER_CLOUD_ORG_ID",
"ghcr.io/aikts/yandex-tracker-mcp:latest"
],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
}
}
}
}
Using uvx:
claude mcp add yandex-tracker uvx yandex-tracker-mcp@latest \
-e TRACKER_TOKEN=your_tracker_token_here \
-e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here \
-e TRANSPORT=stdio
Using Docker:
claude mcp add yandex-tracker docker "run --rm -i -e TRACKER_TOKEN=your_tracker_token_here -e TRACKER_CLOUD_ORG_ID=your_cloud_org_id_here -e TRANSPORT=stdio ghcr.io/aikts/yandex-tracker-mcp:latest"
Configuration file path:
.cursor/mcp.json in your project directory~/.cursor/mcp.jsonUsing uvx:
{
"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"
}
}
}
}
Using Docker:
{
"mcpServers": {
"yandex-tracker": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "TRACKER_TOKEN",
"-e", "TRACKER_CLOUD_ORG_ID",
"ghcr.io/aikts/yandex-tracker-mcp:latest"
],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
}
}
}
}
Configuration file path:
~/.codeium/windsurf/mcp_config.jsonAccess via: Windsurf Settings → Cascade tab → Model Context Protocol (MCP) Servers → "View raw config"
Using uvx:
{
"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"
}
}
}
}
Using Docker:
{
"mcpServers": {
"yandex-tracker": {
"command": "docker",
"args": [
"run", "--rm", "-i",
"-e", "TRACKER_TOKEN",
"-e", "TRACKER_CLOUD_ORG_ID",
"ghcr.io/aikts/yandex-tracker-mcp:latest"
],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
}
}
}
}
Configuration file path:
~/.config/zed/settings.jsonAccess via: Cmd+, (macOS) or Ctrl+, (Linux/Windows) or command palette: "zed: open settings"
Note: Requires Zed Preview version for MCP support.
Using uvx:
{
"context_servers": {
"yandex-tracker": {
"source": "custom",
"command": {
"path": "uvx",
"args": ["yandex-tracker-mcp@latest"],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
}
}
}
}
}
Using Docker:
{
"context_servers": {
"yandex-tracker": {
"source": "custom",
"command": {
"path": "docker",
"args": [
"run", "--rm", "-i",
"-e", "TRACKER_TOKEN",
"-e", "TRACKER_CLOUD_ORG_ID",
"ghcr.io/aikts/yandex-tracker-mcp:latest"
],
"env": {
"TRACKER_TOKEN": "your_tracker_token_here",
"TRACKER_CLOUD_ORG_ID": "your_cloud_org_id_here"
}
}
}
}
}
Configuration file path:
.vscode/mcp.json in your project directorysettings.jsonOption 1: Workspace Configuration (Recommended for security)
Create .vscode/mcp.json:
Using uvx:
{
"inputs": [
{
"type": "promptString",
"id": "tracker-token",
"description": "Yandex Tracker Token",
"password": true
},
{
"type": "promptString",
"id": "cloud-org-id",
"description": "Yandex Cloud Organization ID"
}
],
"servers": {
"yandex-tracker": {
"type": "stdio",
"command": "uvx",
"args": ["yandex-tracker-mcp@latest"],
"env": {
"TRACKER_TOKEN": "${input:tracker-token}",
"TRACKER_CLOUD_ORG_ID": "${input:cloud-org-id}",
"TRANSPORT": "