What environment variables are required?
A Yandex Tracker OAuth token (`TRACKER_TOKEN`) and one organization ID (`TRACKER_CLOUD_ORG_ID` or `TRACKER_ORG_ID`) are required.
@aikts
Basic information
Enable AI assistants to securely access and manage Yandex Tracker issues, queues, users, and related data through a comprehensive MCP server. Perform advanced searches, retrieve detailed issue information, and manage queues with optional caching for improved performance. Integrat
Add this server to your MCP-compatible client using the configuration below.
{
"mcpServers": {
"yandex-tracker": {
"command": "docker",
"args": [
"run",
"--rm",
"-i",
"-e",
"TRACKER_TOKEN",
"-e",
"TRACKER_CLOUD_ORG_ID",
"-e",
"TRACKER_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",
"TRACKER_ORG_ID": "your_org_id_here"
}
}
}
}Tool list not available yet
This listing does not currently have a tool list to display. This does not mean the server has no tools; check its documentation for supported capabilities.
We auto-extract tools from the README. The maintainer can list them under a ## Tools heading to populate this section.
A Model Context Protocol (MCP) server that provides AI assistants with secure, authenticated access to Yandex Tracker APIs—including issues, queues, comments, worklogs, and search—with optional Redis caching for performance.
Set the required environment variables (TRACKER_TOKEN and either TRACKER_CLOUD_ORG_ID or TRACKER_ORG_ID). Optionally configure transports (stdio, streamable-http, or SSE), queue restrictions, and Redis caching. The server exposes MCP tools such as queues_get_all, issue_get, and issues_find.
A Yandex Tracker OAuth token (`TRACKER_TOKEN`) and one organization ID (`TRACKER_CLOUD_ORG_ID` or `TRACKER_ORG_ID`) are required.
Yes, by setting `TRACKER_LIMIT_QUEUES` to a comma-separated list of queue keys; all tools respect this restriction.
Stdio, streamable-http, and SSE transports are available via the `TRANSPORT` environment variable.
Optional Redis caching is configured with `CACHE_ENABLED`, `CACHE_REDIS_ENDPOINT`, `CACHE_REDIS_PORT`, and `CACHE_REDIS_DB`.
Yes, the `issues_find` tool returns up to 500 issues per page.
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