Graphify-Labs/graphify
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
Awesome MCP › Software Development
Yandex Tracker MCP Server gives MCP clients access to Yandex Tracker, the issue-tracking and project-management service. Queue management lists available queues with pagination, tags and detailed metadata, so a model can discover the structure of a workspace before querying inside it. Issue tools read issues and their fields, and cover the associated records that make up a tracker's real content: comments, worklogs recording time spent, links between issues, and attachments. Search is exposed as its own tool, which matters in Tracker because its query language is how any non-trivial selection of issues is expressed. Authentication supports OAuth2 as well as token access, and access is bounded by what the authenticated account can see. Optional Redis caching sits in front of the API to cut repeated lookups during a long session, a meaningful difference when a model is walking through many issues in one conversation. The server is Python, built on asyncio, published on PyPI as yandex-tracker-mcp with tests and releases in continuous integration, and registered under the io.github.aikts/yandex-tracker-mcp MCP name. Documentation is provided in English and Russian. The audience is teams — predominantly Russian-speaking organisations, where Tracker is widely used — who want issue status, history and time records queried conversationally.
https://github.com/aikts/yandex-tracker-mcp
Graphify transforms codebases, documentation, and other files into queryable knowledge graphs, enhancing developer productivity with local AST parsing and detailed edge explanations.
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