Stash MCP Server - Make AI IDEs even smarter with your team’s knowledge
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Stash MCP Server lets AI agents like Cursor, Claude, and Copilot access your team’s real context (code, docs, issues) so they can resolve tickets without endless prompting.
Just say "solve my assigned issue with the ID of …" - that’s it.
Replies
Congrats on the launch! 🚀 Context-aware tools can make a huge difference for developers. How does Stash surface the most relevant codebase, issue, or doc insights for a given task—does it use AI-driven heuristics, graph relationships, or something else? Also, are there ways to customize context feeds for teams with different workflows or projects?
InsForge
That moment when the AI just dives into my assigned issue and already knows where to find the code and docs. Feels like working with a teammate who comes in with the full context and handles the lookup for me.
This is great, Agents having access to issues feels like filling in the missing piece, nice demo too!
X-Design
Love how intuitive this feels. I didn’t need a tutorial to figure things out.
Hey @nozdemir congrats on the launch! Can you please help me understand how is it different from using atlassian's MCP server? As of now I can fetch the context from JIRA & Confluence and feed it to LLM with atlassian's MCP server as well.