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
Stash
PicWish
@nozdemir how do you handle cases where multiple repos or docs have overlapping info? Does the agent know which context to prioritise?
Stash
@mohsinproduct when multiple repos or docs contain overlapping info, Stash MCP doesn’t just dump everything into the agent. It re-ranks and filters context by relevance scores.
That way, the AI models aren’t overwhelmed with noise, and developers get the most accurate context first.
YouMind
Really impressive demo — reducing hours of context-gathering to seconds would be a game-changer for my team 🚀. Quick question: how does Stash handle access controls and permissions when pulling across Jira, GitHub, and Confluence so agents only see what they’re allowed to? Also curious about audit logs for agent actions. Thanks!
Stash
@jaredl Stash respects the same permissions you already have in Jira, GitHub, Confluence, etc. You can easily scope which repositories, spaces, and projects can be accessed and processed by Stash.
On top of that, we provide detailed audit logs of LLM actions so you always know what was accessed and when. Transparency + security are core design principles for us.
Aikido Security
Other MCP servers I’ve seen are pretty limited. What makes the Stash integration different?
Stash
@hovo_ghevondyan1 Most MCP Servers are like a CRUD operations toolkit. Fetch a Jira ticket, a document, or a file, etc. Stash MCP is powered by Stash itself, and Stash proactively finds every piece of related documents, past similar issues, and related code files for each ticket assigned to developers. That means when you pull context into an AI tool, you’re not just seeing raw data, you’re getting issue-aware, repo-aware, and doc-aware information that will be helpful for LLM to solve the "real-world" GitHub/Jira issues. You should definitely watch the demo video and read the output of the LLM. Firstly, it was wrong about the implementation way. Then, it realized that and fixed the implementation based on "the context" provided by Stash MCP.
MeDo by Baidu
Great work team Stash ✌
Stash
@bryce_cooper1 Thank you so much!
Congratulations guys. Tried the product and loved every bit of it.
Stash
@shantanusewu We’re so glad you enjoyed it! Having users like you makes building Stash even more rewarding.
Humva
Congrats on the launch team!
Regarding your question of how do you see yourself or your time using AI agents with real context, I would say I see it as the evolution from a clever autocomplete to a genuine junior team member. Right now, our AIs are like interns who can code fast but have zero background on the project. With full context, they become invaluable. A new hire could ask, 'Summarize the architectural decisions behind our notification service, pointing to the original Confluence docs and the key files in the repo.' That would cut onboarding time in half. A senior engineer could say, 'Draft a plan to refactor this module to reduce database calls, based on the performance goals in JIRA-123 and our company style guide in Confluence.' The AI becomes a partner in design and planning, not just a code monkey. It's about letting my team offload the cognitive drudgery of information retrieval so they can focus on what they're actually paid for: solving hard engineering problems.
Stash
@joywakeup Exactly the vision we had! Turning AI into a real teammate that understands your project’s history and goals.
GPT Computer Assistant(GCA) | 5K Star
Really like the idea! Giving AI agents direct context from codebase, issues, and docs feels like it could save dev teams tons of time. 💪🏻
Stash
@mumtazvural Thank you so much! Exactly, when you give AI agents more richer context, they can produce better outcomes in less time and make this processes easier for teams.
Looks smart and easy to use! Best of luck with the launch!
Stash
@helga_impalpable Thanks!
This is becoming something big! congrats team!
Stash
@kathir05 You are welcome! We are putting our best effort to come up with great products.
GPT Computer Assistant(GCA) | 5K Star
Great product
Stash
@bartu 😎