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.
We built Stash MCP Server to make AI agents like Cursor, Claude, and Copilot actually useful inside real dev workflows.
Instead of crafting endless prompts, your agents get direct access to your team’s code, docs, and issues. That means you can just say:
➡️ “Solve my assigned issue with the ID of …”
…and the AI already has the context it needs.
We’ve been working closely with dev teams who spend hours searching context across Jira, GitHub, and Confluence. Stash cuts that hours down to seconds.
We’d love your feedback - how do you see yourself (or your team) using AI agents with real context?
Thanks for checking us out 🚀
You guys working round the clock to build everything the community asks for! Kudos to the team :)
I saw MCP thingy blow up. But no startup actually betting on it with an interesting product. You're one of it.
Stash was really useful for our dev team but after they released MCP server, it is become a game changer while writing code with ai. We now get the right context inside cursor and claude in seconds.
Been testing Stash MCP for a while and honestly, this is what AI tools were missing. Cursor + Copilot actually “get” my codebase now.
That moment when the AI pulls the exact ticket context and starts tackling the issue like it actually knows where everything lives. It’s oddly relieving not to scramble between Jira, GitHub, and docs just to keep a single thread going.
That moment when Stash lets the AI hit the assigned issue with the right context already loaded felt surprisingly liberating. It feels like having a teammate who actually reads the Jira history before replying.
A very important piece of software, considering how deeply AI is becoming integrated into every developer’s life. Wishing you the best of luck!
Remember the days when we used jira with tons of tickets flushing in... I really hope Stash could relief dev people from pain! Congrats team!
Congrats on the Launch! How do you handle security when giving AI agents access to private repos and docs?
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.
Really like the idea! Giving AI agents direct context from codebase, issues, and docs feels like it could save dev teams tons of time. 💪🏻
About Stash MCP Server on Product Hunt
“Make AI IDEs even smarter with your team’s knowledge”
Stash MCP Server launched on Product Hunt on September 12th, 2025 and earned 451 upvotes and 57 comments, earning #1 Product of the Day. 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.
Stash MCP Server was featured in Software Engineering (42.3k followers), Developer Tools (511k followers) and Artificial Intelligence (466.2k followers) on Product Hunt. Together, these topics include over 158.6k products, making this a competitive space to launch in.
Who hunted Stash MCP Server?
Stash MCP Server was hunted by Nihat Ozdemir. A “hunter” on Product Hunt is the community member who submits a product to the platform — uploading the images, the link, and tagging the makers behind it. Hunters typically write the first comment explaining why a product is worth attention, and their followers are notified the moment they post. Around 79% of featured launches on Product Hunt are self-hunted by their makers, but a well-known hunter still acts as a signal of quality to the rest of the community. See the full all-time top hunters leaderboard to discover who is shaping the Product Hunt ecosystem.
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Nihat Ozdemir