We've reached 10 members! How long until 50?

To contribute:
- invite great European builders to this sub
- share exciting things being built in Europe
- share your journey if you are currently building

Let's build this sub together for Europe!

u/rizomr — 4 days ago
▲ 4 r/SaaS

Anyone here ship an MCP or copilot for their SaaS? Did it bring anything?

Everybody is shipping MCP servers or in-app copilots these days, and I'm trying to figure out if this is actually moving the needle or still mostly experimental.

For those of you who've shipped something like this: what happened in practice? Did you see anything on conversion, activation, retention, support volume, or deal size? Or was it more of a checkbox feature users barely touch?

Also curious about the stuff you didn't expect. What went better than you thought, and what turned into a headache?

If you tried and rolled back, I'd love to hear that too.

reddit.com
u/rizomr — 9 days ago
▲ 2 r/MCPservers+1 crossposts

We collect feedback for user-facing agents via MCP but not everybody wants to build their own agent. Would the same pattern help MCP server authors?

We've been building an MCP server where agents report user feedback by calling a tool during conversations: friction, bugs, missing features. That works when you own the agent but many teams would rather just ship an MCP.

Still, an agent sits between the user and your MCP and it can detect when something's off (a missing tool, an unmet expectation) and understand what went wrong. We're wondering if it would be useful for MCP authors to add a feedback tool on their server to collect feedback. The payload could be forwarded to us so we can aggregate and analyse it at scale.

- Do you collect feedback from people using your MCP today?
- Would you be ok to add a feedback tool to your MCP?
- Would you send user feedback to a third party for that, or would you rather keep it and analyse it yourself?

reddit.com
u/rizomr — 9 days ago
▲ 5 r/OpenSourceeAI+2 crossposts

Open-source skills to review user-facing agent UX from your codebase

Most code review focuses on engineering correctness but not whether the user-facing agent experience implemented in your codebase makes sense.

I open-sourced some skills that scan a repo for user-facing agents and write Markdown reviews plus codebase-grounded recommendations under. We built this for our own pre-ship checks, not a substitute for user research or design review.

The review rubric covers first-run capability discovery, GUI/context integration, escalation paths, and failure/recovery states.

Install:

npx skills add Correl8AI/skills

If you build agents: does it miss gaps you see in practice, and are the recommendations concrete enough to implement from?

reddit.com
u/rizomr — 13 days ago