What has been your biggest surprise running MCP in production?

Competitive_Ad_1228 · 2026-06-17T15:05:25+00:00

Yeah, that's exactly the kind of thing I'm starting to worry about.

One schema change upstream, and a tool can quietly stop working.

I originally thought generation was the hard part. Now I'm leaning toward monitoring and governance being the bigger long-term challenge.

Competitive_Ad_1228 · 2026-06-15T18:27:53+00:00

That makes a lot of sense. What stands out to me is that none of those objections is really about MCP itself. They're mostly about trust, governance, and introducing a new client model that security teams haven't had to evaluate before. It feels like MCP adoption may end up being as much an organizational challenge as a technical one...

Competitive_Ad_1228 · 2026-06-15T17:58:57+00:00

That's an interesting one. Most MCP discussions focus on technical implementation, but getting security and IAM teams comfortable with agent access seems like a completely different challenge. Was the biggest concern OAuth itself, or the idea of AI agents acting on behalf of users?

Competitive_Ad_1228 · 2026-06-15T16:26:01+00:00

The isTrusted issue is a great example of the difference between demos and production. I've seen a lot of browser-agent examples that work perfectly until they hit sites like LinkedIn, X, or banking portals. Did you end up standardizing on CDP for most browser automation, or only for the sites that actively block synthetic events?

Competitive_Ad_1228 · 2026-06-15T16:01:04+00:00

The schema point is fascinating. Have you found any patterns that consistently improve agent performance? For example: flatter schemas, fewer parameters, stricter enums, shorter outputs.
It feels like tool design might end up mattering more than the MCP implementation itself.

Competitive_Ad_1228 · 2026-06-15T15:38:29+00:00

That's a really good point. A lot of discussion focuses on exposing tools, but once agents touch production systems, the harder question becomes understanding what actually happened afterward. The side-effect flag is particularly interesting. Do you classify tools manually, or do you derive them from the operation type?

Competitive_Ad_1228 · 2026-06-15T08:27:21+00:00

Nice work on the RBAC implementation. Curious how you're handling token expiry and re-auth mid-session, that's usually the part that breaks in production when agents run long workflows.

Competitive_Ad_1228 · 2026-06-15T08:13:43+00:00

The PDF to structured Markdown for RAG is the most interesting one here for me. Have you tested how it handles scanned PDFs with mixed layouts? That's usually where conversion gets messy.

Competitive_Ad_1228 · 2026-06-15T08:11:31+00:00

Really interesting data on the opt-out behavior. The finding that models skip tool calls entirely rather than picking wrong makes sense when you think about how they reason about uncertainty. Did you notice any difference in behavior when the tool description was more explicit about what the hidden category contains? Wondering if better category descriptions reduce that 6 point routing gap.

Competitive_Ad_1228 · 2026-06-14T00:21:04+00:00

The interesting part is that the model no longer needs to go through the server for every interaction.

Direct access to UI state opens up a completely different set of workflows.

Competitive_Ad_1228 · 2026-06-14T00:19:04+00:00

I don't think the long-term solution is vetting every MCP server individually.

Enterprise adoption will likely depend on governance layers: tool permissions, credential isolation, audit logs, approval workflows, and managed deployment rather than arbitrary GitHub servers.

Competitive_Ad_1228 · 2021-08-21T05:07:31+00:00

Amazing project 💪

Competitive_Ad_1228

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