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Introducing Levo’s MCP Discovery For Secure Model Context Protocol Adoption

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Today, we are excited to announce the launch of Levo’s MCP Discovery module, ushering in a new era of rapid yet pragmatic adoption of MCP servers across major enterprises.

Going from 100,000 to 97 million monthly downloads in 13 short months, MCP has enabled unprecedented AI integration, unlocking productivity gains, faster automation, and lower integration costs.

At the same time, ecosystem breadth has exploded: 16,000+ MCP servers are now indexed across official and unofficial registries, positioning MCP as one of the fastest-adopted protocols ever.

And that velocity is precisely the point, and the problem. MCP doesn’t spread through a single controlled rollout. It proliferates through developer laptops, prototypes, third-party servers, and “temporary” internal tooling that quickly becomes permanent.

The prerequisite for sustained MCP benefits is therefore secure adoption, and security always begins with visibility, i.e., establishing a complete, current view of MCP usage.

Levo’s MCP Discovery module ensures governance becomes inherent to the rollout, so velocity stops being negotiated at every milestone.

With real time, comprehensive visibility into MCP adoption, AI programs move forward with fewer re-reviews, fewer last minute escalations, and fewer pauses driven by what should have been visible from the beginning.

What Levo’s MCP Discovery Delivers

Levo’s MCP Discovery answers three fundamental questions that guide secure adoption: what exists, what’s allowed, and what the risk posture looks like. Not as a one-time audit, but as a living view that stays current so the MCP footprint is known, classified, and prioritized.

Continuous MCP Server Discovery and Inventory

MCP Discovery continuously enumerates MCP servers across endpoints and remote environments, producing a live, enterprise-wide inventory. It seamlessly integrates with the controls enterprises already rely on (MDM and endpoint agents) so visibility doesn’t depend on self-reporting, tribal knowledge, or whether anyone remembered to document what they installed. And it makes the execution surface explicit: where MCP exists, where it’s used, and where it’s quietly spreading.

Most enterprises already want to enforce consistent security standards. The practical problem is simpler: standards can’t be enforced on a footprint that isn’t known. 

When the current reality is visible, governance stops being an aspiration and becomes something enterprises can actually apply, starting with the most basic decision: what belongs.

MCP Governance: Approved vs Unapproved Server Detection

MCP Discovery doesn’t just count servers; it differentiates between approved and unapproved servers, turning raw inventory into an enforceable footprint. That matters because in MCP ecosystems, “installed” quickly becomes “trusted,” and “trusted” quietly becomes part of business-critical workflows, often without a formal decision ever being made.

That single distinction turns MCP growth from accidental to intentional.

MCP Risk Scoring and Prioritization

An inventory is useful. A prioritized inventory is actionable. MCP Discovery assigns risk posture across what it finds by scoring both third-party MCP servers teams may be pulling in and in-house MCP servers built internally. That’s a critical shift, because the risk profile isn’t defined by who authored the server; it’s defined by how it behaves, where it runs, what it touches, and how widely it’s being relied on.

When risk is ranked across the entire MCP footprint, decisions become faster, remediation becomes deliberate, and progress stops getting held hostage by uncertainty.

MCP Security Controls and Policy Enforcement

MCP adoption often begins on laptops, which means early MCP servers sit closest to the richest local context: files, logs, tokens, cached credentials, and developer environments that were never designed to be a shared execution plane.

Levo surfaces what endpoint MCP servers can reach and where exposure paths exist, so you’re not discovering sensitive access patterns only after they’ve already become normal.

And once reach is visible, containment becomes possible. Not as a blunt shutdown, but as a context-aware response that targets the real exposure paths and makes controls meaningfully more effective.

Selective Blocking for High-Risk MCP Behavior

Visibility is the beginning; prevention is what keeps risk from compounding. Where policy or risk posture demands it, MCP Discovery can support blocking. Not as an always-on brake, but as a selective control applied to the MCP servers and on-device access patterns that cross the line.

That creates the outcome enterprises actually want: teams keep moving fast with MCP, while the few paths that would turn MCP into an attack vector are contained before they wipe out the productivity gains that made MCP worth adopting in the first place.

Zero Friction Operations: MCP Discovery at Enterprise Scale

It’s not just the visibility outcomes that are impressive with Levo’s MCP Discovery but also the process as minimal effort is needed to obtain and maintain it. 

It’s designed to fit into the way enterprises already manage endpoint fleets, so coverage can be made consistent without creating a months-long rollout program or a constant tuning burden. As MCP usage evolves, the picture stays current.

With Levo, MCP adoption can accelerate as control holds up without repeatedly having to be reconfigured. 

Speak to en engineer today to know your MCP footprint. Keep AI velocity intact.

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We didn’t join the API Security Bandwagon. We pioneered it!