Control What MCP Servers Actually Do

See how MCP-connected tools are used by agents — and apply control at the moment actions execute across systems and downstream impact.


  • See what each MCP server exposes

  • Understand how agents use tools in real workflows

  • Control actions at execution, not just approval

MCP Adoption Is Accelerating. But Control Breaks at Execution

MCP makes tools and capabilities easy for agents to access. But once connected, those tools don’t just sit idle — they execute actions across internal systems, external services, and production environments.

Most teams still can’t see or control what actually happens after connection.

To operate MCP safely, teams need to understand:

  • What each MCP server exposes

  • What actions agents actually execute

  • What systems and data those actions impact

Today, those answers are often discovered after the fact — creating risk and slowing real adoption.

Built on One of the Largest Views of MCP in the Market

MCP Trust Registry

BlueRock powers its understanding of MCP through the MCP Trust Registry — a continuously evolving view of MCP servers, capabilities, and real-world usage.

  • Analyze thousands of public MCP servers across environments

  • Understand what each server exposes and how it’s used

  • Surface trust signals, ownership, and risk patterns in minutes

  • Track how agents actually invoke MCP tools in practice

  • Option to scan private MCP servers

This gives teams a foundation to move beyond assumptions — and make decisions based on how MCP behaves in the real world.

10,000+

MCP servers scanned


9.2%

of MCP servers have critical vulnerabilities

43%

of MCP servers have command injection flaws

Developers move faster than governance can keep up

Teams want to use Cursor, Claude, Copilot, MCP servers, and agentic workflows now — but security and platform teams are still trying to catch up

Why MCP Is Hard to Govern Today

Tool and MCP usage is hard to see clearly

Organizations often do not know what external tools, MCP servers, or system capabilities are being introduced through AI-native workflows

AI-assisted workflows can affect real systems too quickly

Suggested code, tool calls, or generated workflows can get close to production systems before teams fully understand the implications

Controls often break the developer workflow

Many governance approaches require developers to leave their native environment or work around controls that were not built for AI-assisted development

Approval is manual

Servers are reviewed by hand with limited visibility.

Capabilities Aren’t Clear

It’s hard to understand what actions a server enables.

No Shared View

Teams see fragments across engineering, security, and devops/

Control Stops at Approval

Approval doesn’t reflect how servers are used later

Developers move faster than governance can keep up

Teams want to use Cursor, Claude, Copilot, MCP servers, and agentic workflows now — but security and platform teams are still trying to catch up

What BlueRock Makes Visible Across MCP Adoption

Tool and MCP usage is hard to see clearly

Organizations often do not know what external tools, MCP servers, or system capabilities are being introduced through AI-native workflows

AI-assisted workflows can affect real systems too quickly

Suggested code, tool calls, or generated workflows can get close to production systems before teams fully understand the implications

Controls often break the developer workflow

Many governance approaches require developers to leave their native environment or work around controls that were not built for AI-assisted development

MCP server inventory

See which MCP servers are active, where they come from, and who owns them

Tool Risk and Capability

Understand what each tool can do, from read-only to high-risk actions

Agent-to-Tool Behavior

See how agents invoke tools and what actions are taken

Guardrails at Execution

Define where usage is allowed, constrained, or blocked

Downstream Impact

See what systems, APIs, and data are affected after execution

Who Needs This Visibility and Control

Engineering Teams

Move faster with MCP without losing visibility into what runs

Security Teams

Understand tool behavior and reduce downstream risk with real context

MCP Builders

See how your servers are actually used and what teams rely on

Devops / Platform Teams

Standardize how MCP is introduced, used, and governed across teams

Start Building Better with BlueRock

Start Building Better with BlueRock

Start Building Better with BlueRock

Common Questions

How is BlueRock's scan different from reviewing the source code ourselves?

Manual review is inconsistent, slow, and limited by what a reviewer knows to look for. BlueRock runs 22 security rules mapped to OWASP MCP Top 10, MAESTRO, and MITRE CWE — automatically, against every version of the server, with evidence mapped to the specific line of code. It's what a thorough security review would find, in minutes instead of weeks.

Can BlueRock scan private or internal MCP servers — not just public ones?

Yes. BlueRock supports private repo scanning for internal and enterprise MCP deployments. If your team has built internal MCP servers, BlueRock can scan those with the same code-level analysis as public servers.

What happens when an MCP server we've already approved gets updated?

New versions can introduce new vulnerabilities. BlueRock can re-scan approved servers when versions change — giving your team an updated risk assessment without restarting the review process from scratch.

We already have a gateway. Why do we need BlueRock?

Gateways see that a tool was called. BlueRock sees what the tool actually did — the specific query, the permission used, the system touched downstream. They operate at different layers. BlueRock also covers the pre-approval phase: code-level security analysis of the MCP server itself, before approval is ever granted. Gateways don't address that.

Can we apply guardrails to specific MCP capabilities without blocking the whole server?

Yes. BlueRock's guardrails apply at the action level — you can block a specific capability, constrain a permission scope, or flag a particular invocation pattern without blocking the entire MCP server. This is the difference between governance that works and controls that developers route around.