MCP Governance

See every MCP tool agents can invoke

Opsin inventories MCP servers and their tools, flags risky actions, and shows which agents can invoke them.
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60%

of agents* were granted “allow-all” access beyond what their tasks required

*Among agents provisioned beyond default settings
2026 State of Agentic Adoption Report by Opsin Labs
The Solution

Inventory MCP servers, then rank their risk

MCP (Model Context Protocol) is the standard agents use to call external tools and data sources. Opsin builds the MCP inventory from platform APIs, classifies tools by capability, and surfaces the agents and data connected.
Agent Connection Visibility
Assess Risk
Find Risky Combinations

Agent Connection Visibility

Opsin inventories projects and MCP connectors to map which LLM projects, tool calls, and external inputs can reach enterprise data and what is being used.

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Assess Risk

Opsin automatically finds risky connectors and sensitive data exposures, matching them to your governance posture. No tagging required.

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Find Risky Combinations

Opsin prioritizes risk findings, then recommends scope changes, agent quarantine, or connection removal with step by step instructions on what to fix.

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How It Works

From connector list to prioritized action

1

Connect enterprise AI platforms

Opsin connects via API to approved enterprise AI platforms. No agents to deploy or traffic to route. The connection inventory is then built from what those platforms report.
2

Classify connection access

Opsin classifies every tool by capability and exposure scope, then maps each connection to the agents using it. Your team tags connections holding sensitive data for the business.
3

Prioritize and fix MCP risk

View connections that are risky, untagged, or both in a prioritized view. See why MCPs are flagged, which tools are permitted, and which agents depend on them. Restrict, tag, or mark MCPs as verified.
4

See
MCP Governance
in action →
Customer Proof

Assess agent risk with confidence

‘‘
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby, Global IT Security Engineer, Culligan
Jim Shelby photo
‘‘
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad, VP of IT, UiPath
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Related Solutions

Extend protection across the agent lifecycle

Opsin covers the full agent lifecycle, from discovery to enforcement.

Ongoing Oversharing Protection

Stop sensitive data exposure before it impacts compliance, trust, or security. Opsin continuously detects, fixes, and prevents oversharing driven by AI queries, keeping your enterprise secure as AI adoption scales.
See how →

AI Risk Assessment

Opsin maps your AI attack surface, identifying data exposure, agent risks, and compliance gaps. Get a prioritized remediation roadmap in 24 hours.
See how →

Agent Identity Security

Opsin maps agents to their owners, permissions, and users to reveal where sensitive enterprise data could be exposed.
See how →
MCP Governance
FAQ

What is MCP (Model Context Protocol)?

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MCP is an open standard that lets AI agents call external tools and data sources such as file systems, databases, and SaaS apps. Every MCP server an agent can invoke extends what that agent can reach, which is why MCP belongs in your security picture.

What are the main MCP security risks?

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The risks Opsin flags, in order of impact:

  • Data exposure through over-permissioned or sensitive connections
  • Risky actions such as deleting or modifying records
  • Untrusted input reaching powerful tools
  • External reach that moves data outside your environment

For a field guide to how these play out, read The Mushroom Market.

How does Opsin discover MCP servers?

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Opsin builds the inventory from enterprise AI platform APIs, with no agents to deploy and no traffic to route. Each tool is classified by capability and mapped to the agents using it, extending the same approach as Agent Discovery.

Can we restrict which agents use an MCP server?

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Yes. Teams can restrict risky MCPs, tag connections that hold sensitive data, and mark reviewed servers as verified. Enforcement then matches how sensitive each connection is, and runtime monitoring catches agents that misuse approved tools.

How common is excessive MCP access?

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Very. Opsin found 60% of agents provisioned beyond default settings were granted allow-all access beyond what their tasks required (2026 State of Agentic Adoption Report).

How do we get started with MCP governance?

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Start with visibility. A free AI Readiness Assessment shows every MCP server your agents can invoke, delivered within 24 hours.

Why use Opsin for MCP security?

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Opsin shows MCP servers in context: which agents use them, what they can reach and what they can change. The inventory comes from platform APIs with nothing to deploy. Each tool is classified by capability and exposure, your team tags the sensitive connections, and you restrict, tag or verify MCPs from one view. MCP risk shows up at runtime too; see Agent Runtime Security.

‍

Turn agent sprawl into risk clarity

See every agent, what it can reach, and what to fix.
See Opsin in action →
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad
VP of IT, UiPath
Customer story →
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby
Global IT Security Engineer, Culligan
Customer story →
For financial services organizations facing similar AI adoption challenges, I highly recommend partnering with Opsin. They provide the governance framework and ongoing oversight that enables confident, compliant AI deployment at scale.
Alex Bazay
CISO, Align Communications
Customer story →
Thanks to Opsin’s initial risk assessment, and their continuous monitoring of files introduced into our M365 environment, it gave me the confidence to recommend that we move forward.
Roftiel Constantine
Global CISO, Barry-Wehmiller
Customer story →
This was our wake-up call. Opsin helped us clean house and educate our data citizens, so we can confidently go live with Copilot.
Lisa Choi
Director Enterprise Architecture, Cascade
Customer story →
We had lived with some of these risks for years. AI just accelerated our timeline. With Opsin, we acted fast, which gave our business the confidence to adopt AI securely and at scale.
Amir Niaz
VP, Global CISO, Culligan
Customer story →
Working with Opsin helped me mature my own data classification and protection concepts. We were able to focus on the data that really mattered to our business and address the AI oversharing challenge fast.
Mike Schuetter
CISO, Encore Technologies
Customer story →
Thanks to Opsin’s risk assessment, we reduced our oversharing risk significantly and ensured proper rollout of AI while maintaining our data security and privacy policies. Opsin helps you detect and solve oversharing challenges continuously as you scale AI across your organization.
Dan Tabor
CISO, Healthmark
Customer story →
Opsin helps detect and remediate oversharing as you scale AI, preventing security incidents while preserving the productivity gains that make AI worthwhile.
Mihai Faur
CIO, UiPath
Customer story →
Opsin gave us exactly what we needed ─ clear visibility into our risk exposure across the environment. Now we can confidently move forward with our broader Copilot deployment knowing we understand what we’re dealing with.
Mike D’Arezzo
Executive Director of Security, Wellstar
Customer story →
I need to know whether an agent’s connection to sensitive systems is risky or legitimate. Opsin gives me the deep context to tell the difference.
Lior Eldad
VP of IT, UiPath
Customer story →
Finally, I have a way to assess agent risks based on its capabilities and whether those capabilities align with the intended purposes.
Jim Shelby
Global IT Security Engineer, Culligan
Customer story →
For financial services organizations facing similar AI adoption challenges, I highly recommend partnering with Opsin. They provide the governance framework and ongoing oversight that enables confident, compliant AI deployment at scale.
Alex Bazay
CISO, Align Communications
Customer story →
Thanks to Opsin’s initial risk assessment, and their continuous monitoring of files introduced into our M365 environment, it gave me the confidence to recommend that we move forward.
Roftiel Constantine
Global CISO, Barry-Wehmiller
Customer story →
This was our wake-up call. Opsin helped us clean house and educate our data citizens, so we can confidently go live with Copilot.
Lisa Choi
Director Enterprise Architecture, Cascade
Customer story →
We had lived with some of these risks for years. AI just accelerated our timeline. With Opsin, we acted fast, which gave our business the confidence to adopt AI securely and at scale.
Amir Niaz
VP, Global CISO, Culligan
Customer story →
Working with Opsin helped me mature my own data classification and protection concepts. We were able to focus on the data that really mattered to our business and address the AI oversharing challenge fast.
Mike Schuetter
CISO, Encore Technologies
Customer story →
Thanks to Opsin’s risk assessment, we reduced our oversharing risk significantly and ensured proper rollout of AI while maintaining our data security and privacy policies. Opsin helps you detect and solve oversharing challenges continuously as you scale AI across your organization.
Dan Tabor
CISO, Healthmark
Customer story →
Opsin helps detect and remediate oversharing as you scale AI, preventing security incidents while preserving the productivity gains that make AI worthwhile.
Mihai Faur
CIO, UiPath
Customer story →
Opsin gave us exactly what we needed ─ clear visibility into our risk exposure across the environment. Now we can confidently move forward with our broader Copilot deployment knowing we understand what we’re dealing with.
Mike D’Arezzo
Executive Director of Security, Wellstar
Customer story →
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