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MCP Security

Secure every MCP server as part of the agent boundary.

Focused MCP security resources for server ownership, security testing, tool controls, prompt injection, and data exposure in connected AI agent workflows.

An agent connector reaches an MCP server whose exposed tools have separate authority boundaries.
Review every connected capability.

Topic Pages

Focused pages for search and review.

Each page has its own URL, definition, scenario set, detection signals, testing guidance, and Orbyntis evaluation path.

MCP Server Security

Secure MCP servers by mapping ownership, authentication, exposed capabilities, versioning, authorization, and evidence before agents depend on them.

Why it matters
Enterprise AI risk becomes concrete when a connected system can read data, invoke tools, influence approvals, or leave incomplete evidence.
How to test
  • Map the workflow from request to business effect.
  • Test adversarial prompts, retrieved content, tool parameters, and approval states.
  • Verify controls outside the model and preserve enough evidence for review.
Explore MCP Server Security

MCP Security Testing

Test MCP servers as part of the agent boundary, including malicious tool responses, unsafe parameters, over-broad scopes, and missing audit evidence.

Why it matters
Enterprise AI risk becomes concrete when a connected system can read data, invoke tools, influence approvals, or leave incomplete evidence.
How to test
  • Map the workflow from request to business effect.
  • Test adversarial prompts, retrieved content, tool parameters, and approval states.
  • Verify controls outside the model and preserve enough evidence for review.
Explore MCP Security Testing

MCP Tool Security

Constrain MCP tools by workflow purpose, schema, identity, destination, authorization, approval state, and operational evidence.

Why it matters
Enterprise AI risk becomes concrete when a connected system can read data, invoke tools, influence approvals, or leave incomplete evidence.
How to test
  • Map the workflow from request to business effect.
  • Test adversarial prompts, retrieved content, tool parameters, and approval states.
  • Verify controls outside the model and preserve enough evidence for review.
Explore MCP Tool Security

MCP Prompt Injection

Treat MCP outputs and tool descriptions as potential injection paths that can influence later model reasoning or tool calls.

Why it matters
Enterprise AI risk becomes concrete when a connected system can read data, invoke tools, influence approvals, or leave incomplete evidence.
How to test
  • Map the workflow from request to business effect.
  • Test adversarial prompts, retrieved content, tool parameters, and approval states.
  • Verify controls outside the model and preserve enough evidence for review.
Explore MCP Prompt Injection

MCP Data Exposure

Reduce data exposure through MCP servers by limiting scopes, filtering outputs, classifying returned data, and preserving reviewable evidence.

Why it matters
Enterprise AI risk becomes concrete when a connected system can read data, invoke tools, influence approvals, or leave incomplete evidence.
How to test
  • Map the workflow from request to business effect.
  • Test adversarial prompts, retrieved content, tool parameters, and approval states.
  • Verify controls outside the model and preserve enough evidence for review.
Explore MCP Data Exposure

MCP Security FAQ

Questions teams ask before production.

What is MCP security?

MCP security is the practice of securing the Model Context Protocol servers, tools, resources, identities, permissions, and evidence paths that extend what an AI agent can access or do.

Why can an MCP server increase AI agent risk?

An MCP server can expose data, tools, and actions to an agent. If ownership, authorization, scope, and tool behavior are unclear, the server can expand the agent's authority beyond the intended workflow.

What should be tested in an MCP server?

Teams should test authentication, authorization, token audience, exposed tools, tool parameters, data filtering, prompt injection through tool output, audit logs, and safe failure behavior.

Can MCP tool descriptions create prompt injection risk?

Yes. Tool descriptions, tool responses, and MCP-provided content can influence model context. They should be treated as untrusted data unless deterministic controls prevent them from overriding policy or authorization.

How should MCP data exposure be controlled?

MCP data exposure should be controlled with least-privilege scopes, per-user authorization, output filtering, data classification, logging minimization, and reviewable evidence for sensitive actions.

How does Orbyntis evaluate MCP security?

Orbyntis evaluates MCP security by mapping server ownership, tool authority, identity, authorization, prompt injection paths, data exposure, testing evidence, and operational impact across the agent workflow.