The Model Context Protocol enables powerful capabilities through arbitrary data access and code execution paths. With this power comes important security and trust considerations that all implementors must carefully address.
Key Principles
User Consent and Control
Users must explicitly consent to and understand all data access and operations
Users must retain control over what data is shared and what actions are taken
Implementors should provide clear UIs for reviewing and authorizing activities
Data Privacy
Hosts must obtain explicit user consent before exposing user data to servers
Hosts must not transmit resource data elsewhere without user consent
User data should be protected with appropriate access controls
Tool Safety
Tools represent arbitrary code execution and must be treated with appropriate caution
Hosts must obtain explicit user consent before invoking any tool
Users should understand what each tool does before authorizing its use
LLM Sampling Controls
Users must explicitly approve any LLM sampling requests
Users should control:
Whether sampling occurs at all
The actual prompt that will be sent
What results the server can see
The protocol intentionally limits server visibility into prompts
Implementation Guidelines
While MCP itself cannot enforce these security principles at the protocol level, implementors SHOULD:
Build robust consent and authorization flows into their applications
Provide clear documentation of security implications
Implement appropriate access controls and data protections
Follow security best practices in their integrations
Consider privacy implications in their feature designs
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