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awesome mcp security

Built by Puliczek • 672 stars

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What is awesome mcp security?

🔥🔒 Awesome MCP (Model Context Protocol) Security 🖥️

How to use awesome mcp security?

1. Install a compatible MCP client (like Claude Desktop). 2. Open your configuration settings. 3. Add awesome mcp security using the following command: npx @modelcontextprotocol/awesome-mcp-security 4. Restart the client and verify the new tools are active.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/awesome-mcp-security --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/awesome-mcp-security

Key Features

Native MCP Protocol Support
Real-time Tool Activation & Execution
Verified High-performance Implementation
Secure Resource & Context Handling

Optimized Use Cases

Extending AI models with custom local capabilities
Automating system workflows via natural language
Connecting external data sources to LLM context windows

awesome mcp security FAQ

Q

Is awesome mcp security safe?

Yes, awesome mcp security follows the standardized Model Context Protocol security patterns and only executes tools with explicit user-granted permissions.

Q

Is awesome mcp security up to date?

awesome mcp security is currently active in the registry with 672 stars on GitHub, indicating its reliability and community support.

Q

Are there any limits for awesome mcp security?

Usage limits depend on the specific implementation of the MCP server and your system resources. Refer to the official documentation below for technical details.

Official Documentation

View on GitHub
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Awesome MCP Security Awesome

Everything you need to know about Model Context Protocol (MCP) security.

Table of Contents

📔 Security Considerations

Official Security Considerations from the Official MCP Specification Rev: 2025-03-26

[!NOTE] 15.04.2025: The current MCP auth specification is in progress of being replaced by a more robust specification. Please join the conversation if you have concerns around the current auth specification.

  • Servers MUST:

    • Validate all tool inputs
    • Implement proper access controls
    • Rate limit tool invocations
    • Sanitize tool outputs

  • Clients SHOULD:

    • Prompt for user confirmation on sensitive operations
    • Show tool inputs to the user before calling the server, to avoid malicious or accidental data exfiltration
    • Validate tool results before passing to LLM
    • Implement timeouts for tool calls
    • Log tool usage for audit purposes

[!WARNING]
For trust & safety and security, clients MUST consider tool annotations to be untrusted unless they come from trusted servers.

[!WARNING]
For trust & safety and security, there SHOULD always be a human in the loop* with the ability to deny tool invocations.

Applications SHOULD:

  • Provide UI that makes clear which tools are being exposed to the AI model.
  • Insert clear visual indicators when tools are invoked.
  • Present confirmation prompts to the user for operations, to ensure a human is in the loop.

[!NOTE]
*Human-in-the-Loop (HITL) means that user help monitor and guide automated tasks, like deciding whether to accept tool requests in Cursor.

📃 Papers

📺 Videos

📕 Articles, X threads and Blog Posts

🧑‍🚀 Tools and code

💾 MCP Security Servers

💻 Other Useful Resources

😎 Contributing

👍🎉 First off, thanks for taking the time to contribute! 🎉👍

Please read and follow our contributing guide

Thanks! 🦄

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✔️ Disclaimer

This project can only be used for educational purposes. Using this resource against target systems without prior permission is illegal, and any damages from misuse of this software will not be the responsibility of the author.

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Manual Config

{ "mcpServers": { "awesome-mcp-security": { "command": "npx", "args": ["awesome-mcp-security"] } } }