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Puliczek

awesome mcp security

Built by Puliczek • 672 stars

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What is awesome mcp security?

A high-performance MCP server implementation for awesome-mcp-security that bridges the gap between the Model Context Protocol and external services. It allows Large Language Models to interact with your data and tools with low latency and native support.

How to use awesome mcp security?

1. Ensure you have an MCP-compatible client (like Claude Desktop) installed. 2. Configure your server with: npx @modelcontextprotocol/awesome-mcp-security 3. Restart your client and verify the new tools are available in the system catalog.
🛡️ Scoped (Restricted)
npx @modelcontextprotocol/awesome-mcp-security --scope restricted
🔓 Unrestricted Access
npx @modelcontextprotocol/awesome-mcp-security

Key Features

Native MCP Protocol Support
High-performance Data Streaming
Type-safe Tool Definitions
Seamless Environment Integration

Optimized Use Cases

Connecting external databases to AI workflows
Automating workflow tasks via natural language
Augmenting developer productivity with specialized tools

awesome mcp security FAQ

Q

What is an MCP server?

MCP is an open standard that enables developers to build secure, two-way integrations between AI models and local or remote data sources.

Q

Is this server ready for production?

Yes, this server follows standard MCP security patterns and tool-restricted access.

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! 🦄

🤝 Show your support

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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.

Global Ranking

6.6
Trust ScoreMCPHub Index

Based on codebase health & activity.

Manual Config

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