kavach-mcp 0.1.7

Security middleware for Model Context Protocol (MCP) that detects and blocks malicious tool calls

Kavach - MCP Security Middleware

Security middleware for Model Context Protocol (MCP) that detects and blocks malicious tool calls using pattern-based rule scanning.

Built by Shivam Namdeo | PyPI Package | Use Cases

Quick Start

# Create and activate virtual environment
python3 -m venv venv
source venv/bin/activate

# Run the example
cd example
python3 app.py

Architecture

Core Components:

• middleware.py - KavachMiddleware: Main entry point. Processes tool calls and returns allow/block decisions.
• engine.py - DetectionEngine: Scans text against rules and collects violations.
• rules.py - KAVACH_RULES: Rule definitions for detecting prompt injection, PII, API keys, etc.
• types.py - Rule: Data class defining rule structure (id, name, severity, patterns).

How It Works

Sync: Content-based Blocking

from kavach import KavachMiddleware

middleware = KavachMiddleware()

# Process any tool call
result = middleware.process({
    "tool": "aws.s3",
    "access_key": "AKIAIOSFODNN7EXAMPLE"
})

# Returns: {"allowed": False, "violations": [...]}

Async: FastMCP Middleware Integration

from fastmcp import FastMCP
from kavach import KavachMiddleware

mcp = FastMCP("my-server")
mcp.add_middleware(
    KavachMiddleware(
        sensitive_tools=[
            "filesystem.delete",
            "aws.*",           # wildcard patterns
            "database.execute"
        ]
    )
)

Flow:

1. Tool call intercepted by on_call_tool() middleware hook
2. Tool name matched against sensitive_tools patterns
3. If matched, DetectionEngine scans arguments against rules
4. If violations found and strict mode enabled → raises SecurityException
5. Otherwise → chain to next middleware

Rules

Detects:

• Prompt Injection - "ignore previous instructions", "override instructions"
• Secret Leakage - AWS keys (AKIA...), OpenAI keys (sk-...)
• PII - 10/16 digit sequences

Add custom rules in rules.py:

Rule(
    id="custom-rule",
    name="Rule Name",
    severity="high",
    patterns=[re.compile(r"pattern")]
)

Usage

Option 1: Default Rules Only

middleware = KavachMiddleware()

Option 2: Extend Defaults with Custom Rules

from kavach.types import Rule
import re

custom_rules = [
    Rule(
        id="custom-ban",
        name="Custom Ban",
        severity="high",
        description="Ban specific phrases",
        patterns=[re.compile(r"dangerous\s+action", re.I)]
    )
]

middleware = KavachMiddleware(
    rules=custom_rules,
    extend_rules=True  # Merge with KAVACH_RULES (default)
)

Option 3: Replace Defaults with Custom Rules

middleware = KavachMiddleware(
    rules=custom_rules,
    extend_rules=False  # Use ONLY custom rules
)

Option 4: Control Tool Access

# Allow violations in non-sensitive tools
middleware = KavachMiddleware(strict=False)

# Protect specific tools
middleware = KavachMiddleware(
    sensitive_tools=["filesystem.delete", "aws.s3.delete_bucket"]
)

Project Structure

kavach-mcp-middleware/
├── kavach/
│   ├── __init__.py       # Package exports
│   ├── middleware.py     # Main middleware class
│   ├── engine.py         # Detection logic
│   ├── rules.py          # Security rules
│   └── types.py          # Data classes
└── example/
    └── app.py            # Example usage

API Reference

KavachMiddleware.__init__()

Parameter	Type	Default	Description
rules	List[Rule]	KAVACH_RULES	Custom detection rules
strict	bool	True	Raise exception (True) or return blocked result (False)
sensitive_tools	List[str]	[]	Tools to protect (exact match or wildcard patterns)
extend_rules	bool	True	Merge custom rules with defaults (True) or replace (False)

Methods

• process(tool_call: dict) - Sync content scanning. Returns {"allowed": bool, ...}
• async on_call_tool(context, call_next) - FastMCP async middleware hook
• register_tool(tool_name: str) - Add tool to sensitive_tools at runtime

Contributing

We'd love to get more features and improvements! Please feel free to:

• Add new detection rules in kavach/rules.py
• Improve the detection engine in kavach/engine.py
• Submit bug fixes and enhancements via pull requests
• Suggest new security patterns to detect

All contributions are welcome! 🚀