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kasra-mcp

by yuanjianking
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kasra-mcp

Kasra MCP Server — local code review via the Model Context Protocol.

Reads files on your machine and sends them to the Kasra API for security scanning. Designed to work with AI tools like Claude Desktop, Cursor, Claude Code, and any MCP-compatible client.

Install

pip install kasra-mcp

Requires Python 3.11+.

Related MCP server: Codebase MCP Server

Quick Start

# Verify installation
python3 -m kasra_mcp.server --help

The server connects to a Kasra API instance (default: http://localhost:8090).

Configuration

Environment variables:

Variable

Default

Description

KASRA_API_URL

http://localhost:8090

Kasra API base URL

KASRA_API_KEY

""

API key for authentication

Tools

kasra_scan_file

Scan a file or directory for security vulnerabilities.

Parameter

Type

Description

path

string

Path to a file or directory to scan

Supports both single files and directories. Ignores common non-source files (images, binaries, .git, node_modules, etc.).

kasra_get_rules

List all loaded security rules.

Parameter

Type

Description

severity

string?

Filter by severity (P0, P1, P2)

enabled_only

boolean?

Only return enabled rules

health

Check the Kasra API connection and engine status.

Integration with AI Tools

Claude Desktop

{
  "mcpServers": {
    "kasra": {
      "command": "python3",
      "args": ["-m", "kasra_mcp.server"],
      "env": {
        "KASRA_API_URL": "http://localhost:8090",
        "KASRA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Paste this into ~/Library/Application Support/Claude/claude_desktop_config.json (macOS) or %APPDATA%\Claude\claude_desktop_config.json (Windows).

Cursor

{
  "mcpServers": {
    "kasra": {
      "command": "python3",
      "args": ["-m", "kasra_mcp.server"],
      "env": {
        "KASRA_API_URL": "http://localhost:8090",
        "KASRA_API_KEY": "your-api-key-here"
      }
    }
  }
}

Claude Code

{
  "mcpServers": {
    "kasra": {
      "command": "python3",
      "args": ["-m", "kasra_mcp.server"],
      "env": {
        "KASRA_API_URL": "http://localhost:8090",
        "KASRA_API_KEY": "your-api-key-here"
      }
    }
  }
}

How it works


 Claude Desktop / Cursor / Claude Code
        │
        │  stdio (JSON-RPC over stdin/stdout)
        ▼
 ┌─────────────────┐        POST /v1/scan/file     ┌────────────────┐
 │   kasra-mcp     │ ─────────────────────────────→ │  Kasra API     │
 │                 │        POST /v1/rules/export   │  (Docker)      │
 │  reads local    │ ←───────────────────────────── │  193 rules     │
 │  file content   │        findings + results      │  CR scanning    │
 └─────────────────┘                                └────────────────┘

  1. Claude Desktop starts kasra-mcp as a subprocess (stdio transport)

  2. When the user asks to scan a file, Claude calls kasra_scan_file with a path

  3. kasra-mcp reads the file content from local disk

  4. Sends the content to the Kasra API via POST /v1/scan/file

  5. Kasra API runs 83 code review rules, returns findings

  6. kasra-mcp returns the results to Claude

The MCP server never stores your code — it reads, sends, and discards.

Development

git clone <repo>
cd kasra-mcp
pip install -e .
python3 -m kasra_mcp.server
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