MCP AbuseIPDB Server
Provides threat intelligence lookups against the AbuseIPDB database, enabling IP reputation checks, CIDR block analysis, and log enrichment. It features intelligent caching and rate limiting to efficiently manage API usage for security analysis and automated workflows.
README
MCP AbuseIPDB Server
An MCP (Model Context Protocol) server that provides threat intelligence lookups against the AbuseIPDB database. This server enables any MCP-capable client to perform IP reputation checks, CIDR block analysis, and access curated blacklists with intelligent caching and rate limiting.
Features
- IP Reputation Checks: Single IP address lookups with detailed abuse data
- CIDR Block Analysis: Check entire network ranges for malicious activity
- Blacklist Access: Retrieve current AbuseIPDB blacklist with configurable confidence levels
- Bulk Operations: Check multiple IP addresses efficiently
- Log Enrichment: Extract and analyze IP addresses from log lines
- Intelligent Caching: SQLite-based caching with TTL to minimize API usage
- Rate Limiting: Built-in quota management for AbuseIPDB API limits
- Security Focused: Input validation, private IP filtering, and secure defaults
Quick Start
Prerequisites
- Python 3.11 or higher
- AbuseIPDB API key (get one at abuseipdb.com)
Installation
- Clone the repository:
git clone <repository-url>
cd AbuseIPDB-MCP
- Install the package:
pip install -e .
- Set up your environment:
cp .env.example .env
# Edit .env and add your ABUSEIPDB_API_KEY
- Run the server:
python -m mcp_abuseipdb.server
MCP Client Configuration
Option 1: Using the Enhanced Startup Script (Recommended)
Add to your MCP client configuration (e.g., mcp.json):
{
"mcpServers": {
"mcp-abuseipdb": {
"command": "python",
"args": ["scripts/start_mcp_server.py"],
"cwd": "/path/to/AbuseIPDB-MCP",
"env": {
"ABUSEIPDB_API_KEY": "your_api_key_here"
}
}
}
}
Option 2: Direct Module Execution
{
"mcpServers": {
"mcp-abuseipdb": {
"command": "python",
"args": ["-m", "mcp_abuseipdb.server"],
"cwd": "/path/to/AbuseIPDB-MCP",
"env": {
"ABUSEIPDB_API_KEY": "your_api_key_here"
}
}
}
}
Important Notes:
- Replace
your_api_key_herewith your actual AbuseIPDB API key - Update
/path/to/AbuseIPDB-MCPto the actual path where you cloned this repository - The enhanced startup script (Option 1) provides better error diagnostics
- Ensure your API key is valid and not expired on the AbuseIPDB website
Available Tools
check_ip
Check the reputation of a single IP address.
Parameters:
ip_address(required): IP address to checkmax_age_days(optional): Maximum age of reports (default: 30)verbose(optional): Include detailed reports (default: false)threshold(optional): Confidence threshold for flagging (default: 75)
check_block
Check the reputation of a CIDR network block.
Parameters:
network(required): CIDR network (e.g., "192.168.1.0/24")max_age_days(optional): Maximum age of reports (default: 30)
get_blacklist
Retrieve the AbuseIPDB blacklist.
Parameters:
confidence_minimum(optional): Minimum confidence level (default: 90)limit(optional): Maximum entries to retrieve
bulk_check
Check multiple IP addresses efficiently.
Parameters:
ip_addresses(required): List of IP addressesmax_age_days(optional): Maximum age of reports (default: 30)threshold(optional): Confidence threshold for flagging (default: 75)
enrich_log_line
Extract and analyze IP addresses from log entries.
Parameters:
log_line(required): Log line containing IP addressesthreshold(optional): Confidence threshold for flagging (default: 75)max_age_days(optional): Maximum age of reports (default: 30)
Available Resources
cache://info
Get current cache statistics and rate limiter status.
doc://usage
Complete API usage documentation and examples.
Available Prompts
triage_ip
Generate security analyst triage notes for an IP address.
Parameters:
ip_data(required): IP check data from AbuseIPDB
Configuration
All configuration is done via environment variables. Copy .env.example to .env and customize:
Required Settings
ABUSEIPDB_API_KEY: Your AbuseIPDB API key
Optional Settings
MAX_AGE_DAYS: Default report age limit (default: 30)CONFIDENCE_THRESHOLD: Default confidence threshold (default: 75)DAILY_QUOTA: API request quota (default: 1000)CACHE_DB_PATH: SQLite cache file location (default: ./cache.db)LOG_LEVEL: Logging level (default: INFO)ALLOW_PRIVATE_IPS: Allow checking private IPs (default: false)
Usage Examples
Basic IP Check
Check the reputation of 8.8.8.8
Log Analysis
Analyze this log line for threats:
192.168.1.100 - - [10/Jan/2024:10:00:00 +0000] "GET /admin/login.php HTTP/1.1" 200 1234
Bulk Analysis
Check these IPs for malicious activity:
- 203.0.113.100
- 198.51.100.50
- 192.0.2.25
Security Investigation
I'm investigating suspicious activity from 203.0.113.100. Can you:
1. Check its reputation with detailed reports
2. Analyze the surrounding network block
3. Generate triage notes for our security team
See examples/queries.md for more detailed examples.
Docker Deployment
Build and run with Docker:
# Build the image
docker build -f docker/Dockerfile -t mcp-abuseipdb .
# Run the container
docker run -e ABUSEIPDB_API_KEY=your_key_here mcp-abuseipdb
Development
Setup Development Environment
pip install -e ".[dev]"
pre-commit install
Run Tests
pytest
Security Considerations
- API Key Protection: Never commit API keys to version control
- Private IP Filtering: Private IPs are blocked by default
- Rate Limiting: Built-in quota management prevents API abuse
- Input Validation: All inputs are validated and sanitized
- Caching: Reduces API calls and improves performance
Rate Limits
AbuseIPDB free tier provides 1,000 requests per day. This server:
- Implements intelligent caching to minimize API usage
- Provides rate limiting with configurable quotas
- Gracefully handles rate limit errors with backoff
Troubleshooting
"Unauthorized API key" Error in Claude App
If you're getting unauthorized API key errors when using the MCP server with Claude:
-
Verify API Key Configuration:
# Test your API key with the diagnostic script python diagnostics/api_auth_diagnostic.py -
Check Claude App Configuration:
- Ensure your
mcp.jsonhas the correct API key in theenvsection - Verify the
cwdpath points to your project directory - Make sure the API key value matches exactly (no extra spaces)
- Ensure your
-
Use Enhanced Startup Script:
- Switch to Option 1 configuration (enhanced startup script)
- Check the server logs in Claude app for diagnostic messages
- Look for
[MCP AbuseIPDB]prefixed messages
-
Environment Variable Issues:
- Ensure your
.envfile is in the project root directory - Verify the API key in
.envmatches your Claude app configuration - Check that the API key is valid on the AbuseIPDB website
- Ensure your
-
Debug Steps:
# Test local server startup python scripts/start_mcp_server.py # Check environment loading python -c "from mcp_abuseipdb.settings import Settings; print('API key loaded:', bool(Settings().abuseipdb_api_key))"
Common Issues
- "No .env file found": Make sure
.envexists in project root or set API key in Claude app config - "Settings API key: EMPTY": API key not properly loaded from environment
- "Environment var: EMPTY": API key not set in Claude app MCP configuration
- Connection timeouts: Check your internet connection and AbuseIPDB service status
Contributing
- Fork the repository
- Create a feature branch
- Make your changes with tests
- Run the test suite and linting
- Submit a pull request
License
MIT License — see LICENSE for details.
Support
- Documentation: See
examples/directory - Issues: Please report bugs and feature requests via GitHub issues
- API Documentation: AbuseIPDB API Docs
Changelog
v0.1.0
- Initial release
- Basic IP checking functionality
- CIDR block analysis
- Blacklist access
- Bulk operations
- Log enrichment
- Caching and rate limiting
- Docker support
推荐服务器
Baidu Map
百度地图核心API现已全面兼容MCP协议,是国内首家兼容MCP协议的地图服务商。
Playwright MCP Server
一个模型上下文协议服务器,它使大型语言模型能够通过结构化的可访问性快照与网页进行交互,而无需视觉模型或屏幕截图。
Magic Component Platform (MCP)
一个由人工智能驱动的工具,可以从自然语言描述生成现代化的用户界面组件,并与流行的集成开发环境(IDE)集成,从而简化用户界面开发流程。
Audiense Insights MCP Server
通过模型上下文协议启用与 Audiense Insights 账户的交互,从而促进营销洞察和受众数据的提取和分析,包括人口统计信息、行为和影响者互动。
VeyraX
一个单一的 MCP 工具,连接你所有喜爱的工具:Gmail、日历以及其他 40 多个工具。
graphlit-mcp-server
模型上下文协议 (MCP) 服务器实现了 MCP 客户端与 Graphlit 服务之间的集成。 除了网络爬取之外,还可以将任何内容(从 Slack 到 Gmail 再到播客订阅源)导入到 Graphlit 项目中,然后从 MCP 客户端检索相关内容。
Kagi MCP Server
一个 MCP 服务器,集成了 Kagi 搜索功能和 Claude AI,使 Claude 能够在回答需要最新信息的问题时执行实时网络搜索。
e2b-mcp-server
使用 MCP 通过 e2b 运行代码。
Neon MCP Server
用于与 Neon 管理 API 和数据库交互的 MCP 服务器
Exa MCP Server
模型上下文协议(MCP)服务器允许像 Claude 这样的 AI 助手使用 Exa AI 搜索 API 进行网络搜索。这种设置允许 AI 模型以安全和受控的方式获取实时的网络信息。