A Model Context Protocol (MCP) server implementation that provides seamless integration with the AbuseIPDB API for IP reputation checking and abuse
A Model Context Protocol (MCP) server implementation that provides seamless integration with the AbuseIPDB API for IP reputation checking and abuse report
This MCP server enables AI assistants and automated systems to query AbuseIPDB's threat intelligence database, allowing you to check IP addresses for malicious activity, retrieve abuse confidence scores, and access detailed historical report data through a standardized protocol interface.
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{
"mcpServers": {
"abuseipdb": {
"command": "uv",
"args": [
"--directory",
"/absolute/path/to/mcp-abuseipdb",
"run",
"abusedb.py"
],
"env": {
"ABUSEIPDB_API_KEY": "YOUR_ABUSEIPDB_API_KEY"
}
}
}
}From the project documentation. Replace placeholders and example paths before connecting.
| Variable | Description | Required |
|---|---|---|
| ABUSEIPDB_API_KEY | Declared in the maintainer’s client configuration. | Check documentation |
Read, search and edit files inside allowed directories with the Model Context Protocol reference Filesystem server.
Retrieve version-aware library documentation and code examples with Context7 MCP, using resolve-library-id and query-docs.
This repo uses CAMEL AI to create mcp servers for various use cases
This repository contains multiple MCP (Model Context Protocol) server implementations for learning and experimentation.
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