chohyerinn/filter-mcp-server

What it does

This MCP (Model Context Protocol) server provides tools for comparing and analyzing approximate filter data structures. It supports multiple filter types including Bloom filters, Counting Bloom filters, Cuckoo filters, and SuRF (Succinct Range Filters). The server enables AI assistants like Claude to interact with and evaluate these probabilistic data structures through a standardized protocol.

How to set up

Installation requires Python and can be set up via MCP configuration. Clone the repository from GitHub, install dependencies using pip, and configure it as an MCP server in your AI assistant's settings. Detailed setup instructions are available in the project's GitHub repository documentation.

Key features

• Support for multiple filter types (Bloom, Counting Bloom, Cuckoo, SuRF)
• Comparison and benchmarking capabilities
• MCP protocol integration for AI assistant compatibility
• Python-based implementation
• Open-source and community-maintained