"Maps" matching MCP servers:

Enables MCP clients to control QGIS by executing PyQGIS commands, managing layers and projects, exporting maps, and running Processing algorithms through either a GUI plugin or a headless Python process.

MCP server for the RETICOLO V10 rigorous coupled-wave analysis solver, enabling agents to compute RCWA spectra, convergence scans, and field maps via MATLAB Engine API without launching the MATLAB desktop.

A meta-server that aggregates multiple MCP servers into a single interface, reducing token usage by 98%+ through progressive tool discovery and direct code execution that processes data between tools without consuming context window space.

A server implementation demonstrating how AI models can interact with external tools and services through Model Context Protocol, featuring integrations for calculator functions, GitHub repositories, and Google Maps searches.

Enables Claude to work with QGIS 4.x headlessly by loading vector and raster layers, running Processing algorithms and field calculations, styling layers, and exporting maps or PDF layouts without opening QGIS Desktop.

Enables LLMs to securely execute code and manage reusable tools using Riza's isolated code interpreter API.

The AIGC solution based on the MCP protocol seamlessly transforms the ComfyUI workflow into an MCP Tool with zero code, enabling LLMS and ComfyUI to join forces and focus on image generation tasks. qwen-image, flux, and FLUx-KREA can be used for image generation.

Enables security researchers to perform network scanning, binary analysis, string extraction, and live packet capture by exposing Kali Linux tools such as Nmap, nm, objdump, strings, and tshark through MCP. It also supports sandboxed Docker command execution with configurable memory, CPU, network, timeout, and file-transfer options.