"Juniper Networks" matching MCP servers:

Enables RF and microwave engineers — or any MCP client — to convert impedances, analyze transmission lines and ladder circuits, synthesize L/Pi/T/stub/quarter-wave matching networks, and evaluate transistor S-parameters, stability, gain and noise circles. It also renders publication-quality Smith charts and returns human-readable summaries in English or Turkish over stdio or Streamable HTTP.

Render hierarchical system diagrams as PNGs from YAML definitions using a four-level ontology of networks, factories, machines, and nodes.

Exposes NeuroGraph's scientific API to AI models as MCP tools, enabling them to query, analyze, and visualize brain networks — regions, tracts, connectivity, literature, and cross-species homologies — drawn from a portable SSD-based neuroimaging data library. Lets models read real atlas data, load datasets, compute graph metrics, and produce visualization scene descriptors without acting as the scientific engine itself.

Comprehensive Model Context Protocol server for advanced graph analysis using NetworkX, enabling graph creation, manipulation, and algorithm execution through natural language.

MCP server that enables Claude to model and simulate electrical distribution networks (MV/LV) using OpenDSS, including power flow, short-circuit, contingency analysis, and single-line diagram generation.

An embedded MCP server for Cytoscape Desktop that lets AI agents load networks, set active views, and control the desktop application over HTTP.

Enables AI agents to read and manipulate networks, tables, visual styles, and more in a live Cytoscape Web session through natural language, by connecting over Chrome DevTools Protocol.

Enables AI clients to design and analyze microwave impedance-matching networks through MCP tools for L/T/π topologies, Smith chart trajectories, bandwidth, voltage stress, topology comparison, validation, knowledge lookup, and report export.