"Material Design Icons" matching MCP servers:

Lets an agent load a design once into a long-lived OpenSTA session and then run static timing and power analysis through dedicated tools or arbitrary Tcl commands. Enables setup/hold slack, TNS/WNS, fmax, DRV, and power queries against the live session.

Kiln lets AI agents design, check, slice and print on your own 3D printers (Bambu Lab, Creality, Prusa, Elegoo, Klipper, OctoPrint, USB), with Git-style version history for every design. Open source (AGPL-3.0).

Resolves desktop and brand icons to local file paths for use in Waybar, Rofi, scripts, and AI agents via an MCP stdio server with tools for resolve, prefetch, cache, sources, packs, and overrides.

Enables local AI coding assistants to operate remote Linux EDA clusters over persistent SSH/SCP for digital IC design, simulation, formal property verification, UVM testbench generation, static linting, and Git-backed workspace synchronization.

Enables AI agents to design RF filters and SMPS-EMC from spec using three MCP servers that drive LTspice, Qucs-S, and scikit-rf, with closed-form synthesis, real-component optimization, and CISPR-aware compliance checking.

An encrypted credential vault for MCP clients that stores and uses sensitive material without exposing values to the model, enabling secure command execution, HTTP requests, and template rendering.

Enables asynchronous task delegation to local Antigravity and Codex CLI agents, with run IDs, status queries, waiting, cancellation, session resumption, and persistent background execution across client reconnects.

Enables AI agents to design and validate Cisco network topologies, generate IOS CLI configurations, deploy and configure devices live in Cisco Packet Tracer, and verify connectivity through pings and packet captures. It also supports building auto-graded Packet Tracer activities (.pka) for CCNA labs.

A terminal emulator MCP server specifically engineered for LLMs with block-oriented design that organizes command input/output into recognizable blocks and semantic session management. Enables AI to efficiently use terminals for writing code, installing software, and executing commands without context overflow.

Enables AI agents such as Claude Code, Cursor, and Codex to safely drive a locally installed Xilinx Vivado through 32 MCP tools spanning GUI/Tcl/attach sessions, synthesis, implementation, timing and CDC analysis, XDC/IO validation, IP inspection, VCD waveform queries, and device programming. It adds structured JSON timing evidence with baseline comparison, Chinese-language diagnostics for CRITICAL WARNINGs, environment self-checks, and evidence-driven workflow prompts that gate each FPGA design stage.