"NEC" matching MCP servers:

Design and simulate wire antennas using the NEC2 method-of-moments solver via MCP. Supports dipole, Yagi-Uda, vertical, loop, and inverted-V geometries with pattern, impedance, and VSWR analysis.

An MCP server that provides seamless integration with the Neo N3 blockchain, allowing Claude to interact with blockchain data, manage wallets, transfer assets, and invoke smart contracts.

It enables AI agents to inspect and drive a cycle-accurate Intel 8080 and CP/M 2.2 emulator through JSON-RPC tools for register inspection, cycle stepping, breakpoints, memory dumps, and assembly loading.

Enables coding agents to perform file, search, patch, git, process, test, package, network, and system operations through 60 typed MCP tools with structured inputs/outputs, structured errors, and a full event journal, replacing terminal use with a typed machine API.

MCP server connecting Claude Code with E2B cloud sandboxes for working on any GitHub repo.

Build agent skills where you work — write a script, add a SKILL.md, and use it in Claude Code/codex/Cursor immediately. The same fixed entry point that runs locally deploys to production without a rewrite.

A local MCP server that enables users to evaluate Pharo Smalltalk expressions and retrieve system information via NeoConsole. It provides comprehensive tools for inspecting class definitions, method sources, and system metrics within a Pharo environment.

MCP server for TestNeo quality workflows, enabling test generation, execution, and analysis through MCP-compatible IDE clients.

A bridge that enables Claude Code to interact with local Ollama instances for text generation, multi-turn chat, and vision-based analysis. It supports model management tasks such as listing, pulling, and showing details, alongside generating text embeddings.

An MCP server that enables AI to connect and manage Jupyter Notebooks in real-time, with support for cell operations, execution, and multimodal outputs.

Exposes a single execute tool so agents can discover, inspect schemas for, and compose calls to connected upstream MCP servers by writing JavaScript that runs in a fresh sandboxed QuickJS VM. Results from combined tool calls are returned as text or JSON, keeping large tool catalogs out of the agent's context.

Enables an AI coding agent to take a research paper from arXiv, record its claims, build and run an implementation, measure the results, and receive a verdict for each claim. Every action is kept in a hash-chained evidence log, so the generated code folder and reproduction report can be checked without trusting the agent.