Electrical single-line and multi-line diagrams as JSON: build them, check them against NF C 15-100 / IEC 60364 rules, draw SVG/PDF, export wire lists and bills of materials. Hosted endpoint at https://mcp.uniwire.sh/mcp.
Model Context Protocol (MCP) server for Octopilot — enables AI agents to detect, generate, build, and wire up new repositories end-to-end using the Octopilot CI/CD toolchain.
MCP server for Blender that connects to the official Blender Lab add-on, exposing 27 tools for scene manipulation, object editing, materials, rendering, and Python execution through the add-on's actual wire protocol.
AI-powered MCP server that analyzes project structures to create optimized task architectures for mise, enabling intelligent task management, dependency mapping, and automated task suggestions.
MCP server for Checkpoint Harmony Email & Collaboration (Avanan). Enables AI assistants to manage email security, anti-phishing, anti-malware, and threat detection via the Avanan API.
A gateway MCP server for the Wise API that simplifies recipient management and money transfers. It enables listing recipients, creating new recipients, and sending money through the Wise platform with automated authentication.
Enables interaction with the Xero Accounting API to manage contacts, invoices, payments, accounts, and financial reports. It provides a suite of tools for natural language access to accounting records and business performance data.
An MCP server for Abnormal Security, enabling management of threat detection, email security cases, and AI-powered attack protection through Abnormal's API.
Enables AI agents to invoke a local Stata installation, including a Windows Stata build under Wine on Linux and macOS, for regression analysis, econometrics, paper replication, and empirical research with command guards, resource monitoring, and automatic log capture.
Enables AI assistants to create and edit layers, set attributes and keyframes, wire connections, render PNG previews, and save scenes in the 2D procedural motion-design application through typed, validated tools.
Enables any MCP-capable coding agent to gate code writing behind user-approved design checkpoints, asking for the user's own approach first and recording decisions, project maps, and progress in a local .vibe-wise/ folder. Code is only written once the user explicitly confirms an implementation checkpoint, with no account, backend, or telemetry required.
Enables programmatic control of a PNETLab network-emulation lab via natural language, allowing users to build topologies, wire links, push device configs, and boot the lab through an LLM agent.