ChannelTerm is an open-source MCP server that enables humans and AI agents to share live serial and SSH terminal sessions for embedded systems development and debugging. It allows AI agents to read device output, execute commands, assist with GDB debugging, and transfer files while keeping developers in control.

Enables MCP clients to drive the 4NEC2 NEC-2 engine for natural-language antenna modeling and simulation, including building Yagi models, calculating impedance/SWR/gain/front-to-back ratio, sweeping frequency, parsing .out files, optimizing geometry, and generating pattern/sweep plots.

Enables MCP clients to inspect local Git repositories through five focused, read-only tools for repository trees, literal text search, numbered file reads, bounded git diffs, and project summaries while confining paths, skipping secret-like and binary files, and enforcing output limits.

A zero-dependency MCP suite exposing computational tools across metabolic, cardio-renal, chronobiology, neuro-recovery, and biomechanics domains. It enables clients to derive longevity and physiology metrics such as autophagy index, glucose-ketone ratio, glycemic variability, peripheral resistance, nocturnal BP dipping, DLMO clock time, melanopic lux, caffeine clearance, EEG fatigue entropy, and grip vitality age from user-supplied measurements.

Exposes MCP tools that compute longevity and metabolic metrics (autophagy index, GKI, MAGE), cardio-renal biomarkers (BUN/creatinine ratio, cardiac output and TPR, nocturnal BP dipping), chronobiology estimates (DLMO, melanopic lux, caffeine clearance), plus neuro-recovery and biomechanics scores. Runs as a zero-dependency Python JSON-RPC 2.0 stdio server so any MCP-compatible client can query these physiological domain calculators.

Enables Claude and other MCP clients to search finn.no and create, manage, and publish Torget ads from photos — preparing images (EXIF/GPS stripping, resize, HEIC), writing titles and Norwegian descriptions, suggesting category and market price, checking for duplicates, and publishing only after explicit confirmation. Read-only search, listing details, saved-search diffs, and management of your own ads are also supported through a locally stored logged-in session.

Supercharge your AI agents by versioning, tracking, and merging overlapping skills.

Enables agents and CLI users to drive their locally installed Google Chrome through a dedicated persistent profile over the DevTools Protocol, so they can navigate open HTTP/HTTPS sites, manage tabs, and inspect pages while keeping existing sign-ins and cookies.

Enables creating, inspecting, and stopping Google Colab sessions, executing Python code or files, retrieving session URLs, and reading logs through the local Colab CLI.

Enables AI clients to create, configure, validate, and generate STM32CubeMX projects through 113 MCP tools, including pin, clock, peripheral, RTOS, and middleware setup plus C code generation. It can drive an installed CubeMX engine or run fully standalone using a bundled data pack with real pin and mode validation.

Enables AI clients to create, preview, and retrieve shipping drafts through a same-computer API and export CSV data for Yu-Pack Print R import. It does not issue official labels or perform printing.

Claude Design: AI UI/UX architect. Screenshot to React, Figma components, Tailwind CSS generator. Prototyping agent, design systems, wireframe renderer. SVG icon creator, dark mode toggle, responsive layout tool. Front-end code export, shadcn/ui integration, vector assets, branding assistant.

CoexistAI is a modular, developer-friendly research assistant framework . It enables you to build, search, summarize, and automate research workflows using LLMs, web search, Reddit, YouTube, and mapping tools—all with simple MCP tool calls or API calls or Python functions.

The Human Ad Network. Campaigns, clipping, and Clip Studio from chat.

Google search results, forum threads, local and shopping data, keyword ideas, AI answer tracking.