"Zenn" matching MCP servers:

An unofficial Model Context Protocol server for Zenn that enables fetching articles and books from the Zenn platform through its API.

locidx

Enables course planning for University of Pennsylvania by searching the catalog, inspecting sections and ratings, detecting schedule conflicts, and building weekly schedules.

MCP server that enables AI assistants to debug IoT modules by sending AT commands over serial ports, with a built-in knowledge base for chip platform commands.

Enables AI assistants and developers to analyze code for language-specific best practices and idiomatic patterns across programming languages, CI automation, and configuration formats.

Provides access to U.S. Energy Information Administration (EIA) data, covering electricity grid operations, retail sales, and natural gas production metrics. It enables natural language querying of energy market statistics, infrastructure profiles, and real-time balancing authority data.

Enables natural language control of test instruments like spectrum analyzers and power supplies via SCPI commands, with auto-discovery and multi-instrument session support.

Enables geospatial analysis by chaining MCP tools that resolve areas, select datasets, pull statistics, and generate insights, with session state passing data between tools.

Enables AI agents to query airport information and calculate Great Circle distances between global airports using IATA codes, following the FFP industry standard in statute miles.

An orchestration server that enables AI agents to collaborate across multiple AI models for advanced code analysis, debugging, and development workflows. It maintains context persistence across sessions, allowing agents like Claude to delegate subtasks to other models like Gemini or O3 seamlessly.

Orchestrates multiple AI models (Gemini, OpenAI, Claude, local models) within a single conversation context, enabling collaborative workflows like multi-model code reviews, consensus building, and CLI-to-CLI bridging for specialized tasks.

Provides access to USDA FoodData Central database, enabling food search, nutrition details, and comparison for dietary analysis via MCP.

Enables AI agents to create and interact with ASCII-based Zen gardens through tools for raking sand, placing stones, and practicing digital meditation. It provides resources for random Zen koans and generates meditation guides based on the current garden state.

Enables AI assistants like Claude to interact with Trello boards through natural language, supporting board operations including card management, list manipulation, attachments, labels, comments, checklists, and daily workflow automation.