Casey Hand

A Model Context Protocol (MCP) server for ATLAS, a Neo4j-powered task management system for LLM Agents - implementing a three-tier architecture (Projects, Tasks, Knowledge) to manage complex workflows. Now with Deep Research.

Exploring the Model Context Protocol (MCP) through practical guides, clients, and servers I've built while learning about this new protocol.

Obsidian Knowledge-Management MCP (Model Context Protocol) server that enables AI agents and development tools to interact with an Obsidian vault. It provides a comprehensive suite of tools for reading, writing, searching, and managing notes, tags, and frontmatter, acting as a bridge to the Obsidian Local REST API plugin.

An MCP (Model Context Protocol) server enabling LLMs and AI agents to interact with Git repositories. Provides tools for comprehensive Git operations including clone, commit, branch, diff, log, status, push, pull, merge, rebase, worktree, tag management, and more, via the MCP standard. STDIO & HTTP.

A production-grade TypeScript template for building robust Model Context Protocol (MCP) servers, featuring built-in observability with OpenTelemetry, advanced error handling, comprehensive utilities, and a modular architecture.

A Model Context Protocol server providing LLM Agents a second opinion via AI-powered Deepseek-Reasoning R1 mentorship capabilities, including code review, design critique, writing feedback, and idea brainstorming through the Deepseek API.

A Model Context Protocol (MCP) server enabling AI agents to intelligently search, retrieve, and analyze biomedical literature from PubMed via NCBI E-utilities. Includes a research agent scaffold. STDIO & HTTP

Model Context Protocol server that enables AI agents to discover, create, and execute complex, multi-step workflows defined in simple YAML files. Allow your AI agents to better organize their tool usage and provide a more structured way to handle complex multi-step tasks.

A Model Context Protocol (MCP) Server providing LLM tools for the official ClinicalTrials.gov REST API. Search and retrieve clinical trial data, including study details and more

A Model Context Protocol (MCP) server for platform-agnostic file capabilities, including advanced search/replace and directory tree traversal

An MCP (Model Context Protocol) server designed to interact with the ntfy push notification service. It enables LLMs and AI agents to send notifications to your devices with extensive customization options.

A Model Context Protocol server providing LLM Agents with system utilities and tools, including IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation.

mcp-reporter is a streamlined utility that generates comprehensive capability reports for Model Context Protocol servers, empowering developers to easily understand available functionality across their MCP servers ecosystem for both documentation and integration into other tools.

The docwriter-mcp-server is an MCP server designed for the programmatic creation, modification, and compilation of structured LaTeX documents. It provides a suite of tools for an AI agent or other MCP clients to manage the lifecycle of a document on the local filesystem, from bootstrapping from a template to applying structured updates and compiling the final PDF output.