Software Engineer based in Seattle. Passionate about sharing knowledge through open source.
I'm currently working on projects related to the Model Context Protocol (MCP), trying to build a better way for LLMs to interact with the world. I believe AI is an incredibly powerful tool and I'm hoping to make it more accessible and useful for everyone.
Project | Description |
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Contains practical guides, clients, and servers developed during the exploration of the Model Context Protocol (MCP). Serves as a learning resource and a collection of tools. | |
Provides ATLAS (Adaptive Task & Logic Automation System), a Neo4j-powered task management system for LLM Agents, using a three-tier architecture to manage complex workflows. Includes Deep Research scaffolding. | |
Offers platform-agnostic file system capabilities for AI agents via MCP, enabling file and directory management. Features advanced search/replace and directory traversal. | |
Enables LLMs to securely interact with Obsidian vaults via MCP, offering token-aware tools for managing notes. Facilitates seamless knowledge base management with Properties management. | |
Offers AI-powered mentorship via MCP using the Deepseek API, providing LLM agents with a 'second opinion'. Can be used for code review, design critique, writing feedback, and brainstorming. | |
Provides essential system utilities and tools for LLM agents via MCP. Features include IP geolocation, network diagnostics, system monitoring, cryptographic operations, and QR code generation. | |
Integrates with the GitHub API via MCP, providing a structured interface for LLM agents to manage repositories, issues, pull requests, code, files, and releases. | |
Provides an enterprise-ready MCP interface for Git operations, allowing LLMs to initialize, clone, branch, commit, and manage repositories via STDIO & Streamable HTTP. | |
Integrates with the ntfy.sh push notification service via MCP, enabling LLMs to send highly customizable notifications to external devices. | |
Unlocks Perplexity's search-augmented AI capabilities for your LLMs via MCP. Provides access to real-time web information with robust error handling and secure validation. | |
Connects AI agents to NCBI's PubMed and E-utilities via MCP, enabling search, retrieval, and analysis of biomedical literature. | |
Generates comprehensive capability reports for MCP servers, helping developers understand available functionality across their MCP ecosystem for documentation and integration. | |
Provides a beginner-friendly, production-ready template for building MCP servers and clients. Includes essential utilities, examples, and type safety for a solid starting point. |
Project | Description |
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This project generates LLM-enhanced summaries and analysis of software repositories. It provides developers insights into project structures, file purposes, and considerations across various languages. | |
This is a Firefox browser extension allowing users to disable or adjust the width of the sidebar on Claude.ai. It offers a customized interface. | |
This project is a collection of cross-platform, standalone TypeScript utility scripts. These scripts automate common development tasks like cleaning artifacts, generating structures, and managing dependencies. |
I'm open to software engineering roles in AI/LLM development and infrastructure, with experience in building LLM agents, MCP servers and general AI tools.
Available for:
- Full-time software engineering positions
- Contract work and consulting
- Custom MCP server development using my TypeScript template
Feel free to reach out - I'm always looking for ways to improve my skills and help others do the same.
If my open source work has benefited you, consider sending me some support.
- Website: caseyjhand.com
- Email: casey@caseyjhand.com
When we share knowledge, everyone benefits.