Go-based modular context server with plugin-friendly architecture and lightweight Go-native interfaces.

Automates installation, configuration, monitoring, and recovery for multiple protocol deployments using templates and centralized control.

A focused test bed for integrating Claude with Model Context Protocol, showcasing basic MCP handshakes, request/response flows, and compatibility testing.

Lightweight, extensible MCP server scaffold enabling structured context exchange for GitHub workflows.

Lightweight utility for safe, non-destructive config fixes with dry-run support and a modular plugin system.

A scalable MCP server enabling secure context sharing and modular backends for efficient LLM collaboration.

A Claude Desktop-powered data exploration assistant with CSV loading, scripting, and templates for interactive data insights.

Backs up Cloudflare projects to a GitHub repository via automated workflows, with Smithery or manual setup; backup logic is currently a placeholder.

A lightweight tool enabling saving datasets and rendering Vega-Lite visualizations via an LLM-friendly interface with text or PNG outputs.

Demo showcasing multiple JSON document databases with CRUD, cloud sharing, and Claude Desktop integration via Fireproof.

AppleScript-based MR reviewer leveraging Claude AI for ADR-style feedback and automatic GitLab posting.

Rubbish placeholder MCP client with boilerplate to start building your own MCP client.

TypeScript-based notes backend with URI-resolved resources, a create_note tool, and summarize_notes prompts.

TypeScript-powered notes toolkit with URI-backed resources, URL fetch (puppeteer or axios), DuckDuckGo search, and embedded note summarization.

DocBase integration enhancing context workflows with post search, Claude Desktop config, and robust development tools.

A practical developer guide to integrating Claude with a standard JSON-RPC protocol, tools, and desktop configuration for seamless data access.

Open, TypeScript-based middleware that standardizes connecting LLMs with local data sources and tools via a shared protocol, featuring easy builds and Claude Desktop compatibility.

Lightweight Python solution for scalable context provisioning with pluggable data sources and real-time model integration.

Deep Jira Cloud integration with REST API, resource-based access via jira:// URIs, rich JSON data, and built-in analysis prompts for configuration and workflows.

Python-based MCP search tool focused on discoverability and metadata indexing across multiple MCP implementations.

Lightweight, dice-rolling service with fast per-request results and a clean JSON API for desktop automation.

Python-based MCP proxy bridging LLM services with JetBrains IDEs via MCP protocol.

TypeScript-based modular framework enabling model-context workflows with extensible plugins and developer-friendly tooling.

A lightweight toolkit that auto-generates context-driven components with type-safe bindings and plugin support, accelerating integration and reducing boilerplate.