Mirror of https://github.com/varunneal/spotify-mcp

Lightweight Notion todo manager enabling Claude-driven prompts with a minimalist three-property schema for simple add/view/complete tasks.

Lightweight proxy enabling Claude Desktop to connect SSE-based backends via a transparent transport bridge.

Self-hosted MCP server enabling LLMs to securely access local Home Assistant data via token-based MCP, with Smithery and manual setup.

Unifies LinkedIn feeds and job data via an unofficial API for programmable, seamless access.

Multi-language MCP server that builds dependency graphs, infers architectures, and scores codebases with detailed file metadata.

Vector-powered documentation search with multi-source indexing and real-time context augmentation for AI assistants.

Downloads and parses Substack posts, extracting title, author, subtitle, and content, with Claude AI desktop integration.

OR-Tools-powered JSON modeling enables LLMs to submit, validate, and optimize constraints with CP-SAT integration.

Parses XMind mind maps and exposes a flexible toolset for multi-file analysis, advanced search, task extraction, and cross-file comparisons. It emphasizes secure directory access, fuzzy matching, and hierarchical navigation to empower developers and data scientists building knowledge graphs from mind maps. Designed for scalable workloads and MCP SDK integration.

Interact with Tinybird workspaces via MCP to query data sources, run endpoints, and push datafiles with Claude integration.

Downloads YouTube subtitles with yt-dlp and connects to Claude via Model Context Protocol for quick AI-assisted video insights.

Feature-rich, MiniZinc-powered constraint workflow enabling dynamic modeling, asynchronous solving, and knowledge retention through a memo system for AI-assisted reasoning.

Dice-rolling tool for LLMs that parses standard notation, returns detailed rolls and totals, with Claude Desktop integration.

Read-only MCP server delivering Bybit market data and instrument details via MCP for safe, model-driven queries.

Direct Claude integration to access OpenAI chat models with a simple message interface.

A bridge between YouTube API and AI assistants enabling caption download and video summary generation.

Lightweight bidirectional protocol proxy with YAML logging for testing and troubleshooting data flows.

CLI-driven broker enabling discovery, installation, and secure orchestration of MCP components via Docker-based isolation.

Powerful MCP server for managing and serving programming guidelines with markdown rules, flexible storage, and category-based organization.

Summarizes chat messages with queryable results; supports prompts, local chat.db, and Claude Desktop integration for quick deployment.

A comprehensive CLI to organize Claude App components with discovery, auto-install, and interactive configuration for streamlined setup.

Modular, plugin-driven Python toolkit to orchestrate context-aware workflows with clean integration and scalable inter-component communication.

Spinnaker-integrated AI-driven deployment decisions with proactive remediation and context-aware automation.