An ML engineering plugin for your coding agents.

Bring Your Own Browser — let your AI agent use the Chrome you already have open

A curated collection of ready-to-run automation prompts for real-world workflows.

Native Safari browser automation for AI agents. 97 tools via AppleScript — zero overhead, keeps logins, runs silently in background. Drop-in alternative to Chrome DevTools MCP with 40-60% less CPU/heat on Apple Silicon.

Knowhere extracts, parses, and outputs structured chunks ready for AI Agents and RAG.

Self-hosted memory server for AI agents. Your brain is a git repo, served over MCP and REST.

See how you really use AI — X-ray your AI coding sessions locally

All in one plugin for Hermes Agent ⚚ the coding intelligence, a long-term memory system and model optimized workflow packages

A third-party Perplexity MCP/REST API implementation that leverages Pro account Pool to provide unlimited quota for ask and deep search capabilities.

Unified execution environment for Python code, shell commands, and programmatic MCP tool calls.

Privacy-conscious Apple Health export analyzer with bilingual health and multi-sport training reports

MCP server for real-time world news — free, no API key required

Use cultivar to test your Agent Skills, run them in sandboxes, and across different agents.

Curated list of AutoResearch use cases with optimization traces and open source implementations

MaverickMCP - Personal Stock Analysis MCP Server

All my YouTube tutorials. Everything here is free - but please follow me on YouTube if you find these helpful.

Model Context Protocol (MCP) Server for Graphlit Platform

LLM-powered OpenFOAM MCP server for intelligent CFD education with Socratic questioning and expert error resolution

💼 One MCP server to search job boards and company career sites

The theory of LLM wikis, running as one. A framework for agent-operated knowledge: typed, linked, review-gated markdown your agents execute.

A headless browser for AI agents that fetches modern web pages, runs JavaScript, manages sessions, and returns token-efficient Markdown.

Searchable football data provider documentation for AI coding agents. Like Context7 for football data.

900+ pure-markdown skills for autonomous AI research, organized as 9 freely-composable packages over a 4-layer hierarchy (Campaign → Strategy → Tactic → SOP). Non-linear orchestration with backtracking, 6 MCP integrations. The AI is the researcher — you set the direction.

LLM-compiled knowledge bases for any AI agent. Parallel multi-agent research, thesis-driven investigation, source ingestion, wiki compilation, querying, and artifact generation.