3,583 skills. One install layer.

MCP server for atrib. Lets agents mark a past record's importance and meaning. Adds an ANNOTATES graph edge so recall surfaces weighted annotations ahead of flat scans.

Multiplexer for MCP tool calls — parallel execution, batching, caching, and pipelining for any MCP server

A MCP server for TestDino.

Structured code review — analyze code quality, security, architecture patterns, compare versions.

Local-first MCP server for Claude/Codex project wiki and graph workflows

Autopilot workflow — autonomous task execution with reasoning, context management, and shell commands.

MCP server for the SCF Controls Platform — security compliance controls, frameworks, evidence, and risk management for AI agents

MCP configuration installer by 21st.dev

Batch execution patterns — run multiple operations sequentially, in parallel, or as a pipeline.

MCP daemon for cross-agent collaboration

FaberJS MCP server — AI coding agent integration for Claude Code, Cursor, and Claude Desktop

Minimal MCP server over stdio with typed tools and rich content helpers

Full project audit workflow — code quality review, security scan, architecture analysis, and metrics report.

Agent registry — register AI agents with capabilities, list available agents, query capabilities.

Browser SDK for Tesseron. Declares actions and resources, opens a WebSocket to the local gateway.

Session metrics tracking — token usage, costs, duration, and per-tool statistics.

Persistent key-value memory — store and recall information across sessions as JSON files.

In-memory file cache — avoid redundant disk reads with mtime-based invalidation.

Knowledge base — index documents, search by content, fetch entries, purge stale data, rank by relevance.

Agent Model Layer — One-line LLM access with built-in memory. 29 providers, 18 embeddings, zero lock-in.

MCP server middleware for atrib. Signed receipts for every tool call, one-line integration.

Change impact analysis — given a file or symbol, find what files are affected by a change.

Project onboarding workflow — auto-discover project structure, conventions, and key files for a new contributor or AI agent.

Model Context Protocol server for Meta Marketing API integration