Multi-agent workflows, orchestration frameworks, and autonomous runs.
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MCP server that verifies JWT identity tokens and exposes user claims via tools
BlockRun MCP Server - Give your AI agent web search, deep research, prediction markets, crypto data, X/Twitter intelligence. Paid via x402 micropayments.
MetaHarness — mint a custom AI agent harness from any repo. Paste a GitHub URL or start blank; output runs on Claude Code, OpenAI Codex, pi.dev, Hermes, OpenClaw, or RVM. WASM kernel (Rust → wasm-bindgen + NAPI-RS), 6 hosts, witness-signed Ed25519 releases, GCP Secret Manager validation. Browser Studio + npx metaharness CLI.
Official MCP server for Anytype API
Multi-agent development orchestration platform — 39 specialists, 4-phase orchestration, native parallel subagents, persistent sessions, and standalone review/debug/security/perf/seo/a11y/compliance commands
CLAUDE.md lifecycle toolkit: initialise, enhance, sync, and modularise CLAUDE.md files with a 150-line cap, automatic chaining, and Karpathy behavioural guardrails.
Use when the user wants to push past conventional workflow limits with advanced performance techniques like parallel orchestration, streaming pipelines, or adaptive routing.
Use when any Maestro command is invoked — provides foundational workflow design principles across prompt engineering, context management, tool orchestration, agent architecture, feedback loops, knowledge systems, and guardrails.
MCP server that exposes Claude-style skills to any MCP client.
Use when a single agent demonstrably cannot handle the task and multi-agent coordination is justified.
Local-first, AI-native MCP server for network design automation. Network Sketcher lets LLM clients such as Cursor and Claude Code create Cisco-style network designs, manage device data, and generate L1/L2/L3 topology diagrams (SVG / PowerPoint), combined HTML viewers, device tables, and AI Context files from natural-language workflows.
OpenBSP plugin for Claude Code — WhatsApp channel and API access.
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex and gemini CLIs when installed) to get diverse perspectives on coding problems
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
Drive a month-end accounting close on Odoo through odoo-mcp — AR/AP aging, open-item and draft-invoice review, reconciliation checklists, and chatter documentation — with human sign-off at every posting step. Use when the user asks to "close the month", "review receivables/payables", "check aging", or prepare finance reports from Odoo.
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
Connect 9,000+ apps to your AI workflow. Discover, enable, and execute Zapier actions directly from your client.
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
Multi-agent orchestration framework for Claude Code, Gemini CLI, and Codex CLI — 19 agents, 14 skills, 16 commands, quality gates, TDD enforcement
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
Create and manage generative game zones for Dorothy's Pokemon-style world. Use this skill when creating, updating, or designing game worlds via MCP tools.
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
MCP server for generative world system - agents create and update game zones
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
MCP server for posting tweets via X API v2 (OAuth 1.0a)
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
SAW — SAFe Agentic Workflow AI Agent Harness for Multi-Agent Team Workflows Built on SAFe methodology (Scaled Agile Framework), adapted for…
MCP server for orchestrating Claude Manager agents
MCP server for Twitter/X data via SocialData API - available to all agents
A CLI tool for defining and running multi-agent workflows with the GitHub Copilot SDK
MCP server for kanban task management - available to all agents
MCP server for Vault document management - available to all agents
openmcp MCP server
Minimal MCP server for Telegram messaging
Workflow orchestration commands for agentic software development
Engineering team consisting of specialized agents for software development
Turn any video into a Chinese-narration recap on ffmpeg + one Xiaomi MiMo API key: understanding (ASR + VLM) -> narration -> cut -> voiceover -> assemble. A bundle of independent skills + a thin orchestrator. Runs on macOS, Linux, and Windows.
DashClaw governance, integration, troubleshooting, and platform intelligence for Claude Code.
Generate bilingual (English + Traditional Chinese) commit message from git changes.
Make focused changes to API routes with verification.
🛡️The governance runtime for AI agents.
Decision infrastructure for AI agents — governance runtime with policy enforcement, decision recording, and human-in-the-loop approval.