Enables AI coding agents across supported harnesses to run a structured multi-agent workflow with persistent memory, squad roles, and bundled skills through MCP tools.

Ephemeral data sandbox for AI workflows with guardrails and security

Enables zero-auth agent workflows for email OTP extraction, KV checkpoints, webhook bins, wake timers, and clean URL-to-Markdown reading.

Connects AI assistants directly to IBM Maximo environments to discover APIs, inspect schemas, query live data, generate UI code, and create, update, or act on records through OSLC REST and business workflows.

Find and run AI workflows from the Edgaze marketplace in your agent. Sign in with OAuth.

This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.

MCP server for the phlow agent runtime: bounded planner-coder-reviewer agent workflows.

Build, verify and deploy full-stack apps: Postgres, sign-in, workflows, realtime, AI, rollback.

🛡️ Free open-source AI-powered security terminal & vulnerability scanner (CVE, SBOM). Supports SSH, SFTP, RDP, VNC, Serial, and 12+ autonomous AI agents (DeepSeek, OpenAI) for automated security workflows, CTF & DevSecOps. Cross-platform & Web UI.

yt-dlp search, download, metadata, delivery, and Plex workflows over MCP and CLI.

Remote MCP server for Tandem docs, install guides, SDKs, workflows, and agent setup help.

Reusable project context and specialist workflows for the AI tools you already use. AIWG places agents, skills, commands, and rules in provider-readable locations, with optional utilities for artifact memory, workflow orchestration, recovery, and discover

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

Open-source AI assistant ecosystem with MCP integrations, multimodal workflows, IoT support, and cross-platform voice interaction.

Build and run AI workflows, apps, toolkits and knowledge bases on FlowDot from any MCP client.

Official Model Studio CLI（阿里云百炼 CLI）built for AI Agent frameworks, exposing models, search, multimodal, and workflow capabilities as structured tool calls.

AI assistant and MCP server for Blender: visual chat, scene tools, multi-agent workflows. Works with OpenAI, ChatGPT, Claude, Gemini, Ollama, OpenCode. Blender AI addon and plugin, copilot for 3D, bpy Python scripting, MCP integration.

Enables AI assistants to operate Shopify stores through 61 risk-tiered tools for store operations, SEO and GEO audits, deterministic analytics, inventory intelligence, feed quality, and safe marketing workflows. It defaults to read-only access and uses previews, bound approvals, and audit logging for writes.

Enables agents to capture real browser interactions over CDP, compile them into deterministic replay scripts with parameterized inputs and stored secrets, and execute those workflows with real input events — no page re-reading or LLM in the replay loop. Also emits portable Agent Skills from recorded workflows.

Enables host assistants to discover and read the toolkit’s research methods over a local stdio MCP connection, supporting research planning, literature work, scientific reasoning, writing, figures, and academic document workflows. It does not itself search scholarly databases, generate research results, compile documents, or call models.

A local stdio MCP server that enables coding agents to find licensed photos and icons, generate color palettes and simple SVG assets, and preview static web prototypes. It also supports editable agent skills for design and prototype review workflows.

Enables AI agents to place and verify provably fair dice bets, manage shared bankroll vault liquidity positions, inspect incentives and positions, and read or send verified chat messages over HTTP or Stdio, including website-independent on-chain memo workflows.

Enables AI hosts to retain evidence, check explicit constraints, plan bounded work, and record outcomes through local-first MCP operations. Optional reconstruction tools also support experimental image-to-3D workflows with local model providers and Blender.

Enables MCP clients to run provider-backed reverse-engineering and software-analysis workflows for source code, binaries, and architecture, with evidence, limits, and optional external tool integrations.