workflow-automation
52 servers · 51,708★ total
Ultra-lightweight, open-source, self-hosted personal AI agent framework in Python with WebUI, tools, memory, MCP, multi-agent workflows, automation, and chat apps
Open-source CMA-compatible agent runtime for any model, with MCP tools, sandboxed sessions, audit, replay, and a local console. Includes a native DeepSeek Harness bundle over stdio MCP.
AI assistant integration for n8n workflow automation through Model Context Protocol (MCP). Connect Claude Desktop, ChatGPT, and other AI assistants to n8n for natural language workflow management.
Vibe Check is a tool that provides mentor-like feedback to AI Agents, preventing tunnel-vision, over-engineering and reasoning lock-in for complex and long-horizon agent workflows. KISS your over-eager AI Agents goodbye! Effective for: Coding, Ambiguous Tasks, High-Risk tasks
🤖 Agentfy is a modular microservices architecture designed to process user requests and execute workflows across multiple social media platforms. ASK ONCE, LET THE AGENT DO THE REST!
Open-source platform for multi-agent AI orchestration, real-world asset tokenization, and institutional-grade workflow automation. Includes OAuth 2.1 MCP agent management, a 44-field RWA schema, Stripe subscription billing, and a Cryptographic Airgap architecture designed to integrate with AetherNet QUAS post-quantum settlement.
MCP server + embedded terminal that lets Claude Code see and edit your ComfyUI workflows
AI-powered n8n workflow automation through natural language. MCP server enabling Claude AI & Cursor IDE to create, manage, and monitor workflows via Model Context Protocol. Multi-instance support, 17 tools, comprehensive docs. Build workflows conversationally without manual JSON editing.
Server-enforced workflow discipline for AI agents. An MCP server providing persistent work items, dependency graphs, quality gates, and actor attribution. Schemas define what agents must produce — the server blocks the call if they don't. Works with any MCP-compatible client.
A secure local gateway for AI agents to reliably call approved enterprise APIs, tools, and services.
Curated real-world use cases for Hermes Agent — the self-improving AI agent from Nous Research. Backed by primary sources.
🤖 Taskade MCP · Official MCP server and OpenAPI to MCP codegen. Build AI agent tools from any OpenAPI API and connect to Claude, Cursor, and more.
A DottedSign MCP server that enables AI assistants (Claude, ChatGPT) to manage signing tasks, templates, and document status via natural language.
Evidence-gated runner for Codex, Claude Code, OpenCode, and local coding agents. Routes tasks into scoped DAG lanes with replayable artifacts.
Open-source control plane for Codex projects: Git-backed context, visible agent progress, scoped MCP access, resumable work, and safe handoffs.
🪄 MCP server for programmatic creation and management of n8n workflows. Enables AI assistants to build, modify, and manage workflows without direct user intervention through a comprehensive set of tools and resources for interacting with n8n's REST API.
Open-source AI agent orchestration platform — self-hosted mission control for autonomous multi-agent systems. Visual DAG workflows, 450+ MCP tools, human-in-the-loop approvals. Works with Claude, GPT-4o, Gemini, Ollama, Codex.
Connect Claude and ChatGPT to KDAN PDF — upload, edit, compress, protect, redact, and compare PDFs in chat.
Turn a one-line idea into a branch with tested, reviewed, committed code. The brainstorm-to-commit pipeline for Claude Code.
Production-shaped MCP server for Blender with goal-first routing, curated tools, deterministic verification, and vision-assisted 3D modeling workflows.
Local-first workspace for Claude Code, Codex CLI, and Gemini CLI with sessions, analytics, workflows, and tools
The operating system that AI workflows trust. Structure messy inputs. Establish identity. Track provenance. Build the durable data layer your AI workflows need to be trusted, reusable, and auditable.
Formula workbooks for Node services: edit inputs, recalculate formulas, read outputs, persist WorkPaper JSON, and expose MCP tools.
Store, query, and create YAML workflow playbooks for LLM agents via MCP. STDIO or Streamable HTTP.
An MCP server for safer coding agents: skill routing, C4 workflow gates, memory checks, and verification before completion.
Unified MCP Gateway Platform, Marketplace & Custom MCPs
Self-hosted control plane for AI coding agents (Claude Code, Codex, Gemini, Ollama). Shared MCPs, reusable workflows, AI audit that makes any repo AI-friendly. Engineering, not prompting : smaller prompts, fewer hallucinations, lower token bill.
MoFlo — an opinionated, local-first AI agent orchestration toolkit for Claude Code: semantic memory, learned routing, gates, and spells. No API keys, no cloud, works out of the box.
Debugging-first MCP server for n8n. Tools for workflow generation, linting, per-node execution diagnosis, and driving live n8n instances. Built for AI agents.
AgentWorks: the open-source control plane for running, measuring, and improving AI agent workflows across your company.
Model Context Protocol server for authorized Slack workspace automation
The enterprise-grade CrewAI alternative for Go. Orchestrate strictly-typed, parallel AI agents with LangGraph-style Flow persistence, distributed A2A protocols, Model Context Protocol (MCP), and Human-in-the-Loop training.
Workflow guardrails for coding agents and LLM-assisted development: AGENTS.md, native hooks, MCP, SaneMaster, circuit breakers, and shared process checks.
Markdown-first multi-model AI orchestration in one tmux session. A single coordinator (Chrono) routes scoped markdown task packets across 4 frontier model lanes (GPT-5.6 Sol / Claude Opus 5 + Fable 5 / Gemini 3.5 / Kimi K3) and 73 role-based specialists — with cross-family review gates, git-snapshot safety rails, and no server. Dogfooded.
MCP-powered memory, policy, and experience layer for safer AI agents.
Unofficial MCP server for Make.com build, validate & deploy automation scenarios with AI. 200+ modules, auto-healing blueprints, router support. Community project, not affiliated with Make.com.
Production-ready MCP server that lets AI agents build, schedule, run and recover Apache DolphinScheduler data pipelines - 53+ tools, beyond read-only.
BACH v3.12.4-earth: local-first text-based OS for LLM agents with SQLite memory, 113+ handlers, 550+ tools, MCP servers, scheduler and multi-agent orchestration
Practical AI & more workflows for coding, MCP, local AI, productivity, research, media, and ops.
Self-hosted AI agents and workflow automation with human-in-the-loop approvals, a policy engine, connectors, MCP, and a hash-chained audit log.
MCP remote server for Mockuuups Studio API. Generate professional device mockups directly from AI chat interfaces like Claude, ChatGPT, and automation tools. Streamlines design workflows by eliminating context switching between tools.
Open-source Go agent runtime for autonomous AI systems and multi-agent automation. MCP, RAG, 15+ LLM providers and 60+ built-in tools in a single binary.
Your AI on rails, on your terms — an open-source Claude Code plugin that enforces every process as it happens, so your AI can't fake the work. Free, on the subscriptions you already pay for.
No-code, local-first studio for building and running production ready AI agents. Inference runs on your machine — llama.cpp, MLX, or vLLM — or any OpenAI-compatible API you register
MCP server for full n8n instance management (incl. queue mode): workflows, executions, tags, credentials, variables, projects, users, audit & health — 51 tools.
Open-source control plane for self-hosted AI Agents: registry, runs, workflows, User Tokens, A2A/MCP APIs, and reliable Runtime Worker routing.
Model-agnostic multi-agent orchestration built on CrewAI. YAML-driven agent and MCP catalogs, dynamic LLM planning, sessions, and pluggable execution — mix Ollama, OpenAI, Anthropic, HuggingFace, and your own tools without rewriting orchestration logic.
Self-hosted, extensible AI agent platform with governed MCP tools, persistent project memory, durable workflows, capability packs, autonomous execution, and distributed local-model compute.