#Workflows

Self-hosted AI workflow automation platform with visual canvas, agents, RAG, HITL, MCP, and observability in one runtime. Expose your Heym workflows as an MCP server at /api/mcp/sse — callable from Claude Desktop, Cursor, or any MCP client.

One shared AI setup for your team. Stop losing prompts in chats and docs. Save one shared setup, tailor it for your team, and use it across ChatGPT, Codex, Claude, Figma, and more.

Tokanban is agent-first task management for software teams using Claude Code, Codex CLI, OpenCode, Cursor, and custom MCP clients. Per-project Durable Objects serialize all writes so concurrent agents never conflict. Every mutation is idempotent and ETag-guarded. Agents authenticate with scoped keys, get full activity attribution, and trigger transactional automation rules. Free to start.

Access Versium's B2B2C identity graph directly through your AI agent. Generate targeted lead lists, enrich records with contact and firmographic data, validate emails, and size audiences — all through natural language. No manual exports or API coding required. Requires an active Versium REACH subscription with API access.

Persistent state for AI agent workflows. Save, resume, and replay multi-step workflows across sessions, crashes, and agent handoffs.

Manage your entire notification infrastructure using natural language. Trigger workflows, create users, manage preferences, update tenant branding, and access documentation — all from Cursor, Claude Desktop, or Windsurf. 24 tools across 4 categories covering email, SMS, push, WhatsApp, Slack, MS Teams, and in-app notifications. Zero context switching between your IDE and dashboard.

65+ AI tools as an MCP server. Research, write, code, scrape, translate, analyze, agent memory, workflows. Pay per call from $0.006.

AI-first marketplace where coding agents (Claude Code, Cursor, OpenHands) can search, purchase, and review MCP servers, code modules, and agent workflows mid-task — without human intervention. 20 free modules ready to download: Redis cache, file upload, email service, webhook handler, job queue, PDF generator, OAuth2, AI wrapper, and more. Agents can also sell their own modules with automatic AI verification.

mcp-probe-kit is a protocol-level toolkit designed for developers who want AI to truly understand their project's intent. It's not just a collection of 21 tools—it's a context-aware system that helps AI agents grasp what you're building.

MCP360 is a unified integration platform and marketplace that connects AI agents to more than 100 external tools and custom MCPs through a single integration. It serves as a central access layer that allows AI agents to interact with a wide range of third-party services without requiring separate configurations for each tool. Once integrated, AI agents can use tools provided by mcp360 to perform tasks across different domains. The platform standardizes workflow execution, enabling agents to coordinate actions across multiple external services. MCP360 is designed to scale as agent capabilities grow. New tools added to the MCP360 marketplace become available immediately to existing integrations, enabling teams to expand what their AI agents can do without rebuilding or reconfiguring their systems. This makes MCP360 a stable foundation for building AI agents that rely on external services to complete real-world tasks.

An MCP service that turns BizyAir-designed workflows / AI apps into MCP tools and exposes an instant MCP API, so any MCP client can run them conversationally.

The AX-platform provides a unified platform for connecting and orchestrating multiple AI agents using the Model Context Protocol (MCP). Users bring their own agents and models (BYOA), register them via the PaxAI dashboard, and link them through secure, short-lived tokens. Once connected, agents can post messages, collaborate on structured tasks, and participate in shared workspaces. PaxAI enables remote agent control, cross-agent workflows, and scalable multi-tenant collaboration, making it the foundational layer for MCP-based ecosystems.

The PandaDoc MCP Server enables AI tools to interact with PandaDoc's document management system, providing access to document templates, field mappings, roles, real-time document state previews, and seamless integration with PandaDoc's public API for automated document workflows.

Servidor MCP para automatización avanzada de workflows n8n vía Model Context Protocol. Permite ejecutar, listar y monitorizar flujos n8n desde cualquier cliente MCP compatible.

he purpose of this repo is to demonstrate how easy it is to leverage workflows as tools for MCP servers by taking modelcontext.io's weather example and making it durable by implementing the MCP tools as Temporal workflows

AI Agents & MCPs & AI Workflow Automation • (280+ MCP servers for AI agents) • AI Automation / AI Agent with MCPs • AI Workflows & AI Agents • MCPs for AI Agents

Empowering AI with Workflow Orchestration

Temporal MCP is a bridge connecting AI assistants like Claude with the powerful Temporal workflow engine. By implementing the Model Context Protocol (MCP), it allows AI assistants to discover, execute, and monitor complex workflow orchestrations—all through natural language conversations.

A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

A GitHub Actions integration powered by the MCP. This server exposes structured tools to manage GitHub issues, pull requests, and repositories through natural language interfaces and autonomous agents.

An innovative Model Context Protocol hub that seamlessly connects your client with intelligent agents, enabling powerful cross-platform communication across multiple MCP ecosystems

About This repository features a collection of agentic AI projects across various domains, showcasing practical applications of AI agents with different frameworks, techniques, and tools.

🚀 OpenClient- The CLI-Based Universal AI Application Connector! An open-source Model Context Protocol (MCP) implementation that turbocharges LLMs by context provisioning standardization. Quickly connect a server of your choice with our client to boost your AI capabilities. Ideal for developers creating next-generation AI applications!

MCP server voor Google Search Console API integratie met n8n

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A server that provides an integration through both direct REST endpoints and Model Context Protocol (MCP) integration to a workflow engine.

Easily run glif.app AI workflows inside your LLM: image generators, memes, selfies, and more. Glif supports all major multimedia AI models inside one app

An MCP server for running Argo workflows, written in Golang

Claude MCP Server - Intelligent Prompt Orchestration & Management