#workflows

An MCP server for running Argo workflows, written in Golang

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

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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.

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.

MCP server voor Google Search Console API integratie met n8n

🚀 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!

Aidress is the coordination layer for autonomous AI agents. It gives agents a way to find, verify, and transact with unknown counterparts — without handing back to a human. Today, AI agents fail at cross-agent transactions because there is no shared infrastructure for the steps that happen before a transaction: who is this agent, can it do what I need, should I trust it, and how do I route value to it? Aidress provides those five layers.

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.

Claude MCP Server - Intelligent Prompt Orchestration & Management

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

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

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.

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

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.

Empowering AI with Workflow Orchestration

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.

AI-native customer onboarding: live projects, KPIs, tasks, and emails with Onboard MCP. Connect Onboard to Claude or any MCP-compatible AI client to seamlessly surface blocked tasks, draft customer emails, monitor KPIs, and take action—right from your AI workspace. Access 27+ purpose-bu ilt tools that cover every stage of the customer onboarding lifecycle, all from within your preferred AI assistant.

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.

Outcome-aligned AI workflow registry. Design and run AI workflows with verifiers that align an agent to measurable outcomes, with reliable image output.

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.

Turn any AI assistant into an expert prompt engineer. Ultra Prompt gives your AI a library of 1,000+ professionally written prompts for real, everyday work, writing, marketing, business, creative, coding, and more. Just describe what you're trying to do, and it finds the right template, fills in the details, and hands back a polished and ready-to-run prompt so you get expert-quality results without wasting time on writing the the best prompt yourself. It can also chain templates into multi-step workflows and save them to reuse anytime. Free to start; works in any MCP client.

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.

AgenticBI is an agentic analytics platform that turns business questions into answers.Connect BigQuery, Salesforce, SAP, Google Drive, Trino, and more. Agents understand your data, find the right datasets, join across systems, run queries, and return answers with visualizations.Or skip the question and automate the workflow entirely. "Send me a sales report every morning at 8 AM." The agent identifies the data, picks the metrics, builds the dashboard, and sets up recurring delivery to your inbox or Slack.Structured data and documents in the same query. No SQL. No analyst. Works with Claude, Cursor, VS Code, and ChatGPT. Turn on screen reader support Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.Connects your sources, builds the semantic layer, and answers your business questions — no SQL, no analyst, no waiting.

Persistent memory API and MCP server for AI agents and workflows. Store, search, and retrieve memories with semantic search across Claude, ChatGPT, n8n, Zapier, Dify, and more. Built for developers who need reliable, long-term context for their AI applications.