AI Ecosystem

Skills, MCP servers, and MCP clients powering a complete AI workspace

Most AI tools are islands. Your chatbot doesn't know your CRM. Your code assistant can't access your workflows. Runwork connects everything. Vibe-code an app and it becomes an AI skill. That skill works in your channels, in Claude Desktop, in Cursor. Connect external tools and they become part of your workspace too. One ecosystem where everything makes everything else smarter.

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The Challenge

AI tools are siloed: your chatbot, code assistant, and automation tool don't talk to each other
Business knowledge lives in people's heads, not in the AI's context
Connecting AI tools to your actual business data requires custom integrations
Every new AI tool means another setup, another API key, another context to manage
No single platform covers the full spectrum from quick answers to custom apps

The Runwork Solution

Every app you create automatically becomes AI expertise the whole workspace can use
Skills layer your business knowledge on top: best practices, recipes, guardrails
MCP Servers expose your entire workspace to Claude Desktop, Cursor, OpenClaw, and any AI tool
MCP Client brings external AI capabilities into your workspace
One ecosystem where apps, skills, and connections compound over time

What You Can Build

CRM That Teaches AI Sales

Your vibe-coded CRM becomes a skill. The AI knows your pipeline, your process, your close rates. Load it in #sales with a slash command.

Claude Desktop + Your Data

Connect Claude Desktop to your workspace via MCP. Ask it to query customers, trigger a workflow, or generate a report from your real data.

Cross-App Intelligence

Load your CRM skill and Marketing skill in the same channel. The AI orchestrates across both: "Draft a follow-up for leads who attended the webinar."

Portable Skills

Download your app's SKILL.md and use it in Cursor while coding. Your IDE understands your business data model, endpoints, and workflows.

OpenClaw + Your Business Data

Build a CRM in Runwork. OpenClaw connects via MCP and queries your pipeline stats from Telegram. Your personal AI agent, your business infrastructure.

External Knowledge In

Connect a company knowledge base MCP server. Your workspace AI can now search internal docs alongside your app data in the same conversation.

Channel Expertise

Pin the Helpdesk and CRM skills to #customer-success. The AI always has the right context. No slash commands needed, just ask.

A Day in the Life

8:30 AM - The AI knows your business. You open #customer-success. The CRM and Helpdesk skills are pinned to this channel, so your AI assistant already has full context. A teammate asks "What's the status on Acme Corp's renewal?" The AI queries the CRM, checks recent support tickets, and gives a complete picture. No switching tools, no looking things up.

10:00 AM - Cross-app orchestration. In #marketing, you load both the Instagram Post Manager skill and the Analytics skill. You ask: "What were our top-performing posts last month, and schedule similar ones for next week?" The AI queries analytics data, identifies patterns, and uses the Instagram app's scheduling endpoint. Two apps, one conversation, one result.

11:30 AM - External tools, native experience. Your team connected a company knowledge base via MCP Client yesterday. Now in any channel, you can ask "What's our refund policy for enterprise customers?" and the AI searches the knowledge base alongside your app data. External tools feel like they've always been part of the workspace.

2:00 PM - Claude sees your workspace. A developer opens Claude Desktop, connected to the workspace via MCP. They ask Claude to "list all customers with overdue invoices and draft reminder emails." Claude queries your CRM entities, checks invoice dates, and generates personalized reminders. All from a desktop AI tool, using your real business data.

3:30 PM - The flywheel turns. You vibe-code a new Inventory Tracker app. It automatically becomes a skill with entities (Product, StockLevel, Supplier), endpoints, and workflows. Without any setup, it's available as a slash command in channels, accessible via MCP to Claude and Cursor, and downloadable as a SKILL.md. One app created, the entire ecosystem gets smarter.

5:00 PM - Skills everywhere. Before heading out, you download the Inventory Tracker's SKILL.md and add it to your Cursor setup. Tomorrow, while coding a supplier integration, Cursor will understand your data model, available endpoints, and business rules. Your vibe-coded app isn't just a workspace tool. It's knowledge that travels with you.

Frequently Asked Questions

What makes Runwork an "AI ecosystem"?

Three capabilities working together: Skills (every app becomes AI expertise), MCP Servers (your workspace is accessible to any AI tool), and MCP Client (external AI tools become part of your workspace). Together they create a flywheel where creating apps makes the AI smarter, and a smarter AI creates better apps.

How do apps, skills, and MCP work together?

When you vibe-code an app, it automatically generates a skill from its capabilities (entities, endpoints, workflows, etc.). That skill is available via slash commands in channels, exposed to external tools via MCP Servers, and downloadable as a SKILL.md for tools like Claude and Cursor. Everything connects automatically.

Do I need to set up skills and MCP separately?

No. Skills are auto-generated from your apps. MCP Servers are built into every workspace. The only setup is optional: adding your own domain expertise to skills (best practices, recipes) and connecting external MCP servers you want to use. The core ecosystem works out of the box.

Which external AI tools can I connect?

Any tool that supports the MCP protocol. This includes Claude Desktop, Cursor, OpenClaw, Codex, and a growing ecosystem of AI agents and assistants. Your Runwork apps work as tools FOR these external AI clients -- they connect, query your data, and trigger actions. As an MCP Client, Runwork can also connect to any external MCP server: knowledge bases, code analysis tools, data feeds, and more. The ecosystem is open and bidirectional.

Is this different from just having integrations?

Yes. Traditional integrations connect two specific tools. The AI ecosystem creates a knowledge layer. Your CRM integration lets you read HubSpot data. A CRM skill teaches the AI your sales process, pipeline stages, and best practices. MCP lets any AI tool, not just Runwork, access that knowledge. It's the difference between connecting pipes and building intelligence.

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