One workspace.
Every AI tool.
Your AI agent connects to Runwork and gets access to your team's data, integrations, workflows, and skills. Via MCP, CLI, or knowledge files. Any agent, one workspace.
Supported agents
runwork setup auto-detects and configures these agents.
Any MCP-compatible tool can also connect manually using your workspace endpoint URL and API key.
How agents connect
MCP (Model Context Protocol)
Every workspace exposes an MCP server. Your AI agent connects once and gets tools for everything: entities, workflows, schedules, integrations, files, channels, skills.
Streamable HTTP and SSE transports. Standard protocol. Works with any MCP-compatible tool.
Learn moreRunwork CLI
Full terminal interface to the workspace. Every command supports --json for machine-readable output that AI agents parse natively.
runwork agents, runwork entities, runwork workflows, runwork integrations, runwork files, and more.
Learn moreSkills (SKILL.md)
Every app auto-generates a skill file with capability descriptions, API references, and domain knowledge. Your agent reads it and understands what's available.
YAML frontmatter + markdown. Portable to any AI tool. Downloaded from dashboard or synced via CLI.
Learn moreKnowledge files (CLAUDE.md, AGENTS.md)
When any AI agent creates or opens a Runwork app (via runwork init or runwork dev), the platform generates knowledge files on the fly. This works for any agent: Claude Cowork on the desktop creating a workflow, Claude Code building a full app, or Cursor adding an endpoint. The agent understands Runwork from the first prompt.
Created automatically. Always up to date. Works with Claude Cowork, Claude Code, Cursor, Codex, and any agent that reads project files.
Learn moreWhat your agent can do
Once connected, your AI agent gets tools for everything in your workspace.
Read and write workspace data: customers, orders, products, any entity type.
Start multi-step automations with parameters.
Trigger scheduled jobs on demand or check their history.
Make API calls to 3,200+ connected services: HubSpot, Stripe, Slack, Google, and more.
Manage workspace file storage. Upload reports, download data files.
Post messages to team channels, notify teammates, share results.
Browse available skills and load them for context-aware conversations.
List agents, check status, view execution history, trigger task agents.
Hit public API endpoints exposed by workspace apps.
Run complex tasks in isolated compute environments with full code execution.
Connect in 60 seconds
That's it. Your AI agents now have access to your workspace's data, integrations, workflows, and skills.