Integrations

Bring the right external capability into the workflow that needs it.

Connect supported tools to agents and automations while keeping the business goal, access boundary, approval point, and resulting work visible in DruidX.

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No code · review gates · work organized by business

druidx — integrations

druidx run integrations. loading business context. mcp-capabilities, enable compatible external tools according to the workspace and current plan. per-agent-connectors, attach the external systems relevant to a specialist rather than every available integration. automation-nodes, use connectors inside visible workflows alongside logic, waits, and approvals. communication-channels, connect supported slack and telegram surfaces for agent interaction. github-workflow, move website and governed code work into a source-controlled delivery path. 5 steps complete · output saved to Library.

review gates on, outputs keptSee plans →

Make integrations part of a controlled operating process instead of a list of logos.

A connector is only valuable when it has a clear job and an appropriate access boundary. DruidX supports MCP tools, configured connectors, communication channels, GitHub, and deployment paths within agent and automation workflows.

Everything the run needs, built in.

6 capabilities

MCP capabilities

Enable compatible external tools according to the workspace and current plan.

Per-agent connectors

Attach the external systems relevant to a specialist rather than every available integration.

Automation nodes

Use connectors inside visible workflows alongside logic, waits, and approvals.

Communication channels

Connect supported Slack and Telegram surfaces for agent interaction.

GitHub workflow

Move website and governed code work into a source-controlled delivery path.

Deployment path

Connect eligible website work to Vercel and domain operations.

From business context to finished work.

The objective, the execution, and the outputs stay connected, so nothing gets rebuilt in the next tool.

1

Set the working context

Choose the business, project goal, relevant knowledge, and the people responsible for reviewing the result.

2

Configure the capability

Select the appropriate agents, models, tools, connectors, and boundaries for the work.

3

Run, review, and retain

Inspect progress and outputs, answer questions or approvals, and keep the useful result in the workspace.

What you walk away with.

Useful outputs your team can open, share, and build on — not another stream of chat.

  • External capabilities assigned to a clear business purpose.
  • Narrower access by agent and workflow.
  • Connectors combined with explicit logic and approvals.
  • Communication and repository work linked to project context.
  • Fewer manual handoffs between the AI workspace and delivery systems.

Where teams point it first.

Focused project work

Apply the capability to a concrete business outcome with visible context and a defined deliverable.

Reusable team workflow

Configure the approach once, then bring it into future projects without rebuilding every instruction.

Governed automation

Use the capability inside a larger workflow with explicit logic, timing, and human review where required.

Keep exploring the workspace.

Your next move

Give your next business goal a place to get done.

Set up a workspace, add the context that matters, and let your AI team turn the goal into reviewed, reusable work.

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