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Gumloop exposes a remote Model Context Protocol (MCP) server that lets any compatible AI client manage your agents, sessions, skills, and more. Connect to the Gumloop MCP server natively in Claude, Cursor, and other clients, or use mcp-remote for clients that don’t yet support remote MCP.
You’ll need a Gumloop API key. Get one from the Gumloop API Key connector. The server handles OAuth automatically: you’ll be prompted to sign in and authorize access the first time you connect.

Setup

Claude

Navigate to Settings > Connectors and add a new MCP integration with the URL:

Cursor

  1. Open Cursor Settings (Cmd/Ctrl + Shift + J)
  2. Go to MCP and click Add new MCP server
  3. Select Type: SSE and enter the server URL:

VS Code

Add the following to your .vscode/mcp.json:

Windsurf

  1. Open Windsurf settings (Cmd/Ctrl + ,)
  2. Scroll to Cascade > MCP servers
  3. Select Add Server > Add custom server
  4. Add:

Gumloop CLI

You can also explore and call tools from your terminal:
See the CLI MCP docs for the full reference.

Available Tools

The Gumloop MCP server exposes 46 tools across these categories:

Agent Management

Agent Sessions

Skills

Artifacts

Teams

MCP Server Management

Company Brain

Documentation

Audit Logs

Audit logs are available over MCP as well as the REST API. The tool takes an organization_id, your user_id, a start_time/end_time window, and an optional max_limit (pagination is handled for you). Server-side filters beyond the time window — by event type, user, IP address, workspace, or entity — are REST-only. Only organization Admins can read audit logs, over MCP or REST.

Data Exports

Use these two together to pull your organization’s agent and usage data into an MCP client: call export_data with a data_type (workflows, agents, agent_interactions, credit_logs, or gumstack), a date range, and the columns you want, then poll get_export_status with the returned data_export_id until it reports COMPLETED and request the download URL. Audit log exports aren’t one of the MCP data_type options — read audit events with get_audit_logs, or set up an audit log data drain.
The aggregated charts on the Organization Insights dashboard (overview totals, model usage, leaderboards, skill adoption, artifact analytics) aren’t available over MCP or the REST API. Use data exports for the underlying rows.

Flows & Runs

MCP vs. the REST API

The MCP server and the REST API overlap heavily, but neither is a strict superset of the other. In short: use MCP when an AI client should drive Gumloop (agent management, sessions, skills, flows, Brain, audit logs, exports, and docs search), and the REST API when you need the full administrative surface — evaluations, approvals, file operations, and organization membership and credit administration.

Example Prompts

Once connected, try these with your AI client:

Gumloop MCP Integration

Full tool reference and usage examples.

API Reference

Programmatically manage MCP servers and call tools via the REST API.

CLI Reference

Explore and call MCP tools from your terminal.

Custom MCP Servers

Connect your own MCP servers to Gumloop.

Audit Logging

Tracked events, log structure, and admin access requirements.

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