Gumloop
No-code AI agent builder that connects 400+ apps and any AI model, so recruiters can automate research, enrichment and outreach prep.
From $37/mo 14-day free trial MCP server API
Bottom line
Gumloop is a no-code platform for building AI agents that connect to your apps, browse the web and run on schedules. It suits recruiting and sales ops people who want to automate research, enrichment and outreach prep without writing code. Pro starts at $37 a month with 20,000 credits and a 14-day free trial.
Stands out for: Gumloop pairs agent building with browser agents that log into sites, handle CAPTCHAs and hand off to a human, which covers tasks that API-only tools like Zapier cannot reach. Its Model Router also picks a cheaper model for routine steps, so credit spend stays lower than running every step on a frontier model.
Watch out for: Usage runs on credits plus an 8% orchestration fee, so costs grow with volume and are harder to predict than a flat seat price. Concurrency on Pro is capped at 5 workflow runs, and higher limits need a custom Enterprise deal.
Overview
Gumloop calls itself the multiplayer AI agent builder. The idea is that anyone who understands a task can automate it, choosing any AI model and any integration, while IT controls access, spend and policies from one place.
Agents run on triggers and recurring schedules, use reusable skills and connect to 400+ apps including Gmail, Google Sheets, Slack, HubSpot, Salesforce, LinkedIn and Ashby. Browser agents work in a real browser with saved logins, CAPTCHA handling and human handoff, which helps with sites that have no API.
For a recruiting desk, typical uses are researching target accounts, enriching a list of hiring managers in a sheet, summarising job posts or drafting outreach notes, then pushing the results to a CRM or Slack. Agents can also be run from Slack, Teams, email or text.
Gumloop routes tasks across 35+ models to control cost, and shows spend per model and agent. It hosts its own MCP server with 87 tools for managing agents from Claude and other clients, offers a REST API and a CLI, and supports SSO, SCIM and VPC deployment for larger companies.
Who it's for
Best for
- Recruiting ops automating candidate or account research
- Agencies enriching lead lists with AI before outreach
- Teams that need agents to work inside logged-in websites
- Companies that want AI agents with IT spend controls
Not ideal for
- Simple two-step app triggers on a tight budget
- Teams wanting a fixed, predictable monthly bill
- Users who need a self-hosted open source option
Key features
Agent builder for non-technical staff. Describe a task and build an agent with triggers, recurring schedules, reusable skills and 400+ connectors.
Browser agents. Agents use a real browser with saved logins, CAPTCHA handling, a password vault and human handoff, with recorded sessions and audit logs.
Model Router. Each task is matched to a model from a choice of 35+, sending routine work to cheaper models to cut credit spend.
Agents in your channels. Run and chat with agents in Slack, Microsoft Teams, email and text messages.
Governance. Spend caps, approvals, audit logging, plain English app policies, SSO and SCIM keep IT in control.
MCP server and API. A hosted MCP server exposes 87 tools for managing agents from Claude or other clients, and a REST API runs agents programmatically.
AI features
| What the AI does | Plan |
|---|---|
Only features named in the vendor's own documentation. Anything sold separately is marked as an add-on.
MCP server
https://docs.gumloop.com/mcp-server/overview.md
First-party MCP at docs.gumloop.com. https://docs.gumloop.com/mcp-server/overview.md.
Setup steps and live status MCP Directory Check your stack in the MCP readiness checker
Pricing
Gumloop has two plans. Pro starts at $37 a month and includes 20,000 credits a month, unlimited agents, seats and teams, 35+ AI models, one hosted MCP server, 5 concurrent workflow runs and 25 concurrent agent chats, with an 8% orchestration fee. Enterprise is custom priced and adds custom credits and limits, org-wide connector policies, custom proxy support for models, orchestration fee discounts and optional add-ons such as an embedded Gumloop expert and a virtual private cloud. Pro comes with a 14-day free trial. Confirm current terms on the vendor site.
Checked 4 Nov 2026. Vendors change prices without notice.
Is Gumloop expensive?
Gumloop does not publish a price. It is one of 11 quote-based tools among the 27 workflow automation tools in our directory. 14 have a free tier, and those with a public price typically start around $29 a month.
- 11 quote-based
- 14 free tier
- 21 public price
Worked out automatically from every workflow automation listing, so it updates as the directory changes.
Pros and cons
Pros
- Browser agents for sites without an API
- Model routing to lower credit spend
- Own MCP server, API and CLI
Cons
- Credits plus an 8% orchestration fee
- Pro caps concurrent runs at 5
- No free plan listed, only a trial
Integrations
Gmail Google Sheets Slack HubSpot Salesforce LinkedIn Ashby Microsoft Teams
What's new at Gumloop
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How Gumloop compares
See all Gumloop alternatives, with what each one does differently and a head to head for every pairing.
| Tool | Free tier | From | MCP | API | Compare |
|---|---|---|---|---|---|
| | – | $37/mo | ✓ | ✓ | |
| | ✓ | €20/mo | ✓ | ✓ | Compare |
 Relevance AI Relevance AI focuses on building AI agent workforces for sales and ops, while Gumloop puts more weight on browser agents and IT governance. | – | $19/mo | ✓ | ✓ | Compare |
 Lindy Lindy leans toward personal AI assistants for inbox and meetings, while Gumloop targets company-wide agent building with model routing. | – | $49.99/user/mo | – | – | Compare |
€20/mo Free tier MCP API
n8n can be self-hosted and suits technical users who want full control, while Gumloop is built for non-technical staff with hosted browser agents.
Relevance AI$19/mo MCP API
Relevance AI focuses on building AI agent workforces for sales and ops, while Gumloop puts more weight on browser agents and IT governance.
Lindy$49.99/user/mo
Lindy leans toward personal AI assistants for inbox and meetings, while Gumloop targets company-wide agent building with model routing.
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