OOMOL

OOMOL connects Gmail, GitHub, Notion and more to AI agents, with reusable tools across Codex, Claude Code and Cursor, plus usage-based pricing.

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What OOMOL is

OOMOL is a connector layer for AI agents that lets you link third-party services once and reuse those connections across different agent environments. The site positions it as a way to connect Gmail, GitHub, Notion, Slack, and 600+ apps, then call the resulting tools from agents such as Codex, Claude Code, Cursor, and local agents.

The product is built around three steps: install OO CLI or copy prompts into an agent, connect apps in OOMOL with the scopes you want, and then let the agent discover and run approved tools. The source also shows OOMOL turning recurring workflows into Skills, so the same process can be shared or installed in other agents without reauthorizing everything from scratch.

Pricing is usage-based. The pricing page lists a Free plan, a Pro plan at $20 per month, and a Max plan at $100 per month. All plans include 20K app calls per month, with overage charged from credits, and separate rates apply to media, speech, and other service usage.

Core features

Large app connector set

Connect Gmail, GitHub, Notion, Slack, Linear, Zoom, Discord, Airtable, Asana, Dropbox, Supabase, Vercel, WhatsApp, Stripe, Jira, Figma, Trello, and many more apps through one authorization layer.

Agent-side workflow setup

Install OO CLI or copy prompts into an agent, then use connected apps and skills in environments such as Codex, Claude Code, Cursor, and other supported agents.

Scoped authorization and permissions

Customize app scopes during connection and keep tool permissions managed in OOMOL instead of handling raw passwords or tokens inside the agent.

Reusable skills

Promote repeated workflows into shareable Skills so the same action sequence can be reused across different agents.

Media and AI services

Use built-in service categories for media and AI work, including image generation, video generation, speech-to-text, and text-to-speech.

Centralized activity review

Review usage, results, and run records from the OOMOL console while agents execute approved tools in the background.

Common ways teams use OOMOL

Agent-assisted inbox summaries
Summarize Gmail messages into a Notion note from an agent, using OOMOL to read authorized mail and write the output to a connected workspace app.
Engineering status updates
Pull merged pull requests or repository activity from GitHub and post the brief into Slack so engineering updates can be shared without manual copy-paste.
Repeatable cross-agent workflows
Turn recurring operational work into a reusable Skill so different agents can run the same steps with the same tool order and output constraints.
Media generation and processing
Use connected media and AI services to generate, edit, or transform content such as subtitles, images, or video as part of a broader agent workflow.
Cross-app business automation
Connect multiple business apps such as Linear, Airtable, Jira, and Notion to move information between systems inside approved scopes.

Pros and Cons

Pros

Works across multiple agent environments rather than locking usage to one assistant.
Supports a broad set of connected apps, including common work tools like Gmail, GitHub, Notion, Slack, Linear, and Zoom.
Keeps credentials and raw tokens out of the agent by using approved scopes and OOMOL-managed permissions.
Lets repeated workflows be packaged as Skills and reused across agents.
Combines app connections with built-in media and speech services for tasks that go beyond simple data lookup.

Cons

The source does not provide a full connector catalog with coverage details for every app or tool.
Some workflow examples are shown, but the page does not document all supported actions, limits, or environment-specific behavior.
Pricing uses credits and service rates, so estimating cost depends on the specific app calls or media usage involved.

FAQ

Is OOMOL itself an AI agent?

OOMOL is not a new chat agent. It connects third-party services such as Gmail, GitHub, Notion, and Slack so agents can call approved tools and work with connected accounts.

How does setup work?

The homepage shows setup in three steps: install OO CLI or copy prompts into your agent, connect apps in OOMOL, then use OO in the agent you already work in.

Which agents can use OOMOL?

The source shows OOMOL working with agents such as Codex, Claude Code, Cursor, and local agents, using connected apps and skills inside those environments.

Does OOMOL have paid plans?

The pricing page shows a Free plan and paid Pro and Max plans. All plans include 20K app calls per month, and overage is charged at 0.3 credits per 1K calls.

Does OOMOL expose my credentials to agents?

OOMOL says agents do not receive account passwords or raw tokens. You authorize third-party accounts in OOMOL, and agents use approved tools within those scopes.

Quick Facts

Category: AI workflow connector
Source domain: oomol.com
Primary use: Connect apps and run them from AI agents
Supported agent environments: Codex, Claude Code, Cursor, local agents
Pricing shape: Free plan plus paid Pro and Max plans with usage credits
App call allowance: 20K per month on each plan