Reduck MCP: the memory layer to make Agents 2.5x faster for browser tasks
Reduck MCP: the memory layer to make Agents 2.5x faster for browser tasks
Daniel Huynh ·29 Sep 2026 · Product Copy link
Reliable and fast browser use is still a challenge
2026 has been the year for coding, cyber and math agents, but broader B2B work (finance, ops, growth, etc.) and B2C automation (e-commerce, travel, etc.) haven’t been as impacted yet.
One of the key reason is simple: Agents simply do not have an easy to use APIs to integrate these systems.
Today, even if agents can use Computer Use to automate sites with no API (Amazon, Reddit, your custom ERP), Computer Use is inadequate for complex and heavy workloads because it’s:
- Slow: every click is a loop (screenshot, think, click, screenshot again)
- Expensive: screenshots and page snapshots go into context at every step, so a task burns tokens and hits rate limits
- Flaky: results vary from run to run and get worse as the context grows
- Waste time learning how a website works: e.g. that invoices are found by clicking “Settings” and not on “Profile”, scrolling all the way down, and clicking “Billing”.
- Waste time redoing the action: even with a Skill that stores how to navigate, the agent still operates in a loop to click and type, check new state, think and act again, which floods its context.
- Scripts that already know the site: the catalogue has an invoice script for each of the five providers, so the agent calls `run_script` instead of finding its way around each billing page. This means that there is no need to do the loop with read state, think, atc, read again.
- Parallel execution: `run_script` takes a batch of args, so scripts run in parallel on several tabs.
Agents have no memory layer for the browser
Agents have to manually discover and navigate each time
At the heart of it, agents are slow and unreliable at Computer Use because they:
Introducing Reduck MCP
That’s why we built Reduck MCP, the memory layer for browser actions.
Instead of browsing from scratch or performing manual actions, Agents can now write scripts + metadata on how to use it and then use it for faster future navigation.
To solve the cold start problem we maintain a library of official scripts for the most used sites, such as LinkedIn, Google Maps, Instagram and Stripe.
The official scripts, ready for your agent
Here is an example of script with “List Anthropic Console invoices”. It states the input it takes (none) and the output it returns (every invoice of the organization), so an agent calls it the way it calls any other tool, but also can know how to chain them.
A script states what it does, what it takes and what it returns
If no script matches, agents can write one with Reduck MCP and use it later.
Demo
Here is Claude with Reduck MCP, against Claude with the Claude for Chrome MCP, downloading 20 invoices from 5 providers:
Same prompt: Claude with Reduck MCP on the left, Claude with the Claude for Chrome MCP on the right
You can replay this example live on Reduck Voyager.
So how is Reduck 3.6x faster here?
Faster on every task we ran
The invoices are one task of three. We gave Claude two more, each with the same prompt once per tool: find this week’s viral founder posts on X, and find a Reddit post from a vague memory. With Reduck MCP, Claude finished all three first, 2.5x faster overall:
Time per task: Claude with Reduck MCP against Claude with Chrome MCP
The time difference comes from not having to loop on the UI: with Chrome, every screenshot, click and page read is a tool call, and Claude thinks before each one. With a script, one call does the whole job on a site, so Claude made 4.2x fewer tool calls over the three tasks:
Tool calls per task: each one is a step Claude has to think about
Create your own evals with Reduck Voyager
To produce such evaluations and their 1:1 comparison, we wrote Reduck Voyager, our open-source eval framework for web agents. Other examples are at voyager.reduck.ai.
It wraps the Claude Code SDK to launch agents on exactly the same prompts, except that “Use Reduck MCP” becomes “Use Claude for Chrome MCP”.
Evaluation is done with deterministic code when possible, or with custom labels from a human or an AI.
Our sample is small, so feel free to contribute your own data!
Get started in minutes
If you want to test Reduck MCP to automate complex flows on Reddit, WhatsApp, or LinkedIn, you can get started in literally minutes:
1. Create an account at reduck.ai/#signin 2. Install our Chrome extension and pair it with your account 3. Install Reduck MCP
On Claude Code CLI:
claude mcp add reduck --transport http --scope user https://mcp.reduck.aiOn Codex CLI:
codex mcp add reduck --url https://mcp.reduck.aiFor other MCP clients, see our Onboarding Guide.
Start a new session and get going with your first automation. You can try a prompt like:
Using Reduck MCP, search on Google the top 3 latest posts of the week on "AI Agents" on LinkedIn. Then return the profiles of potential buyers of B2B AI agents.