Agentic Infrastructure

The MCP bridge
to your dashboard

Jumper is a browser extension framework. Your AI agent will operate your SaaS without scraping or clicking. Instead, operations are done via API calls. Jumper gives your agent tools and scripts. It's the most modern and most secure way to automate your SaaS. Jumper brings MCP to where you work, and where you learn.

Install Documentation

WebMCP promises: Agents no longer scrape the UI. Your website simply tells them what's possible. … Does it though? If not, use Jumper! No backend changes needed. Jumper bridges what users can see, and what they can do.

MCP in your browser

Automate your SaaS via its API

No backend proxy, no MCP server, no external credential files or secret stores.

-90% context-window

Between 2 solutions for the same SaaS, "Web API MCP Server" (legacy) and "Web API Extension" (Jumper). Jumper uses type-on-demand discovery and code-mode execution.

Context binding

Jumper sees what you see in the SaaS dashboard and provides it as real-time context to your agent. This enables Hybrid Interaction (UI + API).

With WebMCP, tools are exposed directly by your target, the website. The Jumper extension adds backend logic, and combines intent with options: It combines what you want to do and what you can do.

Traditional dashboard automation depends on DOM scraping and snapshotting and guessing, and requires fine-tuning for specific pages or forms. Jumper moves your agent closer to the authenticated session. Scraping and clicking only happens when needed. This gives you repeatable, inspectable workflows.

Jumper replaces your MCP server with a browser-native, zero-infrastructure alternative. Jumper uses your active SaaS tab for context binding, executes logic locally, and minimizes data exposure to external LLM providers. API Actions: Jumper calls the SaaS API directly using fetch() from the background script. UI Actions: If the API is missing a specific feature, Jumper can inject a script to click a button or scrape data directly from the DOM.

Use cases

“Jumper is a browser-native bridge for dashboard context and MCP workflows.
Jumper brings MCP to where you work and where you learn.”

1 The Legacy Lifter

Vendor-driven: A traditional B2B SaaS company realizes their platform is too brittle for AI agents to navigate via the DOM. Instead of spending months rebuilding their entire backend, they release a Jumper extension. Value ► Instant, agentic compatibility. The SaaS vendor can now advertise:

“Agent-ready via Jumper!”

2 The Context Lens

Powerful APIs are too big: If an LLM sees 1k endpoints, its context window blows out. It hallucinates wrong parameters. Value ► The Jumper extension is an API-curation layer. It strips away 950 irrelevant endpoints and exposes only the 50 endpoints needed for specific task. Code Mode on top of this. The agent is faster, cheaper, and makes fewer mistakes. The developer already constrained the playing field. The Content Lens ► Jumper extensions work with aggregations from huge content platforms independently. Meta Workflows will use this data without vendor lock-in.

3 The Meta Workflow

Cross-domain orchestration: A seasoned wedding planner composes exactly the tools needed to match their battle-proven workflow. They are not writing a tool for a software, they are writing a tool for an industry. Value ► The extension turns human domain expertise into an API schema. The end user AI does not need to know how to be a wedding planner. It looks at the Jumper extension, which maps out how Domain A (catering) talks to Domain B (photography). The seasoned wedding planner is selling their declarative workflow as a plug-and-play tool for other people's AI agents.