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scrollDynasty/multi-agent-browser-mcp

Multi-agent browser MCP runtime for isolated, persistent, parallel Playwright sessions. Run multiple AI agents without shared tabs or browser state.

4 stars
0 forks
TypeScript
momentum ▲ 8.0
created 2026-08-12
on radar since 2026-08-17
star trend 3 → 4 since 2026-08-17
ai-agentai-agentsbrowser-agentbrowser-automationbrowser-sessionllmmcpmodel-context-protocolmulti-agentparallelplaywright
View on GitHub ↗Homepage ↗

About multi-agent-browser-mcp

Local browser execution for MCP clients, with isolated sessions and explicit page addressing.

- Documentation - Getting started - MCP tool reference

BrowserMesh lets Claude Code, Codex, Cursor, Qwen, and other MCP-compatible clients operate independent Chromium sessions through one local MCP server. Each ready session owns a separate BrowserContext; every page operation names its sessionId and pageId.

The external client reasons and plans. BrowserMesh executes browser operations, enforces isolation, orders work within each session, and returns structured results.

Example: test checkout as a customer while a separate admin session verifies the order.

Install the Playwright-managed Chromium build used by BrowserMesh:

Add BrowserMesh to your MCP client configuration:

The exact configuration shape depends on the client. BrowserMesh reports its installed package version in serverInfo.version during MCP initialization.

Check a local installation without starting the MCP transport:

Chromium and BrowserMesh remain on the user's machine. No hosted BrowserMesh service is required. If Chromium is missing, MCP discovery remains available and browsersessioncreate returns an actionable BROWSERERROR.

BrowserMesh v0.1 is intentionally small: one local Node.js process, one Chromium process, and one non-persistent BrowserContext for every ready session.

- explicit session and page addressing; - isolated browser contexts and page ownership checks; - navigation, inspection, interaction, waits, capture, and persistence; - per-session serialization with parallel execution across indep

From the project README.

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