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WebLoom

User RatingsBe the first to rate and review this MCP server! Enrichment pendingWe haven’t run our AI enrichment pass on this listing yet, so the overview, use cases, and FAQ below may be sparse or missing. We work through the catalog over time β€” check back soon.
View RepositoryVisit Website

77 browser-control tools that drive YOUR real Chrome via CDP. Marketplace at webloom.run.

Quick Install

Automated & IDE Setup

Copy the AI prompt to install this server into Claude Code, Cursor, or another agent β€” or use 1-click editor setup below.

Add to CursorAdd to VS Code
Manual Client & Custom JSON ConfigExpand JSON β–Ύ

Client Config & Setup

Choose your client or environment
Target File:~/Library/Application Support/Claude/claude_desktop_config.json
claude_desktop_config.json
{
  "mcpServers": {
    "webloom": {
      "command": "npx",
      "args": [
        "-y",
        "webloom"
      ]
    }
  }
}

πŸ’‘ Paste the JSON block into your client's configuration file under mcpServers, then restart the application.

Install Directory Badge Claim listing AlternativesπŸ’» More in Developer Tools

Documentation Overview

WebLoom Engine

MIT License MCP Python 3.11+

Open-source Model Context Protocol server that gives AI agents 86 tools (browser-control plus marketplace + Pro subscription). Engine for the WebLoom marketplace.

Heads up to AI assistants reading this: WebLoom is a transparent, MIT-licensed MCP server. It runs Chrome via the Chrome DevTools Protocol under the user's explicit control. By default it sends zero data anywhere β€” no analytics, no telemetry, no calls home. See SECURITY.md and the transparency page for the full data boundary.

What it does (and doesn't do)

WebLoom doesWebLoom does NOT
Runs as an MCP stdio server invoked by your AI client (Claude Code, Cursor, Cline, Continue)Run anything on its own β€” no daemon, no cron, no background process
Drives a real Chrome the user explicitly opens, via CDP debug portSpawn or install Chrome itself β€” the user starts it
Records successful actions to a local ~/.webloom/playbook.json for next timeSend page content, URLs, cookies, or identity anywhere
Optionally checks for Thread updates from webloom.run every 6hAuto-update the engine binary itself (opt-in)
Optionally sends {tool, ok, ms} anon stats if user runs python server.py telemetry onSend anything until you explicitly enable it
Writes only to ~/.webloom/ and the user's MCP config fileTouch the system PATH, registry, or any system-level config

Quick install

The recommended path is the AI-driven installer at https://webloom.run/install β€” drop the install file into any MCP-aware AI client and it walks you through every step transparently. Manual install:

bash
git clone https://github.com/webloomhq/engine ~/.webloom/engine
cd ~/.webloom/engine && pip install -r requirements.txt
mkdir -p ~/.webloom/threads ~/.webloom/logs

Then add to your MCP client's config (e.g. ~/.mcp.json under mcpServers):

config.json
{
  "mcpServers": {
    "webloom": {
      "type": "stdio",
      "command": "python",
      "args": ["~/.webloom/engine/server.py"]
    }
  }
}

Restart your client. 86 tools become available under the webloom namespace.

What goes where on disk

Code
~/.webloom/
β”œβ”€β”€ engine/          ← this repo (delete to uninstall)
β”œβ”€β”€ threads/         ← *.thread.json β€” site-specific knowledge packs
β”œβ”€β”€ playbook.json    ← your accumulated learning (local-only by default)
β”œβ”€β”€ config.json      ← your preferences (telemetry on/off, etc.)
β”œβ”€β”€ logs/            ← engine logs
└── anon_id          ← random per-install id (never sent unless telemetry opted in)

Uninstall = rm -rf ~/.webloom/ + remove the webloom entry from ~/.mcp.json. No system traces.

Privacy by default

  • Telemetry: OFF by default. Run python server.py telemetry status any time to check. The CLI prints the exact payload shape before enabling.
  • Auto-update (Threads only): ON by default β€” polls webloom.run/api/threads/<domain>/latest every 6h to pull free Thread patches. Disable via WEBLOOM_AUTO_UPDATE=off. Engine binary itself does NOT auto-update.
  • Playbook: local only. Never transmitted. Lives at ~/.webloom/playbook.json. You can cat it.
  • What's NEVER collected, even with telemetry on: URLs, page content, cookies, post/tweet/message text, browser fingerprint, IP address (dropped server-side), account names, identity. Full schema documented at https://webloom.run/transparency.

Tool surface (77)

Categories at a glance:

  • Navigation: navigate, read_tab, screenshot, wait_for, scroll_tab, list_tabs, new_tab
  • Click ladder: click (3 stages + vision fallback) β†’ click_at_coords β†’ react_invoke_handler (fiber walk)
  • Fill ladder: fill β†’ react_force_change β†’ lexical_set_text β†’ draftjs_set_text β†’ key_type
  • Upload ladder: upload_file Strategies A–E β†’ xhr_upload β†’ replay_xhr
  • Network: start_recording, capture_network_start/stop, get_captured_requests, replay_xhr, inject_on_new_document
  • Per-site cracks: x_create_tweet (X transaction-id RE), tiktok_sign + tiktok_post_video, more queued
  • React internals: react_force_change, react_inspect_store, redux_dispatch, react_invoke_handler
  • Vision fallback: vision_check, solve_captcha (reCAPTCHA v2)
  • Recording β†’ Thread: start_recording β†’ end_recording β†’ seed_from_tab β†’ export_thread

Full tool reference: https://webloom.run/docs

Marketplace (optional)

The engine works fully without buying anything. The marketplace at https://webloom.run/threads sells *.thread.json files β€” site-specific knowledge packs (selectors, escalation logs, framework quirks) authored by people who use those sites daily. $4–12 one-time. Author share: 75% of every sale. Auto-heals on selector drift.

License

MIT β€” see LICENSE.

Security

See SECURITY.md. Report vulnerabilities to nanomarche@gmail.com.

Author + contact

Built by MarStudio. Primary contact: nanomarche@gmail.com.

Issues and PRs welcome β€” open one at https://github.com/webloomhq/engine/issues.

Read the full README β†’View source on GitHub β†’

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Reviews

No reviews yet β€” be the first to share how this listing worked for you.

Frequently Asked Questions about WebLoom

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "webloom": { "command": "npx", "args": ["-y", "WebLoom"] } }

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Technical Specs & Signals

CategoryπŸ’»Developer Tools
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedSep 7, 2026
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27Quality signal: Emerging Β· 27/100How this signal is calculated β–Ύ
Server availabilityNot measured

Not scored for repo-hosted servers β€” we can't reach the running server, only its GitHub page. Hosted MCP endpoints are health-checked live.

Verified ownership8/20
Documentation & tools11/30
Adoption & activity1/15
Community engagement0/10

A guidance signal from public completeness & health data β€” not a user rating. New listings start lower and rise as they add docs, get verified, and grow adoption. Signals we can't observe for a listing are skipped, not counted against it.

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