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  3. Charlotte
Charlotte logo
Health: ActiveRecent health check succeeded.Last checked 9/22/2026, 11:31:55 PM

Charlotte

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 Repository179 GitHub StarsTotal stargazers on GitHub for the source repository (179 stars).Visit Website

Renders web pages into structured, agent-readable representations using headless Chromium.

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
Not yet automatically verified

We haven't yet run this listing's install command through our automated sandbox check. This isn't a red flag β€” we're steadily working through the catalog.

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": {
    "charlotte": {
      "command": "npx",
      "args": [
        "@ticktockbent/charlotte"
      ]
    }
  }
}

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 Browser Automation

Documentation Overview

Charlotte

The Web, Readable.

Your AI agent burns ~50,000 characters of accessibility tree just to look at the Hacker News front page. Charlotte does it in 364.

Charlotte is an MCP server that gives AI agents structured, token-efficient access to the web. Instead of dumping the full accessibility tree on every call, Charlotte returns only what the agent needs: a compact page summary on arrival, targeted queries for specific elements, and full detail only when explicitly requested. On content-heavy pages that orientation is up to ~140x smaller than a full accessibility-tree snapshot from Playwright MCP; on trivially small pages the two are roughly the same size.

Why Charlotte?

Most browser MCP servers dump the entire accessibility tree on every call β€” a flat text blob that can exceed a million characters on content-heavy pages. Agents pay for all of it whether they need it or not.

Charlotte decomposes each page into a typed, structured representation β€” landmarks, headings, interactive elements, forms, content summaries β€” and lets agents control how much they receive with three detail levels. When an agent navigates to a new page, it gets a compact orientation (364 characters for Hacker News) instead of the full element dump (~50,000 characters). When it needs specifics, it asks for them.

Benchmarks

Measured on Charlotte v0.8.0 against Playwright MCP v0.0.79, by characters returned per tool call on real websites (npx tsx benchmarks/run-benchmarks.ts --suite comparison), 2026-08-08. This section is a summary β€” the canonical benchmarks page (including per-task cost and release drift) is charlotte.mintlify.site/benchmarks; methodology, instruments, and raw results: benchmarks/.

Orientation cost (what an agent pays to "see" a page on arrival):

A Charlotte navigate returns a usable orientation by default β€” landmarks, headings, and interactive element counts grouped by page region. To get the equivalent with Playwright MCP, an agent calls browser_snapshot, which returns the full accessibility tree. (Playwright's browser_navigate alone returns only a short confirmation, not the page content, so it isn't a like-for-like comparison.)

SiteCharlotte navigatePlaywright browser_snapshotSmaller by
example.com4154651.1x
httpbin form6191,8473.0x
GitHub repo3,77838,98310x
Wikipedia (AI article)22,1341,137,92851x
Hacker News36450,706139x

The advantage scales with page complexity: on content-heavy pages the structured orientation is ~10–140x smaller than the full snapshot, while on a trivially small page like example.com the two are within ~20% of each other (and on a page that small, the structured representation can be the larger of the two β€” there is simply nothing to summarize away). Charlotte's value shows up precisely where Playwright's flat dump hurts most. When an agent needs more than the orientation, it calls observe or find for exactly the part it wants instead of paying for the whole tree up front.

Tool definition overhead (invisible cost per API call):

ProfileToolsDef. tokens/callSavings vs full
full438,500β€”
browse (default)234,372~49%
core72,186~75%

Tool definitions are sent on every API round-trip. With the default browse profile, Charlotte carries ~49% less definition overhead than loading all 43 tools; the minimal core profile cuts it by ~75%. See the profile benchmark report for full results.

The workflow difference: A Playwright agent that reads the full snapshot receives ~50,000 characters every time it looks at Hacker News, whether it's reading headlines or hunting for a login button. A Charlotte agent gets 364 characters on arrival, calls find({ type: "link", text: "login" }) to get exactly what it needs, and never pays for the rest.

How It Works

Charlotte maintains a persistent headless Chromium session and acts as a translation layer between the visual web and the agent's text-native reasoning. Every page is decomposed into a structured representation:

Code
β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”     MCP Protocol     β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”
β”‚   AI Agent  β”‚<────────────────────>β”‚    Charlotte     β”‚
β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜                      β”‚                  β”‚
                                     β”‚  β”Œβ”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”  β”‚
                                     β”‚  β”‚  Renderer  β”‚  β”‚
                                     β”‚  β”‚  Pipeline  β”‚  β”‚
                                     β”‚  β””β”€β”€β”€β”€β”€β”¬β”€β”€β”€β”€β”€β”€β”˜  β”‚
                                     β”‚        β”‚         β”‚
                                     β”‚  β”Œβ”€β”€β”€β”€β”€β–Όβ”€β”€β”€β”€β”€β”€β”  β”‚
                                     β”‚  β”‚  Headless  β”‚  β”‚
                                     β”‚  β”‚  Chromium  β”‚  β”‚
                                     β”‚  β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜  β”‚
                                     β””β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”€β”˜

Agents receive landmarks, headings, interactive elements with typed metadata, bounding boxes, form structures, and content summaries β€” all derived from what the browser already knows about every page.

Features

Navigation β€” navigate, back, forward, reload

Observation β€” observe (3 detail levels, structural tree view), find (spatial + semantic search, CSS selector mode, output_file for large result sets), screenshot (with persistent artifact management), screenshots, screenshot_get, screenshot_delete, diff (structural comparison against snapshots)

Interaction (iframe-aware) β€” click, click_at (coordinate-based), type (with slow typing support), select, toggle, submit, scroll, hover, drag, key (single/sequence with element targeting), wait_for (async condition polling), upload (file input), fill_form (batch form fill), dialog (accept/dismiss JS dialogs)

Monitoring β€” console (all severity levels, filtering, timestamps), requests (full HTTP history, method/status/resource type filtering)

Session Management β€” tabs, tab_open, tab_switch, tab_close, viewport (generic presets or named devices such as "iPhone 15" with DPR, touch, and user agent emulation), network (throttling, URL blocking), set_cookies, get_cookies, clear_cookies, set_headers, configure

Development Mode β€” dev_serve (static server + file watching with auto-reload), dev_inject (CSS/JS injection), dev_audit (a11y, performance, SEO, contrast, broken links)

Utilities β€” evaluate (arbitrary JS execution in page context)

Tool Profiles

Charlotte ships 43 tools (42 registered + the charlotte_tools meta-tool), but most workflows only need a subset. Startup profiles control which tools load into the agent's context, reducing definition overhead by up to ~75%.

bash
charlotte --profile browse    # 23 tools (default) β€” navigate, observe, interact, tabs
charlotte --profile core      # 7 tools β€” navigate, observe, find, click, type, submit
charlotte --profile full      # 43 tools β€” everything
charlotte --profile interact  # 31 tools β€” full interaction + dialog + evaluate
charlotte --profile develop   # 34 tools β€” interact + dev_serve, dev_inject, dev_audit
charlotte --profile audit     # 14 tools β€” navigation + observation + dev_audit + viewport

Agents can activate more tools mid-session without restarting:

Code
charlotte_tools enable dev_mode    β†’ activates dev_serve, dev_audit, dev_inject
charlotte_tools disable dev_mode   β†’ deactivates them
charlotte_tools list               β†’ see what's loaded

Self-Hosting (Charlotte Remote)

Run Charlotte as a remote MCP server and connect it to claude.ai β€” one command:

Terminal
docker run --cap-add SYS_ADMIN --shm-size 2g -p 3737:3737 ghcr.io/ticktockbent/charlotte

It prints a public connector URL and an operator token. In claude.ai: Settings β†’ Connectors β†’ Add custom connector β€” paste the URL, leave the OAuth Client ID/Secret fields blank, and enter the token on Charlotte's consent page when it appears. That's it; you're browsing.

The demo URL and token are ephemeral (both rotate on restart). Running it for real β€” stable domain, your own tunnel or reverse proxy, docker compose: Self-Hosting. Trust model and network guards: Security. Container and sandbox internals: Docker.

Quick Start

Prerequisites

  • Node.js >= 20
  • npm

Installation

Charlotte is listed on the MCP Registry as io.github.TickTockBent/charlotte and published on npm as @ticktockbent/charlotte:

Terminal
npm install -g @ticktockbent/charlotte

Docker images are available on Docker Hub and GitHub Container Registry:

bash
# Alpine (default, smaller)
docker pull ticktockbent/charlotte:alpine

# Debian (if you need glibc compatibility)
docker pull ticktockbent/charlotte:debian

# Or from GHCR
docker pull ghcr.io/ticktockbent/charlotte:latest

Or install from source:

bash
git clone https://github.com/ticktockbent/charlotte.git
cd charlotte
npm install
npm run build

Run

Charlotte communicates over stdio using the MCP protocol:

bash
# If installed globally (default browse profile)
charlotte

# With a specific profile
charlotte --profile core

# If installed from source
npm start

MCP Client Configuration

Claude Code

Create .mcp.json in your project root:

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

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Adoption & maintenance

Factual signals from GitHub, npm, and our automated checks β€” not a rating.

GitHub stars
179
Stargazers on the source repository.
Last commit
1mo ago
Most recent push to the default branch.
Directory activity
1 views
Config copies, upvotes, and views on AllMCPs.

Reviews

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Frequently Asked Questions about Charlotte

Add the following block to your claude_desktop_config.json under mcpServers: "mcpServers": { "charlotte": { "command": "npx", "args": ["@ticktockbent/charlotte"] } }

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Technical Specs & Signals

CategoryπŸ“‚Browser Automation
More technical detailsExpand β–Ύ
TransportSTDIO
RuntimeNode.js
Last updatedAug 21, 2026
2/6 checks healthy over the last 46d
Views1
Unique ViewsTotal visits recorded for this listing page on AllMCPs.
Installs0
Installs & Copy ActionsTotal times users copied install commands or configuration snippets for this server.
GitHub stars179
GitHub Star CountTotal stargazers on GitHub representing community popularity (179 stars).
Last commit1mo ago
Last Repository CommitThe most recent commit or push recorded for this server's GitHub repository.Last commit on Aug 21, 2026
44Quality signal: Fair Β· 44/100How 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 ownership10/20
Documentation & tools16/30
Adoption & activity7/15
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.

Supply-chain signal

No high-severity advisories surfaced by our automated scan.

Critical 0High 0Medium 0Low 0

Scanned 6d ago via OSV.dev Β· @ticktockbent/charlotte (npm)

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