charlotte MCP Server
TickTockBent/charlotte
[](https://agentrank-ai.com/tool/TickTockBent--charlotte/?utm_source=badge&utm_medium=readme&utm_campaign=agentrank_badge) Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps
claude mcp add agentrank -- npx -y agentrank-mcp-server Overview
TickTockBent/charlotte is a TypeScript MCP server licensed under MIT. Token-efficient browser MCP server — structured web pages for AI agents, not raw accessibility dumps Topics: ai-agents, mcp, mcp-server, model-context-protocol, typescript, web-browsing, web-scraping.
Ranked #262 out of 24846 indexed tools.
In the top 2% of all indexed tools.
Has 16 contributors.
Ecosystem
Score Breakdown
181 stars → growing community
Last commit 19d ago → recently updated
106/114 issues closed → responsive maintainer
16 contributors → active community
No dependents → no downstream usage
Weights: Freshness 20% · Issue Health 20% · Dependents 22% · Stars 10% · Contributors 8% · How we score →
Matched Queries
From the README
# 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](https://github.com/microsoft/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 — 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, sRead full README on GitHub →
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