MCP server

Speed Reader

com.archerionlabs/speedread

Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools

Turn any article, document, or chat reply into a one-word-at-a-time RSVP reading session.

Working at last checkVerified publisher: archerionlabs.comAbout 295 tokens per request once connected1 tools

https://archerionlabs.com/mcp/speedread

At a glance

Type: MCP server
Publisher: archerionlabs.com (verified by the MCP Registry)
Status: Working at last check
Tools: 1
Token cost: About 295 tokens per request
Sets up in: Claude Code, Claude Desktop, Codex, Gemini CLI, Cursor, VS Code, Antigravity, ChatGPT, OpenAI API, Grok
Last checked: 26 Oct 2026, 08:29 UTC

Opens the app, which shows the server and asks you to confirm. For other apps, copy the setup below.

Claude Code

claude mcp add --transport http speedread https://archerionlabs.com/mcp/speedread

Claude Desktop

Settings → Connectors → Add custom connector, and paste the URL.

Codex (config.toml)

[mcp_servers.speedread]
url = "https://archerionlabs.com/mcp/speedread"

Gemini CLI

{"mcpServers":{"speedread":{"httpUrl":"https://archerionlabs.com/mcp/speedread"}}}

Cursor

{"mcpServers":{"speedread":{"url":"https://archerionlabs.com/mcp/speedread"}}}

VS Code

{"servers":{"speedread":{"type":"http","url":"https://archerionlabs.com/mcp/speedread"}}}

Antigravity

agy mcp add speedread https://archerionlabs.com/mcp/speedread

ChatGPT

Settings → Apps & Connectors → Advanced settings: turn on Developer mode, then Create a connector and paste the URL. Which plans can do this varies.

OpenAI API (Responses tools)

{"type":"mcp","server_label":"speedread","server_url":"https://archerionlabs.com/mcp/speedread","require_approval":"always"}

Grok (xAI API tools)

{"type":"mcp","server_label":"speedread","server_url":"https://archerionlabs.com/mcp/speedread"}

speed_read ~295 tokens
Render a Speed Reader for the provided text. The user can speed-read articles, documents, or any wall of text via Rapid Serial Visual Presentation (RSVP) with density-aware pacing. WHEN TO CALL: Whenever the user wants to "speedread", "speed read this", "read fast", or asks to consume long text qui

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