MCP server
Textstats
io.github.pipeworx-io/textstats
Checked 26 Oct 2026, 08:29 UTC · Connected to it and listed its tools
Text statistics & readability MCP.
Working at last checkOfficial: pipeworx.io's GitHub account (pipeworx-io)About 26,671 tokens per request once connected44 tools
https://gateway.pipeworx.io/textstats/mcp
At a glance
- Type
- MCP server
- Publisher
- pipeworx.io (verified by the MCP Registry)
- Status
- Working at last check
- Tools
- 44
- Token cost
- About 26,671 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
Connect it to your agent
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 textstats https://gateway.pipeworx.io/textstats/mcp
Claude Desktop
Settings → Connectors → Add custom connector, and paste the URL.
Codex (config.toml)
[mcp_servers.textstats] url = "https://gateway.pipeworx.io/textstats/mcp"
Gemini CLI
{"mcpServers":{"textstats":{"httpUrl":"https://gateway.pipeworx.io/textstats/mcp"}}}
Cursor
{"mcpServers":{"textstats":{"url":"https://gateway.pipeworx.io/textstats/mcp"}}}
VS Code
{"servers":{"textstats":{"type":"http","url":"https://gateway.pipeworx.io/textstats/mcp"}}}
Antigravity
agy mcp add textstats https://gateway.pipeworx.io/textstats/mcp
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":"textstats","server_url":"https://gateway.pipeworx.io/textstats/mcp","require_approval":"always"}
Grok (xAI API tools)
{"type":"mcp","server_label":"textstats","server_url":"https://gateway.pipeworx.io/textstats/mcp"}
Tools
readability~176 tokens
Compute readability scores (keyless, offline): Flesch Reading Ease (0-100, higher = easier) and Flesch-Kincaid Grade Level, with the underlying word/sentence/syllable counts. Uses a syllable-estimation heuristic.text_stats~192 tokens
Compute text statistics (keyless, offline): character counts (with/without spaces), word/sentence/paragraph counts, estimated reading time (200 wpm), average word length, and the longest word.
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