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text-stats-ai-mcp

text-stats-ai-mcp

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github.com/CSOAI-ORGData & Analytics0Updated 8w ago
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About text-stats-ai-mcp

text-stats-ai-mcp is an MCP server for text statistics, with tools for word count, reading time, and keyword density. It is suited to workflows that need automated text metrics.

Key features

  1. 01Count words
  2. 02Estimate reading time
  3. 03Calculate keyword density

Use cases

  1. 01Check text length
  2. 02Estimate content reading time
  3. 03Analyze keyword proportions

MCP support

The MCP server exposes text-statistics tools to MCP clients, including word_count, reading_time, and keyword_density.

Configuration

Local server config is the same for every client. Copy it into your client’s MCP config file.

mcp.json · Universal config
{
  "mcpServers": {
    "csoai-org-text-stats-ai": {
      "command": "uvx",
      "args": [
        "text-stats-ai-mcp"
      ]
    }
  }
}
Run commanduvx text-stats-ai-mcp

Local servers need a runtime on your machine (e.g. Node.js 18+). Config file locations differ by client; see your client’s docs.

Packages
pypitext-stats-ai-mcp1.0.11

Tools

No tool list yet

Local servers expose tools only once running on your machine, and the maintainer has not provided a tool list.

Details

From the project README

MCP Scorecard: 86/100

Text Stats Ai MCP

MEOK AI Labs GSPC License PyPI mcp-name: io.github.CSOAI-ORG/text-stats-ai-mcp

Text Stats Ai

PyPI Python

By MEOK AI Labs — MEOK AI Labs MCP Server

Text Stats MCP — automation tooling for text stats

Text Stats MCP — automation tooling for text stats. MIT.

🚀 Quick Start

# Install via pip
pip install text_stats_ai_mcp

# Or install via Smithery
npx -y @smithery/cli@latest install text-stats-ai-mcp --client claude

✨ Features

  • MCP protocol compliant
  • Easy installation
  • Well-documented API
  • Production-ready
  • Active maintenance

📖 Documentation

🛡️ Compliance

This MCP server is built with EU AI Act compliance built-in:

  • ✅ Article 9 — Risk Management System
  • ✅ Article 13 — Transparency & Instructions for Use
  • ✅ Article 15 — Bias Detection & Testing
  • ✅ Article 26 — FRIA Support (where applicable)
  • ✅ Article 50 — AI Content Watermarking (where applicable)

Need help getting compliant? Book a free 15-min diagnostic →

🏢 Enterprise

Need custom development, SLA guarantees, or white-label deployment?

  • Pro: $99/mo — Full MCP suite + EU AI Act tracking
  • Enterprise: $499/mo — Custom dev + SLA + Dedicated support

View Pricing → | Contact Sales →

🤝 Part of the MEOK Ecosystem

This server is part of the MEOK AI Labs ecosystem — 300+ MCP servers for sovereign AI governance.

DomainPurpose
councilof.aiEU AI Act compliance marketplace
safetyof.aiAI safety & monitoring
meok.aiSovereign AI platform
cobolbridge.aiLegacy modernization

📜 License

MIT © CSOAI-ORG

Built with 💜 by MEOK AI Labs · UK Companies House 16939677

MIT — MEOK AI Labs

Pairs with MEOK Governance Suite

Build something that touches users? You need compliance. MEOK ships 38 governance MCPs that drop in alongside this tool — EU AI Act, DORA, NIS2, CRA, GDPR, ISO 42001, FDA SaMD, MDR, Basel, MiFID II, MiCA, COPPA, and more.

# One-shot install of the governance pack
npx meok-setup --pack governance

Free tier: 10 calls/day per MCP. Pro tier (£79/mo): unlimited + cryptographically signed compliance attestations your auditor verifies independently.

→ Full catalogue: councilof.ai/catalogue → MEOK AI Labs: meok.ai

💸 Try MEOK in 30 seconds — instant buy ladder

TierPriceWhat you getStripe
Smoke test£1Signed sample MCP-Hardening report + Article 50 PDFhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Quick Kit£9EU AI Act Article 50 implementation guide (C2PA + EU-Icon)https://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t
Founder Call£2930-min 1-on-1 with the founderhttps://buy.stripe.com/aFa7sNcgAdQS0ZT1Uc8k91t

Refundable. UK Stripe — VAT-clean. Builds on the 81-MCP MEOK fleet. Verify any signed report at https://meok.ai/verify.

Configuration

Add to your claude_desktop_config.json (Claude Desktop) or your MCP client config:

{
  "mcpServers": {
    "text-stats-ai-mcp": {
      "command": "uvx",
      "args": ["text-stats-ai-mcp"]
    }
  }
}

Or: pip install text-stats-ai-mcp then run the text-stats-ai-mcp command (stdio transport).

Examples

Once configured, ask your assistant, for example:

  • "Use word_count to …"
  • "Use reading_time to …"
  • "Use keyword_density to …"

Comments

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