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ryterpro-mcp

ryterpro-mcp

Ryter Pro MCP Server

An MCP server that exposes the Ryter Pro text humanizer API as a tool for MCP-compatible clients.

Tools

humanize_text

Humanize or rewrite text with the Ryter Pro API.

Inputs:

  • text: Text to humanize.

  • mode: Optional humanizer mode supported by your Ryter Pro API.

ryterpro_api_info

Return basic API configuration and documentation links.

Related MCP server: AI Humanizer MCP Server

Installation

Requires Python 3.10 or later.

pip install ryterpro-mcp

Configuration

Set your Ryter Pro API key before running the server:

export RYTERPRO_API_KEY="your_api_key_here"

Optional environment variables:

export RYTERPRO_BASE_URL="https://api.ryter.pro"
export RYTERPRO_TIMEOUT="60"

Run

ryterpro-mcp

The server uses the MCP stdio transport by default.

MCP Client Example

{
  "mcpServers": {
    "ryterpro": {
      "command": "ryterpro-mcp",
      "env": {
        "RYTERPRO_API_KEY": "your_api_key_here"
      }
    }
  }
}

For local development from this repository:

{
  "mcpServers": {
    "ryterpro": {
      "command": "python3",
      "args": ["-m", "ryterpro_mcp.server"],
      "env": {
        "RYTERPRO_API_KEY": "your_api_key_here"
      }
    }
  }
}

License

MIT

Available Tools

2 tools
humanize_textD

Humanize text using the Ryter Pro API.

Inputs: text (required), mode. Returns: result

ryterpro_api_infoA

Return Ryter Pro MCP server configuration and documentation links.

Inputs: no named parameters. Returns: result

Tool Schema Changelog

Recent tool additions, removals, and schema changes observed during successful MCP inspections.

Loading tool schema changelog…

    TDQS

    C2.7/5.0

    Scored across 2 tools

    Disambiguation5/5

    The two tools serve clearly distinct purposes: one performs text humanization, the other provides API configuration and documentation. There is no overlap or ambiguity.

    Naming Consistency4/5

    Mostly consistent with 'humanize_text' following a verb_noun pattern, while 'ryterpro_api_info' is more noun-oriented. The deviation is minor and both names are clear.

    Tool Count3/5

    With only 2 tools, the server feels thin for a text-processing API, but the scope is narrow enough that the count is acceptable.

    Completeness4/5

    The core functionality of humanizing text is covered, and the info tool provides necessary context. Minor gaps like batch processing or configuration options are not essential for the stated purpose.

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