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Perspective API Alternative (Toxicity Detection)

Registre officiel IA et agents

Toxicity scores (0-1) for text before an agent posts it. Perspective API compatible. No LLM.

Code source Site web Documentation

Installation

Ajoutez ceci à la configuration MCP de votre client (Claude Desktop : claude_desktop_config.json ; Cursor : .cursor/mcp.json ; VS Code et les autres utilisent la même forme « mcpServers »).

Remote (streamable-http)
Claude Code 
claude mcp add --transport http perspective-api-alternative-toxicity-det 'https://koyourmoon--perspective-api-alternative.apify.actor/mcp' --header 'Authorization: <Bearer <your Apify API token>>'
Configuration JSON (Claude Desktop, Cursor, VS Code) 
{
    "mcpServers": {
        "perspective-api-alternative-toxicity-det": {
            "type": "http",
            "url": "https://koyourmoon--perspective-api-alternative.apify.actor/mcp",
            "headers": {
                "Authorization": "<Bearer <your Apify API token>>"
            }
        }
    }
}

Documentation

Tirée du README du projet sur GitHub, actualisée chaque semaine. Les liens ouvrent GitHub.

Sommaire
  1. Perspective API Alternative: Toxicity Detection MCP Server
  2. How the server operates
  3. Requirements
  4. Installation
  5. Tool: analyze_toxicity
  6. Environment variables
  7. Prices
  8. Remote connection (optional)
  9. Files
  10. Links
  11. License

Perspective API Alternative: Toxicity Detection MCP Server

This repository contains an MCP server for the stdio transport. The server gives AI agents one tool, analyze_toxicity. Use the tool to examine text before an agent publishes it.

The tool returns six scores from 0 to 1 and a flagged value for each text:

  • TOXICITY, SEVERE_TOXICITY, INSULT, PROFANITY, THREAT, IDENTITY_ATTACK

The scores come from the open-source Detoxify model. The model is not an LLM. Thus, the same text always gets the same score. English only.

The request and response format is the same as the format of the Google Perspective API. Google stops the Perspective API on December 31, 2026.

How the server operates

The server implementation is server.py in this repository. It uses only the Python standard library (Python 3.9 or later).

  • The server reads JSON-RPC messages from stdin and writes the responses to stdout.
  • The server answers initialize, ping and tools/list itself. These messages do not need a token.
  • For tools/call, the server sends the texts to the toxicity API on Apify, and returns the scores.
  • The toxicity API runs the Detoxify model. You pay for each call through your Apify account.

Requirements

  • Python 3.9 or later, or Docker
  • An Apify API token in the APIFY_TOKEN environment variable

To get a token, open the Apify Console. Then go to Settings > API & Integrations.

Installation

Python
  1. Clone the repository:
     git clone https://github.com/koyourmoon/perspective-api-alternative-mcp.git
  2. Add the server to the configuration of your MCP client:
     {
   "mcpServers": {
     "perspective-api-alternative": {
       "command": "python",
       "args": ["/path/to/perspective-api-alternative-mcp/server.py"],
       "env": { "APIFY_TOKEN": "<APIFY_TOKEN>" }
     }
   }
 }
Docker
  1. Build the image:
     docker build -t perspective-api-alternative-mcp .
  2. Add the server to the configuration of your MCP client:
     {
   "mcpServers": {
     "perspective-api-alternative": {
       "command": "docker",
       "args": ["run", "-i", "--rm", "-e", "APIFY_TOKEN", "perspective-api-alternative-mcp"],
       "env": { "APIFY_TOKEN": "<APIFY_TOKEN>" }
     }
   }
 }

Tool: analyze_toxicity

ParameterTypeDescription
textsarray of strings, required1 to 100 English texts to score
attributesarray of stringsAttributes to return. The default is all six.
thresholdnumberTOXICITY score at which a text is flagged. The default is 0.5.

Example result for one text:

{
  "results": [
    {
      "text": "You are an idiot.",
      "scores": { "TOXICITY": 0.98, "INSULT": 0.95, "PROFANITY": 0.62 },
      "flagged": true,
      "billed_units": 1
    }
  ]
}

If a text looks non-English, the result has a warning field. The scores for that text are not reliable.

Environment variables

NameRequiredDescription
APIFY_TOKENYes, for tools/callYour Apify API token
PERSPECTIVE_ALT_URLNoA different URL for the toxicity API

Prices

  • $0.50 for 1,000 text units. A text unit is each started 1,000 characters of a text. Most comments are 1 unit.
  • Lower prices for Apify Bronze, Silver and Gold plans.
  • The first call after an idle period of 60 seconds can take 10 to 30 seconds (cold start).

Remote connection (optional)

You can also connect your MCP client directly to the toxicity API. This connection does not use server.py.

ItemValue
TransportStreamable HTTP
URLhttps://koyourmoon--perspective-api-alternative.apify.actor/mcp
AuthenticationAuthorization: Bearer <APIFY_TOKEN>

Files

FileContent
server.pyThe MCP server
DockerfileThe container image for the server
glama.jsonThe maintainer data for Glama
server.jsonThe entry for the official MCP Registry

License

MIT. This project is not affiliated with Google or Jigsaw. "Perspective API" is a trademark of Google LLC.

Questions fréquentes

Qu'est-ce que Perspective API Alternative (Toxicity Detection) ?

Toxicity scores (0-1) for text before an agent posts it. Perspective API compatible. No LLM.

Comment installer Perspective API Alternative (Toxicity Detection) ?

Il fonctionne comme serveur distant. Dans Claude Code : claude mcp add --transport http perspective-api-alternative-toxicity-det 'https://koyourmoon--perspective-api-alternative.apify.actor/mcp' --header 'Authorization: <Bearer <your Apify API token>>'. Pour les autres clients, collez la configuration JSON de cette page dans leurs réglages MCP.

Faut-il une clé API pour Perspective API Alternative (Toxicity Detection) ?

Oui. Il attend Authorization, à renseigner dans sa configuration.

Perspective API Alternative (Toxicity Detection) est-il open source ?

Oui. Son code est sur GitHub sous licence MIT.

Qui maintient Perspective API Alternative (Toxicity Detection) ?

Il est publié par koyourmoon. AI.tn le référence sans le maintenir ni le recommander.

Issu du registre MCP officiel. Être listé n'est pas une recommandation : vérifiez le code et les permissions d'un serveur avant de lui donner accès à vos données.