Perspective API
Integrates with Perspective API to analyze text toxicity and provide content moderation across multi...
To obtain your Perspective API key and configure the Perspective MCP Server, follow these steps:
Create a Google Cloud Project:
- Sign in to the Google Cloud Console with your Google Account.
- Click on the project dropdown in the top navigation bar and select "New Project."
- Enter a project name and click "Create."
Request Access to the Perspective API:
- Complete the Perspective API Access Request Form to request access.
- Provide your Google Cloud Project ID (found in your project's settings) in the form.
- Wait for an email confirmation from Google approving your access.
Enable the Perspective API:
- Once approved, go to the Perspective Comment Analyzer API page in the Google Cloud Console.
- Click "Enable" to activate the API for your project.
Generate an API Key:
- In the Google Cloud Console, navigate to "APIs & Services" > "Credentials."
- Click on "Create Credentials" and select "API Key."
- Copy the generated API key.
Configure the Perspective MCP Server:
In your MCP settings file, add the following configuration:
{ "mcpServers": { "perspective": { "command": "npx", "args": [ "-y", "@mtane0412/perspective-mcp-server" ], "env": { "PERSPECTIVE_API_KEY": "your-api-key" } } } }Replace
"your-api-key"with the API key you obtained in the previous step.
Fill in the FastMCP Connection Interface:
- Open the FastMCP connection interface.
- Enter the API key in the appropriate field to establish the connection.
By following these steps, you'll successfully obtain and configure your Perspective API key for use with the Perspective MCP Server.
Quick Start
Choose Connection Type for
Authentication Required
Please sign in to use FastMCP hosted connections
Configure Environment Variables for
Please provide values for the following environment variables:
started!
The MCP server should open in . If it doesn't open automatically, please check that you have the application installed.
Copy and run this command in your terminal:
Make sure Gemini CLI is installed:
Visit Gemini CLI documentation for installation instructions.
Make sure Claude Code is installed:
Visit Claude Code documentation for installation instructions.
Installation Steps:
Configuration
Installation Failed
More for AI and Machine Learning
View All →Blender
Experience seamless AI-powered 3D modeling by connecting Blender with Claude AI via the Model Context Protocol. BlenderMCP enables two-way communication, allowing you to create, modify, and inspect 3D scenes directly through AI prompts. Control objects, materials, lighting, and execute Python code in Blender effortlessly. Access assets from Poly Haven and generate AI-driven models using Hyper3D Rodin. This integration enhances creative workflows by combining Blender’s robust tools with Claude’s intelligent guidance, making 3D content creation faster, interactive, and more intuitive. Perfect for artists and developers seeking AI-assisted 3D design within Blender’s environment.
Video Edit (MoviePy)
MoviePy-based video editing server that provides comprehensive video and audio processing capabilities including trimming, merging, resizing, effects, format conversion, YouTube downloading, and text/image overlays through an in-memory object store for chaining operations efficiently.
ElevenLabs
Unleash powerful Text-to-Speech and audio processing with the official ElevenLabs MCP server. It enables MCP clients like Claude Desktop, Cursor, and OpenAI Agents to generate speech, clone voices, transcribe audio, and create unique sounds effortlessly. Customize voices, convert recordings, and build immersive audio scenes with easy-to-use APIs designed for creative and practical applications. This server integrates seamlessly, expanding your AI toolkit to bring rich, dynamic audio experiences to life across various platforms and projects.
TypeScript Refactoring
Provides TypeScript/JavaScript code analysis and refactoring capabilities using ts-morph, enabling intelligent code transformations with symbol renaming, file moving with import path corrections, cross-file reference updates, type signature analysis, and module dependency exploration across entire codebases.
Dual-Cycle Reasoner
Provides dual-cycle metacognitive reasoning framework that detects when autonomous agents get stuck in repetitive behaviors through statistical anomaly detection and semantic analysis, then automatically diagnoses failure causes and generates recovery strategies using case-based learning.
Ultra (Multi-AI Provider)
Unified server providing access to OpenAI O3, Google Gemini 2.5 Pro, and Azure OpenAI models with automatic usage tracking, cost estimation, and nine specialized development tools for code analysis, debugging, and documentation generation.