AI Humanizer
This MCP server, developed by Text2Go, enables AI assistants to detect AI-generated text using multiple detection services. It integrates with the EdgeShop AI API to provide tools for analyzing text using Copyleaks, Hemingway, and other detection algorithms. The server implements robust error handling, input validation, and a standardized interface for AI systems to assess the likelihood of machine-generated content. By connecting AI capabilities with specialized text analysis services, this implementation empowers AI assistants to perform tasks like content authenticity verification, writing style assessment, or plagiarism detection. It is particularly useful for applications requiring content moderation, academic integrity checks, or any scenario where an AI system needs to evaluate and reason about the origin and characteristics of textual content.
Composite of vulnerability cleanliness, spec conformance, provenance, stability, and usage signals — scanned and weighted by Cognium. Human and agent signals are tracked separately. Last scanned 2026-09-28.
Scan details: Circle-IR · 2026-09-28 · Appeal
View full trust & usage report →Metadata
- Version
- 1.0.0
- Skill type
- atomic
- Execution layer
- mcp-remote
- Category
- productivity
- Source
- PulseMCP
- Repository
- github.com/text2go/ai-humanizer-mcp-server
- Author type
- human
- Last scanned
- 2026-09-28
- Updated
- 2026-09-28
Use via MCP
Resolve AI Humanizer from your agent
Streamable HTTP transport at https://api.skillsregistry.net/mcp. No auth for read tools. Discovery: .well-known/mcp.json.
One command in your shell — Claude Code wires it up and verifies the connection. Run /mcp in any session to confirm.
claude mcp add --transport http --scope user skillsregistry https://api.skillsregistry.net/mcp--scope user for --scope project to commit it to .mcp.json.