https://mcp.moltlinestudio.com/humanizer
Scanned Aug 16, 2026
Upgrade available
Your server uses protocol 2025-06-18. The latest version is 2025-11-25 with session management, origin validation, and notification support.
No authentication required — server is open to anonymous access, which may be intentional for public tools
Multiple similar MCP servers exist. Consider differentiating with unique features.
Server responded to ping
Valid Mcp-Session-Id assigned (32 chars)
Server correctly rejects invalid MCP-Protocol-Version with 400
Server correctly rejects malformed JSON-RPC with 400
Server correctly rejects invalid Origin with 403
Server returns 405 for DELETE (acceptable — session termination not supported)
Server returns 202 Accepted for JSON-RPC notifications
Server info: name, version
No OAuth? That's OK
OAuth is optional, but consider it for production deployments to protect your server from unauthorized access.
external: file, build, ci; LLM-native: rewrite
5+ similar servers — crowded space
Domain "email" has broad developer audience
Competitors found
I spent the first version of my MCP server having tools return nice human-readable summaries. Formatted strings, little narrative recaps, ...
Learn how to evaluate MCP-powered AI agents beyond simple accuracy using the Agent GPA framework. In this hands-on workshop, ...
Anthropic proposed the Model Context Protocol (MCP) so that AI agents can discover tools using a standard client-server protocol and invoke them ...
Building MCP-powered voice agents that seamlessly combine multiple tools showcases the power of agentic AI in real-world applications. How do ...
MCP servers are local or remote endpoints where tools and resources are defined. MCP clients are the connection from an AI application to MCP ...
“ai_tell_scan: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”
“voice_fingerprint: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”
“burstiness_report: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”
“humanize_plan: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”
“verify_rewrite: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”
Publish on MCPize
Get OAuth, billing, and discovery for free. Your server scored A — developers are looking for this.
Get Started →