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moltline-humanizer

https://mcp.moltlinestudio.com/humanizer

Scanned Sep 5, 2026

A94/100
Clarity
100
Protocol
95
Auth
0
Reliability
100
Trust
100
Safety
87
Market
65

Upgrade available

Your server uses protocol 2025-06-18. The latest version is 2025-11-25 with session management, origin validation, and notification support.

Strengths & Weaknesses

Clarity (100)Protocol (95)Auth (0)Reliability (100)Trust (100)Safety (87)Market (65)

Top Issues

2 found
MEDIUM

No authentication required — server is open to anonymous access, which may be intentional for public tools

MEDIUM

Multiple similar MCP servers exist. Consider differentiating with unique features.

Protocol & Capabilities

Transport:Streamable HTTP✓
Protocol:2025-06-18✓
SSE Support:Yes✓
Session ID:Yes✓
Protocol Checks
✓
Ping

Server responded to ping

✓
Session ID

Valid Mcp-Session-Id assigned (32 chars)

✓
Version Header Validation

Server correctly rejects invalid MCP-Protocol-Version with 400

✓
JSON-RPC Validation

Server correctly rejects malformed JSON-RPC with 400

✓
Origin Header

Server correctly rejects invalid Origin with 403

✓
Session Termination (DELETE)

Server returns 405 for DELETE (acceptable — session termination not supported)

✓
Notification Handling (202)

Server returns 202 Accepted for JSON-RPC notifications

!
Server Info

Server info: name, version

Server Capabilities
✓Tools
✓Resources
✓Prompts
○Completions
○Tasks
✓Logging

Auth

○

No OAuth? That's OK

OAuth is optional, but consider it for production deployments to protect your server from unauthorized access.

Trust

✓Latency: 150ms
✓HTTPS
✓Custom domain detected
✓Name: moltline-humanizer, Version: 1.1.0
✓Structured errors

Market

UniquenessCan it be done with an LLM alone?
8/10

external: file, build, ci; LLM-native: rewrite

OriginalityHow many similar servers exist?
1/10

5+ similar servers — crowded space

DemandHow broad is the audience?
7/10

Domain "email" has broad developer audience

Competitors found

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Tools (5 tools)

ai_tell_scanRead85

“ai_tell_scan: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”

!Naming:10/15
✓Description:20/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
voice_fingerprintRead80

“voice_fingerprint: 80 pts | Risk: read | Naming: 10/15, Desc: 15/20, Input: 15/20, Annot: 15/15”

!Naming:10/15
!Description:15/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
burstiness_reportRead85

“burstiness_report: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”

!Naming:10/15
✓Description:20/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
humanize_planRead85

“humanize_plan: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”

!Naming:10/15
✓Description:20/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
verify_rewriteRead85

“verify_rewrite: 85 pts | Risk: read | Naming: 10/15, Desc: 20/20, Input: 15/20, Annot: 15/15”

!Naming:10/15
✓Description:20/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15

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