← Back to Check

moltline-data

https://mcp.moltlinestudio.com/data

Scanned Aug 16, 2026

A+98/100
Clarity
100
Protocol
95
Auth
0
Reliability
100
Trust
100
Safety
87
Market
100

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 (100)

Top Issues

1 found
MEDIUM

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

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: 276ms
✓HTTPS
✓Custom domain detected
✓Name: moltline-data, Version: 3.4.7
✓Structured errors

Market

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

external: file, table, build; LLM-native: csv

OriginalityHow many similar servers exist?
7/10

1 similar server found

DemandHow broad is the audience?
7/10

Domain "linear" has broad developer audience

Competitors found

MCP Server — A/B Test Analysis for AI Assistants

Give your AI assistant the ability to analyze A/B tests, calculate sample sizes, and run Bayesian analysis. Works with Claude, Codex, Cursor, VS Code, and any ...

Tools (7 tools)

csv_profileRead80

“csv_profile: 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
ab_testRead85

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

!Naming:10/15
!Description:15/20
✓Input Schema:20/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
correlationRead75

“correlation: 75 pts | Risk: read | Naming: 5/15, Desc: 15/20, Input: 15/20, Annot: 15/15”

!Naming:5/15
!Description:15/20
!Input Schema:15/20
✓Output Schema:10/10
✓Annotations:15/15
!Error Hints:10/15
growth_ratesRead80

“growth_rates: 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
funnel_reportRead80

“funnel_report: 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
cohort_retentionRead80

“cohort_retention: 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
forecast_trendRead80

“forecast_trend: 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

Publish on MCPize

Get OAuth, billing, and discovery for free. Your server scored A+ — developers are looking for this.

Get Started →
Share on TwitterShare on LinkedIn