← Back to Check

ai-cto

https://ai-cto.mcpize.run

Scanned Jun 7, 2026

A91/100
Clarity
98
Protocol
95
Auth
0
Reliability
100
Trust
86
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 (98)Protocol (95)Auth (0)Reliability (100)Trust (86)Safety (87)Market (65)

Top Issues

3 found
MEDIUM

Custom domain: Default hosting subdomain

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:No○
Session ID:Yes✓
Protocol Checks
✓
Ping

Server responded to ping

✓
Session ID

Valid Mcp-Session-Id assigned (36 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 accepts DELETE for session termination (200)

✓
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: 285ms
✓HTTPS
○Default hosting subdomain
✓Name: ai-cto, Version: 1.0.0
✓Structured errors

Market

UniquenessCan it be done with an LLM alone?
9/10

external: api, endpoint, database; LLM-native: json

OriginalityHow many similar servers exist?
1/10

5+ similar servers — crowded space

DemandHow broad is the audience?
8/10

Domain "database" has broad developer audience

Competitors found

MCP Servers Explained: Why Most Are Useless (And How to Fix It)

95% of MCP servers are essentially a waste of time. Many are slower and more complex than the terminal tools agents can already use ...

The Strategic Guide to Model Context Protocol (MCP) - Medium

A decision-maker's guide to understanding when, why, and where MCP servers transform your AI integration strategy.

MCP Server Use Cases: Giving AI Models Business Context

The MCP Server bridges AI and enterprise data, delivering context-aware insights you can trust, automate, and act on with confidence.

Model Context Protocol (MCP): Turning Enterprise Architecture Into ...

Model Context Protocol (MCP) enables AI to reason over governed enterprise architecture models instead of inferring context from documents.

MCP Enterprise Architecture: The Complete Reference Guide - Obot AI

MCP servers provide a standardized bridge for AI applications to reach enterprise data, tools, and workflows without point-to-point integrations ...

Tools (19 tools)

makeCTODecisionUnknown30

“makeCTODecision: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
analyzeProductUnknown30

“analyzeProduct: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
recommendArchitectureUnknown30

“recommendArchitecture: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
recommendStackUnknown30

“recommendStack: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
estimateCostUnknown30

“estimateCost: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
assessSecurityUnknown30

“assessSecurity: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
estimateTimelineUnknown30

“estimateTimeline: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
planTeamUnknown30

“planTeam: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
assessRiskUnknown30

“assessRisk: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateScalingRoadmapUnknown30

“generateScalingRoadmap: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
analyzeInfrastructureWasteUnknown30

“analyzeInfrastructureWaste: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
designDatabaseUnknown30

“designDatabase: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateBRDUnknown30

“generateBRD: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generatePRDUnknown30

“generatePRD: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateERDUnknown30

“generateERD: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateDatabaseSchemaUnknown30

“generateDatabaseSchema: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateAPISpecUnknown30

“generateAPISpec: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateMVPScopeUnknown30

“generateMVPScope: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15
generateThreeMonthRoadmapUnknown30

“generateThreeMonthRoadmap: 30 pts | Risk: unknown | Naming: 0/15, Desc: 10/20, Input: 15/20, Annot: 0/15”

✗Naming:0/15
!Description:10/20
!Input Schema:15/20
○Output Schema:0/10(bonus)
✗Annotations:0/15
✗Error Hints:0/15

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