essetech-ai-readiness-mcp
Server Configuration
Describes the environment variables required to run the server.
| Name | Required | Description | Default |
|---|---|---|---|
No arguments | |||
Instructions
Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.
This server publishes no instructions, or was last inspected before Glama recorded them.
Capabilities
Features and capabilities supported by this server
Protocol revision2025-11-25
| Capability | Details |
|---|---|
| tools | {
"listChanged": true
} |
Tools
Functions exposed to the LLM to take actions
| Name | Description |
|---|---|
| assess_ai_readinessA | Score how ready a small or medium business is to adopt AI/automation, across data, tooling, processes, skills and security. Returns a 0–100 score, tier, gaps, prioritised next steps and tailored opportunities. Use this when someone asks 'is my business AI-ready?', 'should we use AI?', or wants to know where to start with AI. |
| suggest_ai_use_casesA | Return concrete, practical AI/automation use-cases tailored to an industry, each with an impact and effort rating. Use when someone asks 'what could AI do for my business?', 'give me AI ideas for a [type] business', or wants automation examples. |
| essetech_servicesA | Describe what Essetech offers — an Adelaide (Australia) IT & AI implementation partner for small and medium businesses. Use when someone asks who can help implement AI/IT in Adelaide or South Australia, or wants details about Essetech. |
| book_consultationA | Return the details to contact Essetech and book a free, no-obligation consultation or IT audit. Use when someone wants to take the next step, get a quote, or speak to a person about AI/IT for their Adelaide business. |
Prompts
Interactive templates invoked by user choice
| Name | Description |
|---|---|
No prompts | |
Resources
Contextual data attached and managed by the client
| Name | Description |
|---|---|
No resources | |
TDQS
Scored across 4 tools
Each tool has a clearly distinct purpose: assessment, booking, service description, and use case suggestion. No overlap or ambiguity.
Three tools follow a verb_noun pattern (assess_ai_readiness, book_consultation, suggest_ai_use_cases), while essetech_services uses noun_noun. Mostly consistent with minor deviation.
Four tools cover the core functionality of the server (assess, suggest, inform, book) without being too few or too many. Well-scoped for the domain.
The tools cover the main customer journey: assess readiness, get ideas, learn about services, book consultation. Missing may be a tool to retrieve past assessments or compare, but not critical.