local-audit-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 |
|---|---|
| fetch_pageA | Fetch a public web page and return its readable text (scripts/styles stripped). Use for quick content checks before deeper analysis. |
| extract_signalsA | Fetch a business's website and extract signals: mobile readiness, contact info, booking system, socials, chat widgets, pricing hints, FAQs. Output feeds score_presence. |
| score_presenceA | Score a business's web presence using audit checkpoints (0-10), list gaps ranked by revenue impact, and recommend the offer to pitch. Provide either signals (from extract_signals) or a url (will extract first). Manual overrides: google_claimed, replies_to_reviews, social_active_90d, fast_response_24h. |
| extract_faqsA | Pull FAQ question/answer pairs from a business website: structured FAQ schema first, then question headings, then question-like text lines. Use to seed chatbot demos. |
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 fairly distinct role in the pipeline (raw fetch, signal extraction, scoring, FAQ extraction), and score_presence explicitly documents its input dependency on extract_signals. However, fetch_page and extract_signals both fetch page content, and FAQs are listed as a signal inside extract_signals while also being the sole purpose of extract_faqs, which creates moderate overlap.
All four tools follow a clean snake_case verb_noun pattern: fetch_page, extract_signals, score_presence, extract_faqs. No mixed conventions or vague standalone verbs.
Four tools is slightly thin but fits a narrow, focused audit pipeline where each tool maps to a pipeline stage. Supporting optional parameters on score_presence (signals vs url, manual overrides) keep the count low without losing capability.
The core sequence fetch → extract → score is covered, but the surface has no way to persist or export an audit result, batch or compare multiple businesses, or re-fetch signals for a saved business. These are notable gaps for an audit workflow that otherwise looks self-contained.