ai-visibility-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 |
|---|---|
| check_brand_visibilityA | Check a brand's visibility across AI platforms (ChatGPT, Perplexity, Claude, Gemini). Simulates realistic queries and analyzes mention rates, positions, sentiment, and competitor landscape. |
| check_single_queryA | Check if a brand is mentioned for a specific query on a specific AI platform. Returns mention status, position, context snippet, sentiment, and competitor mentions. |
| get_visibility_scoreA | Calculate an overall AI visibility score (0-100) for a brand across all four AI platforms. Includes per-platform breakdowns and improvement recommendations. |
| compare_brandsA | Compare the AI visibility of multiple brands side by side. Shows per-platform scores, overall rankings, and relative strengths. |
| get_recommendationsB | Get actionable recommendations to improve a brand's AI visibility. Prioritized suggestions based on current score and industry best practices. |
| list_platformsA | List all supported AI platforms with details about how each sources and presents brand information. |
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 6 tools
Each tool has a clearly distinct purpose: overall visibility analysis, single query check, brand comparison, recommendations, scoring, and platform listing. No overlap in functionality.
All tools follow a consistent verb_noun pattern in snake_case (e.g., check_brand_visibility, list_platforms), with no deviations or mixed conventions.
With 6 tools, the server is well-scoped for AI visibility monitoring. Each tool addresses a necessary aspect without redundancy or bloat.
The tool set covers core use cases like checking visibility, comparing brands, and getting recommendations. Minor gaps exist (e.g., no historical trend tracking or alerts), but the surface is largely complete for its stated purpose.