Kashif — Website Audit
Server Details
Scores a business's online presence 0–100 and names the top issues to fix — search visibility, whether AI assistants can read and recommend it, speed and first impression, trust, and how easy the business is to reach. Give the scan_website tool a URL and it returns the score with the top issues, in chat. English and Arabic. By BottleTech (bottletech.net).
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Available Tools
1 toolscan_websiteScore a business’s online presenceAInspect
Score how well a business shows up online, out of 100, and name what is hurting it most. Give it a website (and an email to send the full report to) and it runs Kashif's audit of the business's online presence: whether customers can find them in search, whether AI assistants can read and recommend them, how fast the site feels on a phone and the first impression it makes, how trustworthy it looks, and how easy the business is to reach (WhatsApp, phone, a contact form). Returns a 0-100 score with the top issues to fix first. Use it whenever someone asks to audit, check, review, grade or improve a company's website or online presence. This starts a live scan and creates a lead for the Kashif team, who follow up with the full written report by email.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The business’s website, e.g. example.com or https://example.com. | |
| name | No | Optional: the person or business name, used to label the lead. | |
| Yes | An email address to send the full written report to. Required — this is a lead for the team. | ||
| language | No | Report language: "en" (default) or "ar" for Arabic. |
Output Schema
| Name | Required | Description |
|---|---|---|
| note | Yes | Plain-language context about the score and the full report to come. |
| score | Yes | 0-100 online-presence score, or null until the quick pass finishes. |
| status | Yes | "ready" = quick score below; "processing" = still running, report follows; "failed" = site could not be checked. |
| website | Yes | The website that was scanned. |
| findings | Yes | The top issues to fix first, most urgent first. |
| Yes | A WhatsApp link to reach the Kashif team about this business. |
TDQS
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already mark readOnlyHint=false and destructiveHint=false. The description adds critical behavioral context: 'This starts a live scan and creates a lead for the Kashif team, who follow up with the full written report by email.' This discloses side effects (lead creation) and the fact that it's a live operation, going beyond the annotations.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is longer than average but every sentence contributes: purpose, audit criteria, output, usage trigger, and side effect notification. It is front-loaded with the core purpose and efficiently packs information without fluff. Slightly verbose but well-structured, hence a 4.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's complexity (live scan, lead creation, 4 parameters, output schema), the description covers the action, inputs, output format, and side effects. Since an output schema exists, the return values are sufficiently covered. It gives the agent everything needed to invoke correctly in context.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
Schema coverage is 100%, so the baseline is 3. The description reinforces that url and email are required inputs, but it does not add new parameter-specific semantics beyond what the schema already provides. The email's role as 'required for report delivery' is a slight addition, but not enough to raise the score.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Does the description clearly state what the tool does and how it differs from similar tools?
The description opens with a specific verb and resource: 'Score how well a business shows up online, out of 100, and name what is hurting it most.' It clearly outlines the audit dimensions and the output. Even without siblings, the purpose is unmistakable and distinct from generic tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Does the description explain when to use this tool, when not to, or what alternatives exist?
It states exactly when to use the tool: 'Use it whenever someone asks to audit, check, review, grade or improve a company's website or online presence.' This is explicit and provides strong triggering guidance. However, it does not mention when not to use it or alternative tools, so it misses the full bar of 5.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Tool Schema Changelog
Recent tool additions, removals, and schema changes observed during successful MCP inspections. Dates show when Glama detected each change.
1 tool update
- First observed
scan_website
Frequently Asked Questions
Claiming proves that you control a remote MCP connector. It does not move, proxy, or interrupt the server.
Open the connector listing, choose Claim ownership, and sign in to Glama.
Complete one verification method:
GitHub identity — fastest for official registry listings. For a namespace such as
io.github.alice/server, link the matching GitHub user, then choose Claim with GitHub. An organization namespace such asio.github.acme/serveralso needs that organization to have installed the Glama AI GitHub App and approved its permissions, because GitHub discloses organization membership only to apps it has installed. Use HTTP or DNS when it has not.HTTP challenge — works when you can deploy a public file. Generate a token, publish the exact JSON Glama shows at
/.well-known/glama.jsonon the same origin as the connector, then choose Check HTTP challenge.DNS challenge — works when you control DNS but cannot change the server. Generate a token, create the exact TXT record Glama shows, wait for it to propagate, then choose Check DNS challenge.
After verification, Glama sends a confirmation email and gives you access to listing details, thumbnails, health checks, and analytics. Keep the HTTP file or DNS record in place: Glama periodically checks it and ownership remains verified while the token is discoverable.
The HTTP ownership file has this structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"claim": "glama_claim_..."
}Claim tokens are opaque, stable, and bound to the signed-in Glama account. They contain no email address or other personal information. If Glama can no longer discover a verified HTTP or DNS token, it starts a seven-day grace period before removing claim-based access. Restore the same token during that period to keep ownership verified. Never publish an email address, Glama session token, GitHub token, or connector credential as ownership proof.
If verification fails, confirm that you copied the current token exactly. The HTTP file must be public, return valid JSON with a successful HTTP response, and stay on the connector's origin. DNS changes may need more time to propagate. A claim cannot transfer to a different origin or hostname: if the connector target changes, Glama starts the grace period and the new target must be claimed separately after the previous claim is released.
For a connector linked to the official MCP Registry, registry updates continue to replace its name, description, and URL by default. After claiming, open Manage connector and enable Use Glama listing details as the source of truth if edits made on Glama should be preserved. Categories and thumbnails are always managed on Glama; registry linkage and technical connection settings continue to sync.
Control your server's listing on Glama, including description and metadata
Access analytics and receive server usage reports
Get monitoring and health status updates for your server
Feature your server to boost visibility and reach more users
To improve your MCP server's ranking:
Claim ownership of the server listing
Complete the server profile with an accurate description and thumbnail
Provide a test profile so Glama can connect to and evaluate the server
Keep tool definitions clear and complete to earn a high Tool Definition Quality Score (TDQS)
Route real usage through the Glama Gateway; more recorded successful server uses also improve the ranking
For users:
Full audit trail – every tool call is logged with inputs and outputs for compliance and debugging
Granular tool control – enable or disable individual tools per connector to limit what your AI agents can do
Centralized credential management – store and rotate API keys and OAuth tokens in one place
Change alerts – get notified when a connector changes its schema, adds or removes tools, or updates tool definitions, so nothing breaks silently
For server owners:
Proven adoption – public usage metrics on your listing show real-world traction and build trust with prospective users
Tool-level analytics – see which tools are being used most, helping you prioritize development and documentation
Direct user feedback – users can report issues and suggest improvements through the listing, giving you a channel you would not have otherwise
The connector status is unhealthy when Glama is unable to successfully connect to the server. This can happen for several reasons:
The server is experiencing an outage
The URL of the server is wrong
Credentials required to access the server are missing or invalid
If you are the owner of this MCP connector and would like to make modifications to the listing, including providing test credentials for accessing the server, please contact support@glama.ai.
Discussions
No comments yet. Be the first to start the discussion!
Related MCP Servers
- AlicenseNot gradedqualityDmaintenanceEnables detection and analysis of pre-public product launches through web search, content extraction, AI-powered scoring, and automated alerting. Provides comprehensive tools for surfacing stealth startup signals before they trend publicly.MIT

industrylens-mcpofficial
AlicenseNot gradedqualityBmaintenanceBrowse IndustryLens's published competitive-intelligence reports and head-to-head competitor comparisons from any AI agent — real, source-backed data.MIT- AlicenseNot gradedqualityCmaintenanceEnables AI chat clients to perform market research and competitive intelligence by gathering company overviews, competitor lists, product portfolios, pricing snapshots, and recent news via live Tavily search.MIT
- AlicenseAqualityAmaintenanceDetects hiring intent signals by scanning job boards for specific companies. Returns structured role data for outbound sales targeting.11961MIT
Glama MCP Gateway
Add one secure layer between your agents and this server.
TDQS
Only one tool exists, so there is no possibility of confusion or overlap. The tool's purpose is clearly defined and distinct.
With a single tool named scan_website, the naming follows a clear verb_noun pattern and there are no inconsistencies to evaluate.
The server has only one tool, which feels thin for a website audit service that likely involves ongoing tracking or multiple report types. However, the tool is substantial in scope, weakening the negative impact of the small count.
The tool covers a single action (starting a scan) but lacks complementary operations like retrieving past audits, checking scan status, or managing leads. This creates notable gaps for a complete workflow.