Opzyai Vibe Check
Server Details
Free no-account URL security scan: 0-100 Launch Readiness score for any live site in ~15 seconds.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
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Managed credentials
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Usage analytics
See which tools your agents call, how often, and when, so you can understand usage patterns and catch anomalies.
Tool Definition Quality
Average 4.5/5 across 1 of 1 tools scored.
Only one tool exists, so there is no possibility of confusing it with another. The tool's purpose is clearly defined as scanning a URL for security issues.
The single tool name 'scan_url' follows a clear verb_noun pattern. With only one tool, there is no internal inconsistency to evaluate.
With just one tool, the server feels thin even though the tool itself is comprehensive. A single scan operation is borderline for a security scanner; additional tools like rescanning or comparing could be expected.
The tool covers the full scope of a quick security 'vibe check' by scanning for leaks, configs, headers, and providing a readiness score with fixes. There are no obvious missing operations needed to achieve the stated purpose.
Available Tools
1 toolscan_urlRun a Vibe CheckARead-onlyInspect
Scan a live URL for leaked API keys, exposed config files and missing security headers. Returns a Launch Readiness score (0-100) and a paste-ready fix for each finding. Use before deploying, or when checking the security of an app built with AI coding tools like Cursor, Lovable, v0 or Bolt.
| Name | Required | Description | Default |
|---|---|---|---|
| url | Yes | The full public URL of the live app to scan, e.g. https://myapp.vercel.app |
Output Schema
| Name | Required | Description |
|---|---|---|
| host | Yes | |
| score | Yes | |
| findings | Yes | |
| reachable | Yes | |
| reportUrl | Yes |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already declare readOnlyHint=true and openWorldHint=true, covering the safety and network access profile. The description adds value by disclosing the output format (Launch Readiness score 0-100 and past-ready fix) and the type of findings, which is beyond the annotations. It doesn't mention potential latency or limitations, but given the strong annotation coverage, this is acceptable.
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 two sentences, front-loaded with the primary function, followed by usage guidance. Every word is informative, with no filler or redundancy. The title 'Run a Vibe Check' is informal but the description itself is concise and well-structured.
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?
With a single parameter, full schema coverage, an available output schema, and annotations, the context is nearly complete. The description adds the output type and use cases, so the agent has all necessary information to select and invoke the tool correctly. No gaps are evident.
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?
The input schema has 100% coverage for the single 'url' parameter, describing it as 'full public URL of the live app to scan'. The description reinforces this with 'live URL' but adds no additional semantic detail beyond what the schema provides. The baseline of 3 applies because the schema does the heavy lifting.
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 clearly states the verb 'Scan' and the resource 'a live URL', with specific objects of the scan: leaked API keys, exposed config files, and missing security headers. It also mentions the output (score and fixes), making the tool's purpose unambiguous. While there are no sibling tools to distinguish from, the description is highly specific and action-oriented.
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?
The description explicitly states when to use the tool: 'Use before deploying, or when checking the security of an app built with AI coding tools like Cursor, Lovable, v0 or Bolt.' This provides clear context and a concrete use case. With no sibling tools, there's no need for alternative exclusions, and the guidance is fully sufficient.
Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.
Claim this connector by publishing a /.well-known/glama.json file on your server's domain with the following structure:
{
"$schema": "https://glama.ai/mcp/schemas/connector.json",
"maintainers": [{ "email": "your-email@example.com" }]
}The email address must match the email associated with your Glama account. Once published, Glama will automatically detect and verify the file within a few minutes.
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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.
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