scamcheck-mcp-server
Server Details
Scan suspicious messages, URLs, and text for scams with AI. Free tier - no API key required.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
Connect through Glama MCP Gateway for full control over tool access and complete visibility into every call.
Full call logging
Every tool call is logged with complete inputs and outputs, so you can debug issues and audit what your agents are doing.
Tool access control
Enable or disable individual tools per connector, so you decide what your agents can and cannot do.
Managed credentials
Glama handles OAuth flows, token storage, and automatic rotation, so credentials never expire on your clients.
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 4.2/5 across 1 of 1 tools scored.
With only one tool, there is no possibility of confusion or overlap. The agent will always select the correct tool.
A single tool cannot exhibit inconsistency; the name 'scan_message' is clear and follows a verb_noun pattern.
While one tool is minimal, it covers the core functionality of scanning messages. However, the domain might benefit from additional tools for different input types or configurations, making the count feel slightly thin.
The tool provides a thorough analysis (verdict, score, category, confidence, reasons, actions) for suspicious text. Minor gaps exist, such as no support for batch scanning or file attachments, but the core need is well-served.
Available Tools
1 toolscan_messageARead-onlyIdempotentInspect
Scan a suspicious message, URL, or text for scam indicators using ScamCheck AI. Returns a verdict (Likely Scam / Suspicious / Likely Safe), risk score 0-100, category, confidence percentage, reasons flagged, and recommended actions. Use this whenever a user shares a message they received and wants to know if it's a scam.
| Name | Required | Description | Default |
|---|---|---|---|
| input | Yes | The message, URL, or text to scan. Minimum 8 characters. | |
| source | No | Content type: text (default), url, or screenshot. | text |
Output Schema
| Name | Required | Description |
|---|---|---|
| risk | Yes | Overall risk level: high, medium, or low |
| score | Yes | Risk score from 0 (safe) to 100 (certain scam) |
| reasons | Yes | Why this was flagged |
| summary | Yes | 1-2 sentence analysis |
| verdict | Yes | Likely Scam | Suspicious | Likely Safe |
| category | No | Scam category, e.g. phishing, lottery_scam, job_scam |
| confidence | No | Confidence percentage 0-99 |
| next_steps | No | What the user should do now |
| result_url | No | Shareable full-report URL |
| recovery_steps | No | Steps if the user already fell for it |
Tool Definition Quality
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
Annotations already provide readOnlyHint, idempotentHint, etc. Description adds that it uses ScamCheck AI and returns multiple fields. No contradictions; additional behavioral context is helpful but not necessary.
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?
Two sentences, front-loaded with purpose and output, followed by usage guidance. No redundant words, earns its place.
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?
Has output schema, so return values are documented. Description covers main use case. Could mention limitations or edge cases, but overall complete for a scanning tool.
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 description coverage is 100%, so baseline is 3. Description does not add new parameter details beyond what schema provides; it only summarizes the tool's action. Adequate.
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?
Description clearly states it scans messages, URLs, or text for scam indicators using ScamCheck AI, and lists specific outputs (verdict, risk score, etc.). It is a specific verb+resource combination with clear purpose.
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?
Explicitly tells when to use: 'whenever a user shares a message they received and wants to know if it's a scam.' No siblings, so sufficient. Could mention when not to use, but not necessary.
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.
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
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!