A
license-
qualityD
maintenanceMCP server providing IP address lookup capabilities. Enables AI assistants to fetch details about public IP addresses or the user's current device IP.
Last updated
98
ISC
openai
by com.seoapi
Server Details
Validate GPTBot and OAI-SearchBot IP addresses. Remote MCP validate_ip tool.
- Status
- Healthy
- Last Tested
- Transport
- Streamable HTTP
- URL
Glama MCP Gateway
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MCP client
Glama
MCP server
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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.
100% free. Your data is private.
Tool Definition Quality
A3.9/5.0
Tool DescriptionsA
Average 4.1/5 across 1 of 1 tools scored.
Server CoherenceB
Disambiguation5/5
With only one tool, there is no risk of confusion between tools. The single tool has a clear and distinct purpose.
Naming Consistency5/5
The tool name 'validate_ip' follows a clear verb_noun pattern. With only one tool, naming consistency is perfect.
Tool Count2/5
For a server named 'openai', which suggests a broad set of OpenAI-related capabilities, having only one tool for IP validation feels insufficient and mismatched to the implied scope.
Completeness1/5
Given the server name 'openai', the surface is severely incomplete, lacking any tools for API interactions, model listings, or other core OpenAI functionalities.
Available Tools
1 toolvalidate_ipValidate OpenAI GPTBot IPAInspect
Check whether an IP address (IPv4 or IPv6) is a genuine OpenAI GPTBot IP address, verified against OpenAI GPTBot's published IP data on seoapi.com.
ParametersJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| ip | Yes | The IPv4 or IPv6 address to validate |
Tool Definition Quality
A4.1/5.0
Behavior4/5
Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?
The description discloses the verification source (OpenAI GPTBot's published IP data on seoapi.com), adding transparency beyond annotations. It does not mention side effects or rate limits, but for a read-only check, this is sufficient.
Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.
Conciseness5/5
Is the description appropriately sized, front-loaded, and free of redundancy?
The description is a single, clear sentence with no waste. It is appropriately front-loaded and every word contributes to the purpose.
Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.
Completeness5/5
Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?
Given the tool's simplicity (one parameter, no output schema), the description fully covers the purpose and verification source, leaving no gaps in understanding.
Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.
Parameters3/5
Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?
The input schema covers 100% of parameters with a description of the 'ip' parameter as 'The IPv4 or IPv6 address to validate'. The description repeats this, adding no new semantic value, so baseline 3 is appropriate.
Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.
Purpose5/5
Does the description clearly state what the tool does and how it differs from similar tools?
The description explicitly states the tool checks if an IP address (IPv4 or IPv6) is a genuine OpenAI GPTBot IP, verified against published data. This is a specific verb-resource combination and distinguishes it from any potential related tools.
Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.
Usage Guidelines3/5
Does the description explain when to use this tool, when not to, or what alternatives exist?
The description implies usage when you need to validate an IP against GPTBot data, but it does not provide explicit guidance on when to use alternatives or exclude cases. For a simple validation tool, this is adequate but not explicit.
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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