Purpose
namegender-mcp is an MCP (Model Context Protocol) tool used to infer gender from names, email addresses, and usernames. It performs queries through the NameGender service and is suitable for scenarios where gender inference capability needs to be added to AI workflows or applications.
Main Capabilities
- Infer gender from names, email addresses, and usernames.
- Each returned result includes probability, sample size, and data source, making it easy to assess the credibility of the result.
- Supports batch queries, processing up to 100 values at a time.
- Can query which countries have records for a given name.
Usage
This tool is provided in MCP form and can be integrated into AI applications or development environments that support MCP. Specific installation commands, configuration methods, and invocation examples are not yet provided.
Applicable Scenarios
- Supplementing gender information based on names, email addresses, or usernames in data processing or user analysis.
- Scenarios that require batch gender inference and attention to result confidence.
- Scenarios that require understanding the regional distribution of names (recorded countries).
Limitations
- Gender inference is probability-based, and results are not absolutely accurate.
- The single-query upper limit for batch queries is 100 values.
- Specific installation, configuration, and usage steps are not yet provided.
