Schema | MCP PII Tools

MCP PII Tools

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Server Configuration

Describes the environment variables required to run the server.

Name	Required	Description	Default
`OPENAI_API_KEY`	Yes	OpenAI API key (https://platform.openai.com/api-keys)
`PII_MASTER_KEY`	Yes	PII encryption master key (32+ characters recommended)

Instructions

Guidance the server publishes about itself, which clients place ahead of the tool catalog so the model reads it before choosing anything.

This server publishes no instructions, or was last inspected before Glama recorded them.

Capabilities

Server capabilities have not been inspected yet.

Tools

Functions exposed to the LLM to take actions

Name	Description
mcp_detect_piiC	`MCP Tool: 텍스트에서 PII 탐지 Args: text (str): 분석할 텍스트 Returns: Dict[str, Any]: 탐지 결과`
mcp_process_textC	`MCP Tool: 텍스트 PII 처리 (탐지 + 익명화) Args: text (str): 처리할 텍스트 Returns: Dict[str, Any]: 처리 결과`
mcp_batch_processD	`MCP Tool: 여러 텍스트 일괄 처리 Args: texts (List[str]): 처리할 텍스트 리스트 Returns: Dict[str, Any]: 일괄 처리 결과`
mcp_anonymize_textC	`MCP Tool: 텍스트 익명화 Args: text (str): 원본 텍스트 pii_items (List[Dict[str, Any]]): PII 항목들 Returns: str: 익명화된 텍스트`
mcp_encrypt_pii_itemC	`MCP Tool: PII 항목 암호화 Args: pii_value (str): 암호화할 PII 값 pii_type (str): PII 유형 (이름, 전화번호, 이메일 등) Returns: Dict[str, Any]: 암호화 결과`
mcp_decrypt_pii_itemC	`MCP Tool: PII 항목 복호화 Args: encrypted_value (str): 복호화할 암호화된 값 pii_type (str): PII 유형 Returns: Dict[str, Any]: 복호화 결과`
mcp_encrypt_text_piiC	`MCP Tool: 텍스트에서 PII를 탐지하고 암호화 Args: text (str): 처리할 텍스트 Returns: Dict[str, Any]: 암호화 처리 결과`
mcp_decrypt_text_piiC	`MCP Tool: 암호화된 텍스트에서 PII 복호화 Args: encrypted_text (str): 암호화된 텍스트 encrypted_items (Dict[str, str]): 원본값 -> 암호화값 매핑 Returns: Dict[str, Any]: 복호화 결과`

Prompts

Interactive templates invoked by user choice

Name	Description
No prompts

Resources

Contextual data attached and managed by the client

Name	Description
No resources

Deploy Server

One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

TDQS

C2.9/5.0

Scored 2026-04-18 08:40 across 8 tools

Disambiguation3/5

There is significant functional overlap between tools, particularly mcp_encrypt_text_pii and mcp_process_text which both combine detection with another operation, and mcp_decrypt_pii_item versus mcp_decrypt_text_pii which differ in scope but share core purpose. However, the descriptions help clarify the distinctions, preventing complete confusion.

Naming Consistency5/5

All tools follow a consistent mcp_verb_noun naming pattern with snake_case throughout. The verbs (anonymize, batch_process, decrypt, detect, encrypt, process) are descriptive and uniformly applied, making the set predictable and easy to parse.

Tool Count4/5

With 8 tools, the count is reasonable for a PII processing domain, covering detection, encryption, decryption, anonymization, and batch operations. It's slightly heavy due to overlapping tools but still within a well-scoped range for the purpose.

Completeness4/5

The toolset covers core PII operations well: detection, encryption, decryption, and anonymization, with batch processing for scalability. A minor gap exists in update or delete operations for PII data, but agents can work around this with the provided tools for most workflows.

Maintenance

ActivityInactive

ResponsivenessNo issues

Resources

GitHub Repository

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